Main track (Agent-based and Multi-agent Systems)

  • A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
    Pallavi Bagga, Nicola Paoletti, Bedour Alrayes, Kostas Stathis
    Main track (Agent-based and Multi-agent Systems)
  • A Multi-Objective Approach to Mitigate Negative Side Effects
    Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
    Main track (Agent-based and Multi-agent Systems)
  • A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork
    Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone
    Main track (Agent-based and Multi-agent Systems)
  • Almost Group Envy-free Allocation of Indivisible Goods and Chores
    Haris Aziz, Simon Rey
    Main track (Agent-based and Multi-agent Systems)
  • Altruism in Coalition Formation Games
    Anna Maria Kerkmann, Jörg Rothe
    Main track (Agent-based and Multi-agent Systems)
  • An Algorithm for Multi-Attribute Diverse Matching
    Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark Fuge, Samir Khuller
    Main track (Agent-based and Multi-agent Systems)
  • Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types
    Trung Thanh Nguyen, Jörg Rothe
    Main track (Agent-based and Multi-agent Systems)
  • Assume-Guarantee Synthesis for Prompt Linear Temporal Logic
    Nathanaël Fijalkow, Bastien Maubert, Aniello Murano, Moshe Vardi
    Main track (Agent-based and Multi-agent Systems)
  • Biased Opinion Dynamics: When the Devil is in the Details
    Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
    Main track (Agent-based and Multi-agent Systems)
  • Budgeted Facility Location Games with Strategic Facilities
    Minming Li, Chenhao Wang, Mengqi Zhang
    Main track (Agent-based and Multi-agent Systems)
  • Combining Direct Trust and Indirect Trust in Multi-Agent Systems
    Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles
    Main track (Agent-based and Multi-agent Systems)
  • Competition Among Contests: a Safety Level Analysis
    Ron Lavi, Omer Shiran-Shvarzbard
    Main track (Agent-based and Multi-agent Systems)
  • Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues
    Evangelos Markakis, Georgios Papasotiropoulos
    Main track (Agent-based and Multi-agent Systems)
  • Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice
    Brandon Fain, William Fan, Kamesh Munagala
    Main track (Agent-based and Multi-agent Systems)
  • Convexity of b-matching Games
    Soh Kumabe, Takanori Maehara
    Main track (Agent-based and Multi-agent Systems)
  • Decentralized MCTS via Learned Teammate Models
    Aleksander Czechowski, Frans A. Oliehoek
    Main track (Agent-based and Multi-agent Systems)
  • Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium
    Jakub Cerny, Viliam Lisý, Branislav Bošanský, Bo An
    Main track (Agent-based and Multi-agent Systems)
  • Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs
    Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm
    Main track (Agent-based and Multi-agent Systems)
  • Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism
    Aditya Hegde, Vibhav Agarwal, Shrisha Rao
    Main track (Agent-based and Multi-agent Systems)
  • Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise
    Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas
    Main track (Agent-based and Multi-agent Systems)
  • Evaluating Committees for Representative Democracies: the Distortion and Beyond
    Michał Jaworski, Piotr Skowron
    Main track (Agent-based and Multi-agent Systems)
  • Fair Division of Time: Multi-layered Cake Cutting
    Hadi Hosseini, Ayumi Igarashi, Andrew Searns
    Main track (Agent-based and Multi-agent Systems)
  • Fine-Grained View on Bribery for Group Identification
    Niclas Boehmer, Robert Bredereck, Dušan Knop, Junjie Luo
    Main track (Agent-based and Multi-agent Systems)
  • Flow-Based Network Creation Games
    Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko
    Main track (Agent-based and Multi-agent Systems)
  • Formalizing Group and Propagated Trust in Multi-Agent Systems
    Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub
    Main track (Agent-based and Multi-agent Systems)
  • Incentive-Compatible Diffusion Auctions
    Bin Li, Dong Hao, Dengji Zhao
    Main track (Agent-based and Multi-agent Systems)
  • Intention Progression under Uncertainty
    Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah
    Main track (Agent-based and Multi-agent Systems)
  • Keeping Your Friends Close: Land Allocation with Friends
    Edith Elkind, Neel Patel, Alan Tsang, Yair Zick
    Main track (Agent-based and Multi-agent Systems)
  • Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
    Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
    Main track (Agent-based and Multi-agent Systems)
  • Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory
    Wiebe Van der Hoek, Louwe Kuijer, Yì Wáng
    Main track (Agent-based and Multi-agent Systems)
  • Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
    Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang
    Main track (Agent-based and Multi-agent Systems)
  • Maximum Nash Welfare and Other Stories About EFX
    Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris
    Main track (Agent-based and Multi-agent Systems)
  • Mechanism Design for School Choice with Soft Diversity Constraints
    Haris Aziz, Serge Gaspers, Zhaohong Sun
    Main track (Agent-based and Multi-agent Systems)
  • Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach
    Yujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram
    Main track (Agent-based and Multi-agent Systems)
  • Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
    Ying Wen, Yaodong Yang, Jun Wang
    Main track (Agent-based and Multi-agent Systems)
  • Monte-Carlo Tree Search for Scalable Coalition Formation
    Feng Wu, Sarvapali D. Ramchurn
    Main track (Agent-based and Multi-agent Systems)
  • On the complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules
    Chinmay Sonar, Palash Dey, Neeldhara Misra
    Main track (Agent-based and Multi-agent Systems)
  • Partial Adversarial Behavior Deception in Security Games
    Thanh H. Nguyen, Arunesh Sinha, He He
    Main track (Agent-based and Multi-agent Systems)
  • Participatory Budgeting with Project Interactions
    Pallavi Jain, Krzysztof Sornat, Nimrod Talmon
    Main track (Agent-based and Multi-agent Systems)
  • Peer-Prediction in the Presence of Outcome Dependent Lying Incentives
    Naman Goel, Aris Filos-Ratsikas, Boi Faltings
    Main track (Agent-based and Multi-agent Systems)
  • PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
    Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
    Main track (Agent-based and Multi-agent Systems)
  • Prophet Inequalities for Bayesian Persuasion
    Niklas Hahn, Martin Hoefer, Rann Smorodinsky
    Main track (Agent-based and Multi-agent Systems)
  • Proportionality in Approval-Based Elections With a Variable Number of Winners
    Rupert Freeman, Anson Kahng, David M. Pennock
    Main track (Agent-based and Multi-agent Systems)
  • Selecting Voting Locations for Fun and Profit
    Zack Fitzsimmons, Omer Lev
    Main track (Agent-based and Multi-agent Systems)
  • Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions
    Tahar Allouche, Bruno Escoffier, Stefano Moretti, Meltem Öztürk
    Main track (Agent-based and Multi-agent Systems)
  • Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities
    Yanchen Deng, Bo An
    Main track (Agent-based and Multi-agent Systems)
  • Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP
    Jiehua Chen, Robert Ganian, Thekla Hamm
    Main track (Agent-based and Multi-agent Systems)
  • Stable Roommate Problem with Diversity Preferences
    Niclas Boehmer, Edith Elkind
    Main track (Agent-based and Multi-agent Systems)
  • Strategic Campaign Management in Apportionment Elections
    Robert Bredereck, Piotr Faliszewski, Michal Furdyna, Andrzej Kaczmarczyk, Martin Lackner
    Main track (Agent-based and Multi-agent Systems)
  • Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio
    Minming Li, Pinyan Lu, Yuhao Yao, Jialin Zhang
    Main track (Agent-based and Multi-agent Systems)
  • Sybil-proof Answer Querying Mechanism
    Yao Zhang, Xiuzhen Zhang, Dengji Zhao
    Main track (Agent-based and Multi-agent Systems)
  • Synthesis of Deceptive Strategies in Reachability Games with Action Misperception
    Abhishek N. Kulkarni, Jie Fu
    Main track (Agent-based and Multi-agent Systems)
  • The Competitive Effects of Variance-based Pricing
    Ludwig Dierks, Sven Seuken
    Main track (Agent-based and Multi-agent Systems)
  • The Complexity of Election Problems with Group-Separable Preferences
    Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova
    Main track (Agent-based and Multi-agent Systems)
  • Tight Approximation for Proportional Approval Voting
    Szymon Dudycz, Pasin Manurangsi, Jan Marcinkowski, Krzysztof Sornat
    Main track (Agent-based and Multi-agent Systems)
  • Uniform Welfare Guarantees Under Identical Subadditive Valuations
    Siddharth Barman, Ranjani G. Sundaram
    Main track (Agent-based and Multi-agent Systems)
  • Verifying Fault-Tolerance in Probabilistic Swarm Systems
    Alessio Lomuscio, Edoardo Pirovano
    Main track (Agent-based and Multi-agent Systems)
  • Well-Structured Committees
    Sushmita Gupta, Pallavi Jain, Saket Saurabh
    Main track (Agent-based and Multi-agent Systems)
  • When to Follow the Tip: Security Games with Strategic Informants
    Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang
    Main track (Agent-based and Multi-agent Systems)

    • Main track (AI Ethics)

  • Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems
    Boli Fang, Miao Jiang, Pei-yi Cheng, Jerry Shen, Yi Fang
    Main track (AI Ethics)
  • Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
    Samuel Yeom, Matt Fredrikson
    Main track (AI Ethics)
  • Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models
    Pingchuan Ma, Shuai Wang, Jin Liu
    Main track (AI Ethics)
  • Relation-Based Counterfactual Explanations for Bayesian Network Classifiers
    Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni
    Main track (AI Ethics)
  • WEFE: The Word Embeddings Fairness Evaluation Framework
    Pablo Badilla, Felipe Bravo-Marquez, Jorge Pérez
    Main track (AI Ethics)

    • Main track (Computer Vision)

  • A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time
    Elena Burceanu, Marius Leordeanu
    Main track (Computer Vision)
  • A Graph-based Interactive Reasoning for Human-Object Interaction Detection
    Dongming Yang, Yuexian Zou
    Main track (Computer Vision)
  • A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
    Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang
    Main track (Computer Vision)
  • Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection
    Xue Lin, Qi Zou, Xixia Xu
    Main track (Computer Vision)
  • AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation
    Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun
    Main track (Computer Vision)
  • BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
    Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang
    Main track (Computer Vision)
  • Bi-level Probabilistic Feature Learning for Deformable Image Registration
    Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo
    Main track (Computer Vision)
  • Biased Feature Learning for Occlusion Invariant Face Recognition
    Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao
    Main track (Computer Vision)
  • Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
    Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
    Main track (Computer Vision)
  • Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection
    Lianli Gao, Zhilong Zhou, Heng Tao Shen, Jingkuan Song
    Main track (Computer Vision)
  • Channel Pruning via Automatic Structure Search
    Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
    Main track (Computer Vision)
  • Channel-Level Variable Quantization Network for Deep Image Compression
    Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa
    Main track (Computer Vision)
  • Characterizing Similarity of Visual Stimulus from Associated Neuronal Response
    Vikram Ravindra, Ananth Grama
    Main track (Computer Vision)
  • Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
    Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang
    Main track (Computer Vision)
  • Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos
    Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao
    Main track (Computer Vision)
  • Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval
    Yuting Su, Yuqian Li, Dan Song, Weizhi Nie, Wenhui Li, An-An Liu
    Main track (Computer Vision)
  • CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
    Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David Doermann
    Main track (Computer Vision)
  • Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift
    Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng
    Main track (Computer Vision)
  • DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
    Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu
    Main track (Computer Vision)
  • Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention
    Feng Li, Runmin Cong, Huihui Bai, Yifan He
    Main track (Computer Vision)
  • Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes
    Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan
    Main track (Computer Vision)
  • Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
    Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland
    Main track (Computer Vision)
  • Diagnosing the Environment Bias in Vision-and-Language Navigation
    Yubo Zhang, Hao Tan, Mohit Bansal
    Main track (Computer Vision)
  • DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
    Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li
    Main track (Computer Vision)
  • Disentangled Feature Learning Network for Vehicle Re-Identification
    Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan
    Main track (Computer Vision)
  • Dress like an Internet Celebrity: Fashion Retrieval in Videos
    Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu
    Main track (Computer Vision)
  • Dynamic Language Binding in Relational Visual Reasoning
    Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
    Main track (Computer Vision)
  • E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation
    Meng Lan, Yipeng Zhang, Qinning Xu, Lefei Zhang
    Main track (Computer Vision)
  • EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings
    Agostina Calabrese, Michele Bevilacqua, Roberto Navigli
    Main track (Computer Vision)
  • Exploiting Visual Semantic Reasoning for Video-Text Retrieval
    Zerun Feng, Zhimin Zeng, Caili Guo, Zheng Li
    Main track (Computer Vision)
  • Feature Augmented Memory with Global Attention Network for VideoQA
    Jiayin Cai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, Ying Shan
    Main track (Computer Vision)
  • Few-shot Human Motion Prediction via Learning Novel Motion Dynamics
    Chuanqi Zang, Mingtao Pei, Yu Kong
    Main track (Computer Vision)
  • Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration
    Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu
    Main track (Computer Vision)
  • G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation
    Yingruo Fan, Zhaojiang Lin
    Main track (Computer Vision)
  • Generating Person Images with Appearance-aware Pose Stylizer
    Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
    Main track (Computer Vision)
  • GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector
    Rui Zheng, Fei Jiang, Ruimin Shen
    Main track (Computer Vision)
  • GSM: Graph Similarity Model for Multi-Object Tracking
    Qiankun Liu, Qi Chu, Bin Liu, Nenghai Yu
    Main track (Computer Vision)
  • HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features
    Zhihui Lin, Chun Yuan, Maomao Li
    Main track (Computer Vision)
  • Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description
    Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang
    Main track (Computer Vision)
  • Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval
    Heyu Zhou, Weizhi Nie, Wenhui Li, Dan Song, An-An Liu
    Main track (Computer Vision)
  • Human Consensus-Oriented Image Captioning
    Ziwei Wang, Zi Huang, Yadan Luo
    Main track (Computer Vision)
  • JPEG Artifacts Removal via Compression Quality Ranker-Guided Networks
    Menglu Wang, Xueyang Fu, Zepei Sun, Zheng-Jun Zha
    Main track (Computer Vision)
  • k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes
    Jiping Zheng, Ganfeng Lu
    Main track (Computer Vision)
  • Label-Attended Hashing for Multi-Label Image Retrieval
    Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou
    Main track (Computer Vision)
  • Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data
    Haytham M. Fayek, Anurag Kumar
    Main track (Computer Vision)
  • Latent Regularized Generative Dual Adversarial Network For Abnormal Detection
    Chengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song
    Main track (Computer Vision)
  • Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
    Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li
    Main track (Computer Vision)
  • Learning Task-aware Local Representations for Few-shot Learning
    Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao
    Main track (Computer Vision)
  • Learning to Discretely Compose Reasoning Module Networks for Video Captioning
    Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha
    Main track (Computer Vision)
  • Lifelong Zero-Shot Learning
    Kun Wei, Cheng Deng, Xu Yang
    Main track (Computer Vision)
  • Meta Segmentation Network for Ultra-Resolution Medical Images
    Tong Wu, Bicheng Dai, Shuxin Chen, Yanyun Qu, Yuan Xie
    Main track (Computer Vision)
  • Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
    Zihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu, Qi Wu
    Main track (Computer Vision)
  • Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition
    Yaohui Zhu, Chenlong Liu, Shuqiang Jiang
    Main track (Computer Vision)
  • Multi-graph Fusion for Functional Neuroimaging Biomarker Detection
    Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Ziwen Peng, Guorong Wu
    Main track (Computer Vision)
  • Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition
    Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha
    Main track (Computer Vision)
  • Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization
    Xinjian Huang, Bo Du, Weiwei Liu
    Main track (Computer Vision)
  • Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
    Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu
    Main track (Computer Vision)
  • Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding
    Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Jing Yuan
    Main track (Computer Vision)
  • Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
    Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang
    Main track (Computer Vision)
  • Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations
    Hongwei Xie, Yafei Song, Ling Cai, Mingyang Li
    Main track (Computer Vision)
  • Pay Attention to Devils: A Photometric Stereo Network for Better Details
    Yakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong
    Main track (Computer Vision)
  • Polar Relative Positional Encoding for Video-Language Segmentation
    Ke Ning, Lingxi Xie, Fei Wu, Qi Tian
    Main track (Computer Vision)
  • Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position
    Xu Ma, Song Fu
    Main track (Computer Vision)
  • Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
    Xinxun Xu, Muli Yang, Yanhua Yang, Hao Wang
    Main track (Computer Vision)
  • Real-World Automatic Makeup via Identity Preservation Makeup Net
    Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang
    Main track (Computer Vision)
  • Recurrent Relational Memory Network for Unsupervised Image Captioning
    Dan Guo, Yang Wang, Peipei Song, Meng Wang
    Main track (Computer Vision)
  • Reference Guided Face Component Editing
    Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun
    Main track (Computer Vision)
  • SBAT: Video Captioning with Sparse Boundary-Aware Transformer
    Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang
    Main track (Computer Vision)
  • SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
    Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma
    Main track (Computer Vision)
  • SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
    Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang
    Main track (Computer Vision)
  • Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
    Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu
    Main track (Computer Vision)
  • Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints
    Mingkang Xiong, Zhenghong Zhang, Weilin Zhong, Jinsheng Ji, Jiyuan Liu, Huilin Xiong
    Main track (Computer Vision)
  • Self-Supervised Tuning for Few-Shot Segmentation
    Kai Zhu, Wei Zhai, Yang Cao
    Main track (Computer Vision)
  • Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation
    Shengyuan Liu, Pei Lv, Yuzhen Zhang, Jie Fu, Junjin Cheng, Wanqing Li, Bing Zhou, Mingliang Xu
    Main track (Computer Vision)
  • Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
    Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu
    Main track (Computer Vision)
  • SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
    Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
    Main track (Computer Vision)
  • Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension
    Han-Yi Lin, Pi-Cheng Hsiu, Tei-Wei Kuo, Yen-Yu Lin
    Main track (Computer Vision)
  • Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks
    Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao
    Main track (Computer Vision)
  • Temporal Adaptive Alignment Network for Deep Video Inpainting
    Ruixin Liu, Zhenyu Weng, Yuesheng Zhu, Bairong Li
    Main track (Computer Vision)
  • TextFuseNet: Scene Text Detection with Richer Fused Features
    Jian Ye, Zhe Chen, Juhua Liu, Bo Du
    Main track (Computer Vision)
  • TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking
    Siyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du
    Main track (Computer Vision)
  • Transductive Relation-Propagation Network for Few-shot Learning
    Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
    Main track (Computer Vision)
  • TRP: Trained Rank Pruning for Efficient Deep Neural Networks
    Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
    Main track (Computer Vision)
  • Unsupervised Scene Adaptation with Memory Regularization in vivo
    Zhedong Zheng, Yi Yang
    Main track (Computer Vision)
  • Unsupervised Vehicle Re-identification with Progressive Adaptation
    Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang
    Main track (Computer Vision)
  • Video Question Answering on Screencast Tutorials
    Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin
    Main track (Computer Vision)
  • Visual Encoding and Decoding of the Human Brain Based on Shared Features
    Chao Li, Baolin Liu, Jianguo Wei
    Main track (Computer Vision)
  • Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
    Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jagersand
    Main track (Computer Vision)
  • Weakly Supervised Local-Global Relation Network for Facial Expression Recognition
    Haifeng Zhang, Wen Su, Jun Yu, Zengfu Wang
    Main track (Computer Vision)
  • When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark
    Xiao Wang, Jun Chen, Zheng Wang, Wu Liu, Shin'ichi Satoh, Chao Liang, Chia-Wen Lin
    Main track (Computer Vision)
  • Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space
    Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng
    Main track (Computer Vision)

    • Main track (Constraints and SAT)

  • Automatic Dominance Breaking for a Class of Constraint Optimization Problems
    Jimmy Lee, Allen Zhong
    Main track (Constraints and SAT)
  • Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs
    Ruiwei Wang, Roland H.C. Yap
    Main track (Constraints and SAT)
  • Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory
    Julien Baste, Michael R. Fellows, Lars Jaffke, Tomáš Masařík, Mateus de Oliveira Oliveira, Geevarghese Philip, Frances A. Rosamond
    Main track (Constraints and SAT)
  • Early and efficient identification of useless constraint propagation for alldifferent constraints
    Xizhe Zhang, Jian Gao, Yizhi Lv, Weixiong Zhang
    Main track (Constraints and SAT)
  • Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints
    Zhendong Lei, Shaowei Cai, Chuan Luo
    Main track (Constraints and SAT)
  • Fast and Parallel Decomposition of Constraint Satisfaction Problems
    Georg Gottlob, Cem Okulmus, Reinhard Pichler
    Main track (Constraints and SAT)
  • Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost
    Hao Hu, Mohamed Siala, Emmanuel Hebrard, Marie-José Huguet
    Main track (Constraints and SAT)
  • Learning Sensitivity of RCPSP by Analyzing the Search Process
    Marc-André Ménard, Claude-Guy Quimper, Jonathan Gaudreault
    Main track (Constraints and SAT)
  • NLocalSAT: Boosting Local Search with Solution Prediction
    Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang
    Main track (Constraints and SAT)
  • On Irrelevant Literals in Pseudo-Boolean Constraint Learning
    Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon
    Main track (Constraints and SAT)
  • Subgraph Isomorphism Meets Cutting Planes: Solving With Certified Solutions
    Stephan Gocht, Ciaran McCreesh, Jakob Nordström
    Main track (Constraints and SAT)

    • Main track (Data Mining)

  • A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
    Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
    Main track (Data Mining)
  • A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
    Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
    Main track (Data Mining)
  • BANANA: when Behavior ANAlysis meets social Network Alignment
    Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo
    Main track (Data Mining)
  • Bilinear Graph Neural Network with Neighbor Interactions
    Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang
    Main track (Data Mining)
  • Cause-Effect Association between Event Pairs in Event Datasets
    Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian
    Main track (Data Mining)
  • Discrete Embedding for Latent Networks
    Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
    Main track (Data Mining)
  • Domain Adaptive Classification on Heterogeneous Information Networks
    Shuwen Yang, Guojie Song, Yilun Jin, Lun Du
    Main track (Data Mining)
  • Enhancing Urban Flow Maps via Neural ODEs
    Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang
    Main track (Data Mining)
  • Entity Synonym Discovery via Multipiece Bilateral Context Matching
    Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
    Main track (Data Mining)
  • Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification
    Lianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, Ambreen Nazir
    Main track (Data Mining)
  • GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
    Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
    Main track (Data Mining)
  • Graph Neural Architecture Search
    Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
    Main track (Data Mining)
  • GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
    Yu Chen, Lingfei Wu, Mohammed J. Zaki
    Main track (Data Mining)
  • GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
    Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao
    Main track (Data Mining)
  • Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
    Shuo Zhang, Lei Xie
    Main track (Data Mining)
  • Inductive Anomaly Detection on Attributed Networks
    Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu
    Main track (Data Mining)
  • Inductive Link Prediction for Nodes Having Only Attribute Information
    Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang
    Main track (Data Mining)
  • JANE: Jointly Adversarial Network Embedding
    Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
    Main track (Data Mining)
  • Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
    Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei
    Main track (Data Mining)
  • Motif-Preserving Temporal Network Embedding
    Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin
    Main track (Data Mining)
  • MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
    Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng
    Main track (Data Mining)
  • Multi-Channel Graph Neural Networks
    Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
    Main track (Data Mining)
  • Network Schema Preserving Heterogeneous Information Network Embedding
    Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
    Main track (Data Mining)
  • On the Enumeration of Association Rules: A Decomposition-based Approach
    Yacine Izza, Said Jabbour, Badran Raddaoui, Abdelahmid Boudane
    Main track (Data Mining)
  • Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
    Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao
    Main track (Data Mining)
  • Opinion Maximization in Social Trust Networks
    Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
    Main track (Data Mining)
  • Optimal Region Search with Submodular Maximization
    Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao
    Main track (Data Mining)
  • Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
    Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
    Main track (Data Mining)
  • Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
    Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen
    Main track (Data Mining)
  • Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning
    Ximing Li, Yang Wang
    Main track (Data Mining)
  • Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
    Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng
    Main track (Data Mining)
  • Rumor Detection on Social Media with Graph Structured Adversarial Learning
    Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang
    Main track (Data Mining)
  • Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms
    Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen
    Main track (Data Mining)
  • Speeding up Very Fast Decision Tree with Low Computational Cost
    Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao
    Main track (Data Mining)
  • Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model
    Avirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel
    Main track (Data Mining)
  • When Do GNNs Work: Understanding and Improving Neighborhood Aggregation
    Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han
    Main track (Data Mining)

    • Main track (Heuristic Search and Game Playing)

  • Exploration Based Language Learning for Text-Based Games
    Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gokhan Tur
    Main track (Heuristic Search and Game Playing)
  • Intelligent Virtual Machine Provisioning in Cloud Computing
    Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin
    Main track (Heuristic Search and Game Playing)
  • NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set
    Bohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum
    Main track (Heuristic Search and Game Playing)
  • Self-Guided Evolution Strategies with Historical Estimated Gradients
    Fei-Yu Liu, Zi-Niu Li, Chao Qian
    Main track (Heuristic Search and Game Playing)
  • Two-goal Local Search and Inference Rules for Minimum Dominating Set
    Shaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin
    Main track (Heuristic Search and Game Playing)
  • Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem
    Curtis Bright, Kevin K.H. Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh
    Main track (Heuristic Search and Game Playing)
  • Vertex Weighting-Based Tabu Search for p-Center Problem
    Qingyun Zhang, Zhipeng Lü, Zhouxing Su, Chumin Li, Yuan Fang, Fuda Ma
    Main track (Heuristic Search and Game Playing)

    • Main track (Humans and AI)

  • Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder
    Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu
    Main track (Humans and AI)
  • Improving Knowledge Tracing via Pre-training Question Embeddings
    Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu
    Main track (Humans and AI)
  • Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction
    Chen Rozenshtein, David Sarne
    Main track (Humans and AI)
  • Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data
    Zhijie Fang, Weiqun Wang, Shixin Ren, Jiaxing Wang, Weiguo Shi, Xu Liang, Chen-Chen Fan, Zeng-Guang Hou
    Main track (Humans and AI)
  • Learning to complement humans
    Bryan Wilder, Eric Horvitz, Ece Kamar
    Main track (Humans and AI)
  • LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition
    Xiang Cheng, Yunzhe Hao, Jiaming Xu, Bo Xu
    Main track (Humans and AI)
  • Optimal Complex Task Assignment in Service Crowdsourcing
    Feilong Tang
    Main track (Humans and AI)
  • Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization
    Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima
    Main track (Humans and AI)
  • Structured Probabilistic End-to-End Learning from Crowds
    Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang
    Main track (Humans and AI)

    • Main track (Knowledge Representation and Reasoning)

  • A Dataset Complexity Measure for Analogical Transfer
    Fadi Badra
    Main track (Knowledge Representation and Reasoning)
  • A Framework for Reasoning about Dynamic Axioms in Description Logics
    Bartosz Bednarczyk, Stephane Demri, Alessio Mansutti
    Main track (Knowledge Representation and Reasoning)
  • A Fully Rational Account of Structured Argumentation Under Resource Bounds
    Marcello D'Agostino, Sanjay Modgil
    Main track (Knowledge Representation and Reasoning)
  • A Journey into Ontology Approximation: From Non-Horn to Horn
    Anneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter
    Main track (Knowledge Representation and Reasoning)
  • A Logic of Directions
    Heshan Du, Natasha Alechina, Anthony G. Cohn
    Main track (Knowledge Representation and Reasoning)
  • A Modal Logic for Joint Abilities under Strategy Commitments
    Zhaoshuai Liu, Liping Xiong, Yongmei Liu, Yves Lespérance, Ronghai Xu, Hongyi Shi
    Main track (Knowledge Representation and Reasoning)
  • Adversarial Oracular Seq2seq Learning for Sequential Recommendation
    Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian
    Main track (Knowledge Representation and Reasoning)
  • All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDs
    Bartosz Bednarczyk, Robert Ferens, Piotr Ostropolski-Nalewaja
    Main track (Knowledge Representation and Reasoning)
  • Answering Counting Queries over DL-Lite Ontologies
    Meghyn Bienvenu, Quentin Manière, Michaël Thomazo
    Main track (Knowledge Representation and Reasoning)
  • Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers
    Kaisheng Wu, Liangda Fang, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, Fei Rong
    Main track (Knowledge Representation and Reasoning)
  • Belief Merging Operators as Maximum Likelihood Estimators
    Patricia Everaere, Sebastien Konieczny, Pierre Marquis
    Main track (Knowledge Representation and Reasoning)
  • Boolean Games: Inferring Agents' Goals Using Taxation Queries
    Abhijin Adiga, Sarit Kraus, Oleg Maksimov, S. S. Ravi
    Main track (Knowledge Representation and Reasoning)
  • Concurrent Games in Dynamic Epistemic Logic
    Bastien Maubert, Sophie Pinchinat, Francois Schwarzentruber, Silvia Stranieri
    Main track (Knowledge Representation and Reasoning)
  • Cone Semantics for Logics with Negation
    Özgür Lütfü Özçep, Mena Leemhuis, Diedrich Wolter
    Main track (Knowledge Representation and Reasoning)
  • Controllability of Control Argumentation Frameworks
    Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo
    Main track (Knowledge Representation and Reasoning)
  • Controlled Query Evaluation in Description Logics Through Instance Indistinguishability
    Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo
    Main track (Knowledge Representation and Reasoning)
  • Counting Query Answers over a DL-Lite KB
    Diego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski
    Main track (Knowledge Representation and Reasoning)
  • Deductive Module Extraction for Expressive Description Logics
    Patrick Koopmann, Jieying Chen
    Main track (Knowledge Representation and Reasoning)
  • Deep Learning for Abstract Argumentation Semantics
    Dennis Craandijk, Floris Bex
    Main track (Knowledge Representation and Reasoning)
  • Diagnosing Software Faults Using Multiverse Analysis
    Prantik Chatterjee, Abhijit Chatterjee, Jose Campos, Rui Abreu, Subhajit Roy
    Main track (Knowledge Representation and Reasoning)
  • Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
    Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna
    Main track (Knowledge Representation and Reasoning)
  • Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic
    Lasse Dissing, Thomas Bolander
    Main track (Knowledge Representation and Reasoning)
  • Inconsistency Measurement for Improving Logical Formula Clustering
    Yakoub Salhi
    Main track (Knowledge Representation and Reasoning)
  • Lower Bounds and Faster Algorithms for Equality Constraints
    Peter Jonsson, Victor Lagerkvist
    Main track (Knowledge Representation and Reasoning)
  • Lower Bounds for Approximate Knowledge Compilation
    Alexis de Colnet, Stefan Mengel
    Main track (Knowledge Representation and Reasoning)
  • Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks
    Robert Bredereck, Lilian Jacobs, Leon Kellerhals
    Main track (Knowledge Representation and Reasoning)
  • Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems
    Stéphanie Roussel, Xavier Pucel, Valentin Bouziat, Louise Travé-Massuyès
    Main track (Knowledge Representation and Reasoning)
  • Model-theoretic Characterizations of Existential Rule Languages
    Heng Zhang, Yan Zhang, Guifei Jiang
    Main track (Knowledge Representation and Reasoning)
  • Neural Entity Summarization with Joint Encoding and Weak Supervision
    Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen
    Main track (Knowledge Representation and Reasoning)
  • NeurASP: Embracing Neural Networks into Answer Set Programming
    Zhun Yang, Adam Ishay, Joohyung Lee
    Main track (Knowledge Representation and Reasoning)
  • On Computational Aspects of Iterated Belief Change
    Nicolas Schwind, Sebastien Konieczny, Jean-Marie Lagniez, Pierre Marquis
    Main track (Knowledge Representation and Reasoning)
  • On Robustness in Qualitative Constraint Networks
    Michael Sioutis, Zhiguo Long, Tomi Janhunen
    Main track (Knowledge Representation and Reasoning)
  • On the Decidability of Intuitionistic Tense Logic without Disjunction
    Fei Liang, Zhe Lin
    Main track (Knowledge Representation and Reasoning)
  • On the Learnability of Possibilistic Theories
    Cosimo Persia, Ana Ozaki
    Main track (Knowledge Representation and Reasoning)
  • Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become Propagators
    Bernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter Schüller
    Main track (Knowledge Representation and Reasoning)
  • Pitfalls of Learning a Reward Function Online
    Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg
    Main track (Knowledge Representation and Reasoning)
  • Provenance for the Description Logic ELHr
    Camille Bourgaux, Ana Ozaki, Rafael Penaloza, Livia Predoiu
    Main track (Knowledge Representation and Reasoning)
  • Query Answering for Existential Rules via Efficient Datalog Rewriting
    Zhe Wang, Peng Xiao, Kewen Wang, Zhiqiang Zhuang, Hai Wan
    Main track (Knowledge Representation and Reasoning)
  • Ranking Semantics for Argumentation Systems With Necessities
    Dragan Doder, Srdjan Vesic, Madalina Croitoru
    Main track (Knowledge Representation and Reasoning)
  • Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
    Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari
    Main track (Knowledge Representation and Reasoning)
  • Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks
    Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
    Main track (Knowledge Representation and Reasoning)
  • Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules
    David Carral, Markus Krötzsch
    Main track (Knowledge Representation and Reasoning)
  • Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems
    Hubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler
    Main track (Knowledge Representation and Reasoning)
  • Smart Voting
    Rachael Colley, Umberto Grandi, Arianna Novaro
    Main track (Knowledge Representation and Reasoning)
  • Solving Analogies on Words based on Minimal Complexity Transformation
    Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols
    Main track (Knowledge Representation and Reasoning)
  • Switch-List Representations in a Knowledge Compilation Map
    Ondřej Čepek, Miloš Chromý
    Main track (Knowledge Representation and Reasoning)
  • Synthesizing strategies under expected and exceptional environment behaviors
    Benjamin Aminof, Giuseppe De Giacomo, Alessio Lomuscio, Aniello Murano, Sasha Rubin
    Main track (Knowledge Representation and Reasoning)
  • The Complexity Landscape of Resource-Constrained Scheduling
    Robert Ganian, Thekla Hamm, Guillaume Mescoff
    Main track (Knowledge Representation and Reasoning)
  • Threshold Treewidth and Hypertree Width
    Robert Ganian, Andre Schidler, Manuel Sorge, Stefan Szeider
    Main track (Knowledge Representation and Reasoning)
  • Tractable Fragments of Datalog with Metric Temporal Operators
    Przemysław A. Wałęga, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev
    Main track (Knowledge Representation and Reasoning)

    • Main track (Machine Learning)

  • A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery
    Yijing Luo, Bo Han, Chen Gong
    Main track (Machine Learning)
  • A Dual Input-aware Factorization Machine for CTR Prediction
    Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan
    Main track (Machine Learning)
  • A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation
    Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
    Main track (Machine Learning)
  • A new attention mechanism to classify multivariate time series
    Yifan Hao, Huiping Cao
    Main track (Machine Learning)
  • Accelerating Stratified Sampling SGD by Reconstructing Strata
    Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
    Main track (Machine Learning)
  • AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
    Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
    Main track (Machine Learning)
  • Adaptively Multi-Objective Adversarial Training for Dialogue Generation
    Xuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan
    Main track (Machine Learning)
  • An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles
    Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
    Main track (Machine Learning)
  • Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
    Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang
    Main track (Machine Learning)
  • Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning
    Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He
    Main track (Machine Learning)
  • Argot: Generating Adversarial Readable Chinese Texts
    Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun
    Main track (Machine Learning)
  • Asymmetric Distribution Measure for Few-shot Learning
    Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
    Main track (Machine Learning)
  • BaKer-Nets: Bayesian Random Kernel Mapping Networks
    Hui Xue, Zheng-Fan Wu
    Main track (Machine Learning)
  • Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning
    Ishan Durugkar, Elad Liebman, Peter Stone
    Main track (Machine Learning)
  • Batch Decorrelation for Active Metric Learning
    Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri
    Main track (Machine Learning)
  • Bayesian Decision Process for Budget-efficient Crowdsourced Clustering
    Xiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu
    Main track (Machine Learning)
  • Bayesian Optimization using Pseudo-Points
    Chao Qian, Hang Xiong, Ke Xue
    Main track (Machine Learning)
  • BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment
    Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li
    Main track (Machine Learning)
  • Best Arm Identification in Spectral Bandits
    Tomáš Kocák, Aurélien Garivier
    Main track (Machine Learning)
  • Beyond Network Pruning: a Joint Search-and-Training Approach
    Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi
    Main track (Machine Learning)
  • BRPO: Batch Residual Policy Optimization
    Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed Chi, Craig Boutilier
    Main track (Machine Learning)
  • Can Cross Entropy Loss Be Robust to Label Noise?
    Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
    Main track (Machine Learning)
  • CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
    Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie
    Main track (Machine Learning)
  • Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
    Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
    Main track (Machine Learning)
  • Class Prior Estimation in Active Positive and Unlabeled Learning
    Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
    Main track (Machine Learning)
  • Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax
    Xin Wang, Siu Ming Yiu
    Main track (Machine Learning)
  • Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
    Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu
    Main track (Machine Learning)
  • Collaboration Based Multi-Label Propagation for Fraud Detection
    Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen
    Main track (Machine Learning)
  • Collaborative Self-Attention Network for Session-based Recommendation
    Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
    Main track (Machine Learning)
  • Coloring Graph Neural Networks for Node Disambiguation
    George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
    Main track (Machine Learning)
  • Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints
    Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li
    Main track (Machine Learning)
  • Communicative Representation Learning on Attributed Molecular Graphs
    Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-hua Fu, Yutong Lu, Yuedong Yang
    Main track (Machine Learning)
  • Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning
    Céline Hocquette, Stephen H. Muggleton
    Main track (Machine Learning)
  • Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation
    Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du
    Main track (Machine Learning)
  • Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge
    Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao
    Main track (Machine Learning)
  • Constrained Policy Improvement for Efficient Reinforcement Learning
    Elad Sarafian, Aviv Tamar, Sarit Kraus
    Main track (Machine Learning)
  • Contextualized Point-of-Interest Recommendation
    Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
    Main track (Machine Learning)
  • Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
    Sehun Yu, Dongha Lee, Hwanjo Yu
    Main track (Machine Learning)
  • Crowdsourcing with Multiple-Source Knowledge Transfer
    Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
    Main track (Machine Learning)
  • DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization
    Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura
    Main track (Machine Learning)
  • Decorrelated Clustering with Data Selection Bias
    Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
    Main track (Machine Learning)
  • Deep Feedback Network for Recommendation
    Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
    Main track (Machine Learning)
  • Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery
    Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu
    Main track (Machine Learning)
  • DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction
    Alexander Schulz, Fabian Hinder, Barbara Hammer
    Main track (Machine Learning)
  • Diffusion Variational Autoencoders
    Luis A. Perez Rey, Vlado Menkovski, Jim Portegies
    Main track (Machine Learning)
  • Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks
    Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
    Main track (Machine Learning)
  • Discovering Latent Class Labels for Multi-Label Learning
    Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi
    Main track (Machine Learning)
  • Discovering Subsequence Patterns for Next POI Recommendation
    Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing
    Main track (Machine Learning)
  • Discriminative Feature Selection via A Structured Sparse Subspace Learning Module
    Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
    Main track (Machine Learning)
  • Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models
    Frank Nussbaum, Joachim Giesen
    Main track (Machine Learning)
  • DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
    Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
    Main track (Machine Learning)
  • Dual Policy Distillation
    Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
    Main track (Machine Learning)
  • Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
    Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang
    Main track (Machine Learning)
  • Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
    Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
    Main track (Machine Learning)
  • Embodied Multimodal Multitask Learning
    Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra
    Main track (Machine Learning)
  • EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services
    Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy
    Main track (Machine Learning)
  • Evaluating and Aggregating Feature-based Model Explanations
    Umang Bhatt, Adrian Weller, José M. F. Moura
    Main track (Machine Learning)
  • Explainable Inference on Sequential Data via Memory-Tracking
    Biagio La Rosa, Roberto Capobianco, Daniele Nardi
    Main track (Machine Learning)
  • Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
    Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
    Main track (Machine Learning)
  • Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
    Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu
    Main track (Machine Learning)
  • Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
    Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, Jie Shao
    Main track (Machine Learning)
  • Fairness-Aware Neural Rényi Minimization for Continuous Features
    Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
    Main track (Machine Learning)
  • Feature Statistics Guided Efficient Filter Pruning
    Hang Li, Chen Ma, Wei Xu, Xue Liu
    Main track (Machine Learning)
  • Flow-based Intrinsic Curiosity Module
    Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee
    Main track (Machine Learning)
  • FNNC: Achieving Fairness through Neural Networks
    Manisha Padala, Sujit Gujar
    Main track (Machine Learning)
  • Fully Nested Neural Network for Adaptive Compression and Quantization
    Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-wei Kuo, Chun Jason Xue
    Main track (Machine Learning)
  • General Purpose MRF Learning with Neural Network Potentials
    Hao Xiong, Nicholas Ruozzi
    Main track (Machine Learning)
  • Generalized Mean Estimation in Monte-Carlo Tree Search
    Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
    Main track (Machine Learning)
  • Generating Robust Audio Adversarial Examples with Temporal Dependency
    Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu
    Main track (Machine Learning)
  • Gradient Perturbation is Underrated for Differentially Private Convex Optimization
    Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
    Main track (Machine Learning)
  • Greedy Convex Ensemble
    Thanh Tan Nguyen, Nan Ye, Peter Bartlett
    Main track (Machine Learning)
  • Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
    Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau
    Main track (Machine Learning)
  • Human-Driven FOL Explanations of Deep Learning
    Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci
    Main track (Machine Learning)
  • Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations
    Peixi Peng, Junliang Xing, Lili Cao
    Main track (Machine Learning)
  • Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space
    Xiao Zhang, Shizhong Liao
    Main track (Machine Learning)
  • I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
    Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich
    Main track (Machine Learning)
  • I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
    Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang
    Main track (Machine Learning)
  • Independent Skill Transfer for Deep Reinforcement Learning
    Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang
    Main track (Machine Learning)
  • Inference-Masked Loss for Deep Structured Output Learning
    Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi
    Main track (Machine Learning)
  • Intent Preference Decoupling for User Representation on Online Recommender System
    Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen
    Main track (Machine Learning)
  • Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning
    Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao
    Main track (Machine Learning)
  • Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
    Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin
    Main track (Machine Learning)
  • Interpretable Models for Understanding Immersive Simulations
    Nicholas Hoernle, Kobi Gal, Barbara Grosz, Leilah Lyons, Ada Ren, Andee Rubin
    Main track (Machine Learning)
  • IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
    Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
    Main track (Machine Learning)
  • Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?
    Lifu Wang, Bo Shen, Ning Zhao, Zhiyuan Zhang
    Main track (Machine Learning)
  • Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification
    Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han
    Main track (Machine Learning)
  • Joint Partial Optimal Transport for Open Set Domain Adaptation
    Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin
    Main track (Machine Learning)
  • KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
    Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng
    Main track (Machine Learning)
  • Knowledge Hypergraphs: Prediction Beyond Binary Relations
    Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole
    Main track (Machine Learning)
  • Knowledge-Based Regularization in Generative Modeling
    Naoya Takeishi, Yoshinobu Kawahara
    Main track (Machine Learning)
  • KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
    Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
    Main track (Machine Learning)
  • Label Distribution for Learning with Noisy Labels
    Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng
    Main track (Machine Learning)
  • Label Enhancement for Label Distribution Learning via Prior Knowledge
    Yongbiao Gao, Yu Zhang, Xin Geng
    Main track (Machine Learning)
  • Learning and Solving Regular Decision Processes
    Eden Abadi, Ronen I. Brafman
    Main track (Machine Learning)
  • Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data
    Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
    Main track (Machine Learning)
  • Learning From Multi-Dimensional Partial Labels
    Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen
    Main track (Machine Learning)
  • Learning in the Wild with Incremental Skeptical Gaussian Processes
    Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
    Main track (Machine Learning)
  • Learning Interpretable Models in the Property Specification Language
    Rajarshi Roy, Dana Fisman, Daniel Neider
    Main track (Machine Learning)
  • Learning Interpretable Representations with Informative Entanglements
    Ege Beyazıt, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu
    Main track (Machine Learning)
  • Learning Large Logic Programs By Going Beyond Entailment
    Andrew Cropper, Sebastijan Dumančic
    Main track (Machine Learning)
  • Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
    Masataro Asai, Christian Muise
    Main track (Machine Learning)
  • Learning Personalized Itemset Mapping for Cross-Domain Recommendation
    Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
    Main track (Machine Learning)
  • Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data
    Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
    Main track (Machine Learning)
  • Learning With Subquadratic Regularization : A Primal-Dual Approach
    Raman Sankaran, Francis Bach, Chiranjib Bhattacharyya
    Main track (Machine Learning)
  • Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!
    Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, Philippe Cudre-Mauroux
    Main track (Machine Learning)
  • Logic Constrained Pointer Networks for Interpretable Textual Similarity
    Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal
    Main track (Machine Learning)
  • LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks
    Rongzhou Huang, Chuyin Huang, Yubao Liu, Genan Dai, Weiyang Kong
    Main track (Machine Learning)
  • MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification
    Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua
    Main track (Machine Learning)
  • Marthe: Scheduling the Learning Rate Via Online Hypergradients
    Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi
    Main track (Machine Learning)
  • Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
    Shujian Yu, Ammar Shaker, Francesco Alesiani, Jose Principe
    Main track (Machine Learning)
  • Memory Augmented Neural Model for Incremental Session-based Recommendation
    Fei Mi, Boi Faltings
    Main track (Machine Learning)
  • MergeNAS: Merge Operations into One for Differentiable Architecture Search
    Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun
    Main track (Machine Learning)
  • Metric Learning in Optimal Transport for Domain Adaptation
    Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
    Main track (Machine Learning)
  • Mixed-Variable Bayesian Optimization
    Erik Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
    Main track (Machine Learning)
  • Multi-Class Imbalanced Graph Convolutional Network Learning
    Min Shi, Yufei Tang, Xingquan Zhu, David Wilson, Jianxun Liu
    Main track (Machine Learning)
  • Multi-Feedback Bandit Learning with Probabilistic Contexts
    Luting Yang, Jianyi Yang, Shaolei Ren
    Main track (Machine Learning)
  • Multi-label Feature Selection via Global Relevance and Redundancy Optimization
    Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan
    Main track (Machine Learning)
  • Multi-Scale Group Transformer for Long Sequence Modeling in Speech Separation
    Yucheng Zhao, Chong Luo, Zheng-Jun Zha, Wenjun Zeng
    Main track (Machine Learning)
  • Multi-View Attribute Graph Convolution Networks for Clustering
    Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, Deyan Xie, Quanxue Gao
    Main track (Machine Learning)
  • MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
    Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya
    Main track (Machine Learning)
  • Multivariate Probability Calibration with Isotonic Bernstein Polynomials
    Yongqiao Wang, Xudong Liu
    Main track (Machine Learning)
  • Mutual Information Estimation using LSH Sampling
    Ryan Spring, Anshumali Shrivastava
    Main track (Machine Learning)
  • Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
    Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang
    Main track (Machine Learning)
  • Neighbor Combinatorial Attention for Critical Structure Mining
    Tanli Zuo, Yukun Qiu, Wei-Shi Zheng
    Main track (Machine Learning)
  • Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals
    Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag
    Main track (Machine Learning)
  • Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems
    Huiyuan Chen, Jing Li
    Main track (Machine Learning)
  • Non-monotone DR-submodular Maximization over General Convex Sets
    Christoph Dürr, Nguyen Kim Thang, Abhinav Srivastav, Léo Tible
    Main track (Machine Learning)
  • On Deep Unsupervised Active Learning
    Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, Guoren Wang
    Main track (Machine Learning)
  • On Metric DBSCAN with Low Doubling Dimension
    Hu Ding, Fan Yang, Mingyue Wang
    Main track (Machine Learning)
  • One-Shot Neural Architecture Search via Novelty Driven Sampling
    Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven Su
    Main track (Machine Learning)
  • Online Positive and Unlabeled Learning
    Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang
    Main track (Machine Learning)
  • Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
    Yannis Flet-Berliac, Philippe Preux
    Main track (Machine Learning)
  • Optimal Margin Distribution Machine for Multi-Instance Learning
    Teng Zhang, Hai Jin
    Main track (Machine Learning)
  • Optimality, Accuracy, and Efficiency of an Exact Functional Test
    Hien H. Nguyen, Hua Zhong, Mingzhou Song
    Main track (Machine Learning)
  • Order-Dependent Event Models for Agent Interactions
    Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
    Main track (Machine Learning)
  • P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
    Zhiwei Zhang, Shifeng Chen, Lei Sun
    Main track (Machine Learning)
  • Partial Multi-Label Learning via Multi-Subspace Representation
    Ziwei Li, Gengyu Lyu, Songhe Feng
    Main track (Machine Learning)
  • pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization
    Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire Tomlin, Ye Yuan
    Main track (Machine Learning)
  • Positive Unlabeled Learning with Class-prior Approximation
    Shizhen Chang, Bo Du, Liangpei Zhang
    Main track (Machine Learning)
  • Potential Driven Reinforcement Learning for Hard Exploration Tasks
    Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing
    Main track (Machine Learning)
  • Privileged label enhancement with multi-label learning
    Wenfang Zhu, Xiuyi Jia, Weiwei Li
    Main track (Machine Learning)
  • Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
    Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang
    Main track (Machine Learning)
  • Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation
    Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh
    Main track (Machine Learning)
  • RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
    Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu
    Main track (Machine Learning)
  • Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling
    Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
    Main track (Machine Learning)
  • Reducing Underflow in Mixed Precision Training by Gradient Scaling
    Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk
    Main track (Machine Learning)
  • Reinforcement Learning Framework for Deep Brain Stimulation Study
    Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
    Main track (Machine Learning)
  • Reinforcement Learning with Dynamic Boltzmann Softmax Updates
    Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
    Main track (Machine Learning)
  • Reward Prediction Error as an Exploration Objective in Deep RL
    Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, Sebastian Seung, Daniel Lee
    Main track (Machine Learning)
  • Scalable Gaussian Process Regression Networks
    Shibo Li, Wei Xing, Robert M. Kirby, Shandian Zhe
    Main track (Machine Learning)
  • Self-adaptive Re-weighted Adversarial Domain Adaptation
    Shanshan Wang, Lei Zhang
    Main track (Machine Learning)
  • Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
    Johan Ferret, Raphael Marinier, Matthieu Geist, Olivier Pietquin
    Main track (Machine Learning)
  • Self-paced Consensus Clustering with Bipartite Graph
    Peng Zhou, Liang Du, Xuejun Li
    Main track (Machine Learning)
  • Semi-supervised Clustering via Pairwise Constrained Optimal Graph
    Feiping Nie, Han Zhang, Rong Wang, Xuelong Li
    Main track (Machine Learning)
  • Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
    Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon
    Main track (Machine Learning)
  • SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search
    Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
    Main track (Machine Learning)
  • Sinkhorn Regression
    Lei Luo, Jian Pei, Heng Huang
    Main track (Machine Learning)
  • Smart Contract Vulnerability Detection using Graph Neural Network
    Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He
    Main track (Machine Learning)
  • Soft Threshold Ternary Networks
    Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
    Main track (Machine Learning)
  • Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning
    Dieqiao Feng, Carla Gomes, Bart Selman
    Main track (Machine Learning)
  • Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error
    Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura
    Main track (Machine Learning)
  • Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution
    Qiulin Zhang, Zhuqing Jiang, Qishuo Lu, Jia'nan Han, Zhengxin Zeng, Shanghua Gao, Aidong Men
    Main track (Machine Learning)
  • Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective
    Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo
    Main track (Machine Learning)
  • Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
    Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang
    Main track (Machine Learning)
  • SVRG for Policy Evaluation with Fewer Gradient Evaluations
    Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup
    Main track (Machine Learning)
  • Switching Poisson Gamma Dynamical Systems
    Wenchao Chen, Bo Chen, Yicheng Liu, Qianru Zhao, Mingyuan Zhou
    Main track (Machine Learning)
  • Synthesizing Aspect-Driven Recommendation Explanations from Reviews
    Trung-Hoang Le, Hady W. Lauw
    Main track (Machine Learning)
  • Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
    Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren
    Main track (Machine Learning)
  • Tensor-based multi-view label enhancement for multi-label learning
    Fangwen Zhang, Xiuyi Jia, Weiwei Li
    Main track (Machine Learning)
  • Textual Membership Queries
    Jonathan Zarecki, Shaul Markovitch
    Main track (Machine Learning)
  • The Importance of the Test Set Size in Quantification Assessment
    André Maletzke, Waqar Hassan, Denis dos Reis, Gustavo Batista
    Main track (Machine Learning)
  • The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering
    Sayak Dey, Swagatam Das, Rammohan Mallipeddi
    Main track (Machine Learning)
  • Tight Convergence Rate of Gradient Descent for Eigenvalue Computation
    Qinghua Ding, Kaiwen Zhou, James Cheng
    Main track (Machine Learning)
  • Toward a neuro-inspired creative decoder
    Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah
    Main track (Machine Learning)
  • Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
    Zhen Wang, Chao Lan
    Main track (Machine Learning)
  • Towards Accurate and Robust Domain Adaptation under Noisy Environments
    Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin
    Main track (Machine Learning)
  • Towards Explainable Conversational Recommendation
    Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
    Main track (Machine Learning)
  • Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching
    Hanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang
    Main track (Machine Learning)
  • TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure
    Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li
    Main track (Machine Learning)
  • Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
    Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
    Main track (Machine Learning)
  • Understanding the Power and Limitations of Teaching with Imperfect Knowledge
    Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
    Main track (Machine Learning)
  • Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation
    Danbing Zou, Qikui Zhu, Pingkun Yan
    Main track (Machine Learning)
  • Unsupervised Monocular Visual-inertial Odometry Network
    Peng Wei, Guoliang Hua, Weibo Huang, Fanyang Meng, Hong Liu
    Main track (Machine Learning)
  • Unsupervised Representation Learning by Predicting Random Distances
    Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma
    Main track (Machine Learning)
  • User Modeling with Click Preference and Reading Satisfaction for News Recommendation
    Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
    Main track (Machine Learning)
  • Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge
    Gehui Shen, Xi Chen, Zhihong Deng
    Main track (Machine Learning)
  • Weakly-Supervised Multi-view Multi-instance Multi-label Learning
    Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
    Main track (Machine Learning)

    • Main track (Machine Learning Applications)

  • A Label Attention Model for ICD Coding from Clinical Text
    Thanh Vu, Dat Quoc Nguyen, Anthony Nguyen
    Main track (Machine Learning Applications)
  • Adversarial Mutual Information Learning for Network Embedding
    Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
    Main track (Machine Learning Applications)
  • Binary Classification from Positive Data with Skewed Confidence
    Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama
    Main track (Machine Learning Applications)
  • C3MM: Clique-Closure based Hyperlink Prediction
    Govind Sharma, Prasanna Patil, M. Narasimha Murty
    Main track (Machine Learning Applications)
  • CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
    Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang
    Main track (Machine Learning Applications)
  • DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling
    Penghao Sun, Zehua Guo, Junchao Wang, Junfei Li, Julong Lan, Yuxiang Hu
    Main track (Machine Learning Applications)
  • Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning
    Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu
    Main track (Machine Learning Applications)
  • HID: Hierarchical Multiscale Representation Learning for Information Diffusion
    Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia
    Main track (Machine Learning Applications)
  • Inferring Degrees from Incomplete Networks and Nonlinear Dynamics
    Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail
    Main track (Machine Learning Applications)
  • Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
    Yudong Luo, Oliver Schulte, Pascal Poupart
    Main track (Machine Learning Applications)
  • Predicting Landslides Using Locally Aligned Convolutional Neural Networks
    Ainaz Hajimoradlou, Gioachino Roberti, David Poole
    Main track (Machine Learning Applications)
  • Semi-Markov Reinforcement Learning for Stochastic Resource Collection
    Sebastian Schmoll, Matthias Schubert
    Main track (Machine Learning Applications)

    • Main track (Multidisciplinary Topics and Applications)

  • A Game Theoretic Approach For Core Resilience
    Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj Singh
    Main track (Multidisciplinary Topics and Applications)
  • A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem
    Zhouxing Su, Shihao Huang, Chungen Li, Zhipeng Lü
    Main track (Multidisciplinary Topics and Applications)
  • An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
    Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan
    Main track (Multidisciplinary Topics and Applications)
  • An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins
    Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner
    Main track (Multidisciplinary Topics and Applications)
  • Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding
    Ke Wang, Xuyan Chen, Ning Chen, Ting Chen
    Main track (Multidisciplinary Topics and Applications)
  • Auxiliary Template-Enhanced Generative Compatibility Modeling
    Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma
    Main track (Multidisciplinary Topics and Applications)
  • BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval
    Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma
    Main track (Multidisciplinary Topics and Applications)
  • Community-Centric Graph Convolutional Network for Unsupervised Community Detection
    Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang
    Main track (Multidisciplinary Topics and Applications)
  • CooBa: Cross-project Bug Localization via Adversarial Transfer Learning
    Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang
    Main track (Multidisciplinary Topics and Applications)
  • Differential Privacy for Stackelberg Games
    Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck
    Main track (Multidisciplinary Topics and Applications)
  • Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
    Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
    Main track (Multidisciplinary Topics and Applications)
  • Exploiting Mutual Information for Substructure-aware Graph Representation Learning
    Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien Hua
    Main track (Multidisciplinary Topics and Applications)
  • FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
    Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu
    Main track (Multidisciplinary Topics and Applications)
  • HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network
    Rui Liu, Huilin Peng, Yong Chen, Dell Zhang
    Main track (Multidisciplinary Topics and Applications)
  • Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network
    Huiyuan Chen, Jing Li
    Main track (Multidisciplinary Topics and Applications)
  • Learning Model with Error -- exposing the hidden model of BAYHENN
    Harry W. H. Wong, Jack P. K. Ma, Donald P. H. Wong, Lucien K. L. Ng, Sherman S. M. Chow
    Main track (Multidisciplinary Topics and Applications)
  • Learning the Compositional Visual Coherence for Complementary Recommendations
    Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei
    Main track (Multidisciplinary Topics and Applications)
  • Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
    Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
    Main track (Multidisciplinary Topics and Applications)
  • MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing
    Rong-Cheng Tu, Xian-Ling Mao, Wei Wei
    Main track (Multidisciplinary Topics and Applications)
  • Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles
    Andrea Piazzoni, Jim Cherian, Martin Slavik, Justin Dauwels
    Main track (Multidisciplinary Topics and Applications)
  • Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems
    Seyed Iman Mirzadeh, Hassan Ghasemzadeh
    Main track (Multidisciplinary Topics and Applications)
  • Pivot-based Maximal Biclique Enumeration
    Aman Abidi, Rui Zhou, Lu Chen, Chengfei Liu
    Main track (Multidisciplinary Topics and Applications)
  • The Graph-based Mutual Attentive Network for Automatic Diagnosis
    Quan Yuan, Jun Chen, Chao Lu, Haifeng Huang
    Main track (Multidisciplinary Topics and Applications)
  • Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips
    Ke Li, Lisi Chen, Shuo Shang
    Main track (Multidisciplinary Topics and Applications)
  • Why We Go Where We Go: Profiling User Decisions on Choosing POIs
    Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong
    Main track (Multidisciplinary Topics and Applications)

    • Main track (Natural Language Processing)

  • A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition
    Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang
    Main track (Natural Language Processing)
  • A Relation-Specific Attention Network for Joint Entity and Relation Extraction
    Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo
    Main track (Natural Language Processing)
  • A Structured Latent Variable Recurrent Network with Stochastic Attention for Generating Weibo Comments
    Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, Qi Tian
    Main track (Natural Language Processing)
  • Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training
    Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren
    Main track (Natural Language Processing)
  • An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension
    Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo
    Main track (Natural Language Processing)
  • Answer Generation through Unified Memories over Multiple Passages
    Makoto Nakatsuji, Sohei Okui
    Main track (Natural Language Processing)
  • Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction
    Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li
    Main track (Natural Language Processing)
  • Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
    Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu
    Main track (Natural Language Processing)
  • Attention-based Multi-level Feature Fusion for Named Entity Recognition
    Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
    Main track (Natural Language Processing)
  • Better AMR-To-Text Generation with Graph Structure Reconstruction
    Tianming Wang, Xiaojun Wan, Shaowei Yao
    Main track (Natural Language Processing)
  • CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP
    Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che
    Main track (Natural Language Processing)
  • Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings
    Yi Yang, Hongan Wang, Jiaqi Zhu, Yunkun Wu, Kailong Jiang, Wenli Guo, Wandong Shi
    Main track (Natural Language Processing)
  • Dialogue State Induction Using Neural Latent Variable Models
    Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang
    Main track (Natural Language Processing)
  • Domain Adaptation for Semantic Parsing
    Zechang Li, Yuxuan Lai, Yansong Feng, Dongyan Zhao
    Main track (Natural Language Processing)
  • Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating
    Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu
    Main track (Natural Language Processing)
  • EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness
    Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang
    Main track (Natural Language Processing)
  • End-to-End Transition-Based Online Dialogue Disentanglement
    Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu
    Main track (Natural Language Processing)
  • Enhancing Dialog Coherence with Event Graph Grounded Content Planning
    Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che
    Main track (Natural Language Processing)
  • ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
    Dongling Xiao, Han Zhang, Yukun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
    Main track (Natural Language Processing)
  • Evaluating Natural Language Generation via Unbalanced Optimal Transport
    Yimeng Chen, Yanyan Lan, Ruinbin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng
    Main track (Natural Language Processing)
  • Exemplar Guided Neural Dialogue Generation
    Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin
    Main track (Natural Language Processing)
  • Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation
    Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen
    Main track (Natural Language Processing)
  • Fast and Accurate Neural CRF Constituency Parsing
    Yu Zhang, Houquan Zhou, Zhenghua Li
    Main track (Natural Language Processing)
  • Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
    Yongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi
    Main track (Natural Language Processing)
  • Gated POS-Level Language Model for Authorship Verification
    Linshu Ouyang, Yongzheng Zhang, Hui Liu, Yige Chen, Yipeng Wang
    Main track (Natural Language Processing)
  • Gaussian Embedding of Linked Documents from a Pretrained Semantic Space
    Antoine Gourru, Julien Velcin, Julien Jacques
    Main track (Natural Language Processing)
  • Generalized Zero-Shot Text Classification for ICD Coding
    Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric Xing
    Main track (Natural Language Processing)
  • Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering
    Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao
    Main track (Natural Language Processing)
  • Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment
    Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang
    Main track (Natural Language Processing)
  • Guided Generation of Cause and Effect
    Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme
    Main track (Natural Language Processing)
  • Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces
    Rana Alshaikh, Zied Bouraoui, Steven Schockaert
    Main track (Natural Language Processing)
  • Hierarchical Matching Network for Heterogeneous Entity Resolution
    Cheng Fu, Xianpei Han, Jiaming He, Le Sun
    Main track (Natural Language Processing)
  • Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays
    Wei Song, Ziyao Song, Lizhen Liu, Ruiji Fu
    Main track (Natural Language Processing)
  • How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
    Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
    Main track (Natural Language Processing)
  • Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding
    Chengkun Zhang, Junbin Gao
    Main track (Natural Language Processing)
  • Infobox-to-text Generation with Tree-like Planning based Attention Network
    Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng
    Main track (Natural Language Processing)
  • Joint Time-Frequency and Time Domain Learning for Speech Enhancement
    Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Wenxuan Xie, Wenjun Zeng
    Main track (Natural Language Processing)
  • Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations
    Jian Liu, Yubo Chen, Jun Zhao
    Main track (Natural Language Processing)
  • Knowledge Graphs Enhanced Neural Machine Translation
    Yang Zhao, Jiajun Zhang, Yu Zhou, Chengqing Zong
    Main track (Natural Language Processing)
  • Learning Latent Forests for Medical Relation Extraction
    Zhijiang Guo, Guoshun Nan, Wei LU, Shay B. Cohen
    Main track (Natural Language Processing)
  • Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling
    Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang
    Main track (Natural Language Processing)
  • Leveraging Document-Level Label Consistency for Named Entity Recognition
    Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang
    Main track (Natural Language Processing)
  • Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
    Guanhua Chen, Yun Chen, Yong Wang, Victor O.K. Li
    Main track (Natural Language Processing)
  • LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
    Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang
    Main track (Natural Language Processing)
  • Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction
    Shan Zhao, Minghao Hu, Zhiping Cai, Fang Liu
    Main track (Natural Language Processing)
  • Modeling Topical Relevance for Multi-Turn Dialogue Generation
    Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin
    Main track (Natural Language Processing)
  • Modeling Voting for System Combination in Machine Translation
    Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu
    Main track (Natural Language Processing)
  • MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation
    Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli
    Main track (Natural Language Processing)
  • Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
    Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu
    Main track (Natural Language Processing)
  • Neural Abstractive Summarization with Structural Attention
    Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty
    Main track (Natural Language Processing)
  • Neural Machine Translation with Error Correction
    Kaitao Song, Xu Tan, Jianfeng Lu
    Main track (Natural Language Processing)
  • On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
    Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang
    Main track (Natural Language Processing)
  • RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
    Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang
    Main track (Natural Language Processing)
  • Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
    Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu
    Main track (Natural Language Processing)
  • Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation
    Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim
    Main track (Natural Language Processing)
  • Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
    Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
    Main track (Natural Language Processing)
  • Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
    Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun
    Main track (Natural Language Processing)
  • Text Style Transfer via Learning Style Instance Supported Latent Space
    Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun
    Main track (Natural Language Processing)
  • TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact
    Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
    Main track (Natural Language Processing)
  • Towards Fully 8-bit Integer Inference for the Transformer Model
    Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu
    Main track (Natural Language Processing)
  • Towards Making the Most of Context in Neural Machine Translation
    Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch
    Main track (Natural Language Processing)
  • Transformers as Soft Reasoners over Language
    Peter Clark, Oyvind Tafjord, Kyle Richardson
    Main track (Natural Language Processing)
  • TransOMCS: From Linguistic Graphs to Commonsense Knowledge
    Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth
    Main track (Natural Language Processing)
  • Triple-to-Text Generation with an Anchor-to-Prototype Framework
    Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen
    Main track (Natural Language Processing)
  • Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA
    Jiale Han, Bo Cheng, Xu Wang
    Main track (Natural Language Processing)
  • UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
    Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou
    Main track (Natural Language Processing)
  • Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
    Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan
    Main track (Natural Language Processing)
  • Unsupervised Multilingual Alignment using Wasserstein Barycenter
    Xin Lian, Kshitij Jain, Jakub Truszkowski, Pascal Poupart, Yaoliang Yu
    Main track (Natural Language Processing)

    • Main track (Planning and Scheduling)

  • A Unified Model for the Two-stage Offline-then-Online Resource Allocation
    Yifan Xu, Pan Xu, Jianping Pan, Jun Tao
    Main track (Planning and Scheduling)
  • Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains
    Florent Teichteil-Königsbuch, Miquel Ramirez, Nir Lipovetzky
    Main track (Planning and Scheduling)
  • Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning
    Silvan Sievers, Florian Pommerening, Thomas Keller, Malte Helmert
    Main track (Planning and Scheduling)
  • Decidability Results in First-Order Epistemic Planning
    Andrés Occhipinti Liberman, Rasmus Kræmmer Rendsvig
    Main track (Planning and Scheduling)
  • Delete- and Ordering-Relaxation Heuristics for HTN Planning
    Daniel Höller, Pascal Bercher, Gregor Behnke
    Main track (Planning and Scheduling)
  • DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs
    Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum
    Main track (Planning and Scheduling)
  • Front-to-Front Heuristic Search for Satisficing Classical Planning
    Ryo Kuroiwa, Alex Fukunaga
    Main track (Planning and Scheduling)
  • Iterative-Deepening Conflict-Based Search
    Eli Boyarski, Ariel Felner, Daniel Harabor, Peter J. Stuckey, Liron Cohen, Jiaoyang Li, Sven Koenig
    Main track (Planning and Scheduling)
  • Multi-Directional Heuristic Search
    Dor Atzmon, Jiaoyang Li, Ariel Felner, Eliran Nachmani, Shahaf S. Shperberg, Nathan R. Sturtevant, Sven Koenig
    Main track (Planning and Scheduling)
  • Multi-Robot Adversarial Patrolling Strategies via Lattice Paths
    Jan Buermann, Jie Zhang
    Main track (Planning and Scheduling)
  • Online Revenue Maximization for Server Pricing
    Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta
    Main track (Planning and Scheduling)
  • Optimal Planning Modulo Theories
    Francesco Leofante, Enrico Giunchiglia, Erika Ábráham, Armando Tacchella
    Main track (Planning and Scheduling)
  • Optimising Partial-Order Plans Via Action Reinstantiation
    Max Waters, Lin Padgham, Sebastian Sardina
    Main track (Planning and Scheduling)
  • Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties
    Rebecca Eifler, Marcel Steinmetz, Álvaro Torralba, Joerg Hoffmann
    Main track (Planning and Scheduling)
  • Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization
    Marnix Suilen, Nils Jansen, Murat Cubuktepe, Ufuk Topcu
    Main track (Planning and Scheduling)
  • Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions
    Michael Saint-Guillain, Tiago Stegun Vaquero, Jagriti Agrawal, Steve Chien
    Main track (Planning and Scheduling)
  • Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces
    Michael H. Lim, Claire Tomlin, Zachary N. Sunberg
    Main track (Planning and Scheduling)
  • Steady-State Policy Synthesis in Multichain Markov Decision Processes
    George Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez
    Main track (Planning and Scheduling)
  • Trade the System Efficiency for the Income Equality of Drivers in Rideshare
    Yifan Xu, Pan Xu
    Main track (Planning and Scheduling)
  • Trading Plan Cost for Timeliness in Situated Temporal Planning
    Shahaf S. Shperberg, Andrew Coles, Erez Karpas, Eyal Shimony, Wheeler Ruml
    Main track (Planning and Scheduling)
  • Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
    Steven Carr, Nils Jansen, Ufuk Topcu
    Main track (Planning and Scheduling)

    • Main track (Robotics)

  • Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation
    Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha
    Main track (Robotics)
  • Euclidean Pathfinding with Compressed Path Databases
    Bojie Shen, Muhammad Aamir Cheema, Daniel Harabor, Peter J. Stuckey
    Main track (Robotics)

    • Main track (Uncertainty in AI)

  • A Complete Characterization of Projectivity for Statistical Relational Models
    Manfred Jaeger, Oliver Schulte
    Main track (Uncertainty in AI)
  • Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry
    Timothy van Bremen, Ondrej Kuzelka
    Main track (Uncertainty in AI)
  • Efficient and Robust High-Dimensional Linear Contextual Bandits
    Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian
    Main track (Uncertainty in AI)
  • Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis
    Niels Grüttemeier, Christian Komusiewicz
    Main track (Uncertainty in AI)
  • Lifted Hybrid Variational Inference
    Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi
    Main track (Uncertainty in AI)
  • Neural Belief Reasoner
    Haifeng Qian
    Main track (Uncertainty in AI)
  • Scaling Up AND/OR Abstraction Sampling
    Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter
    Main track (Uncertainty in AI)
  • State Variable Effects in Graphical Event Models
    Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
    Main track (Uncertainty in AI)

    • Special track on AI for CompSust and Human well-being

  • Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach
    Hau Chan, Long Tran-Thanh, Vignesh Viswanathan
    Special track on AI for CompSust and Human well-being
  • Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
    Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller
    Special track on AI for CompSust and Human well-being
  • Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth
    Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang
    Special track on AI for CompSust and Human well-being
  • Improving Tandem Mass Spectra Analysis with Hierarchical Learning
    Zhengcong Fei
    Special track on AI for CompSust and Human well-being
  • Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
    Connor Riley, Pascal van Hentenryck, Enpeng Yuan
    Special track on AI for CompSust and Human well-being
  • Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction
    Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
    Special track on AI for CompSust and Human well-being
  • Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task
    Kehinde Owoeye
    Special track on AI for CompSust and Human well-being
  • Multi-View Joint Graph Representation Learning for Urban Region Embedding
    Mingyang Zhang, Tong Li, Yong Li, Pan Hui
    Special track on AI for CompSust and Human well-being
  • An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics
    Chung-Kyun Han, Shih-Fen Cheng
    Special track on AI for CompSust and Human well-being
  • Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation
    Yingwei Zhang, Yiqiang Chen, Hanchao Yu, Zeping Lv, Qing Li, Xiaodong Yang
    Special track on AI for CompSust and Human well-being
  • Who Am I?: Towards Social Self-Awareness for Intelligent Agents
    Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan
    Special track on AI for CompSust and Human well-being
  • A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study
    Luca Romeo, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani, Emanuele Frontoni
    Special track on AI for CompSust and Human well-being
  • Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
    Junwen Bai, Shufeng Kong, Carla Gomes
    Special track on AI for CompSust and Human well-being
  • Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
    Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla Gomes
    Special track on AI for CompSust and Human well-being
  • Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation
    Pramith Devulapalli, Bistra Dilkina, Yexiang Xue
    Special track on AI for CompSust and Human well-being
  • Generating Interpretable Poverty Maps using Object Detection in Satellite Images
    Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon
    Special track on AI for CompSust and Human well-being
  • PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
    Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du
    Special track on AI for CompSust and Human well-being
  • Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram
    Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
    Special track on AI for CompSust and Human well-being
  • Harnessing Code Switching to Transcend the Linguistic Barrier
    Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell
    Special track on AI for CompSust and Human well-being

    • Special Track on AI in FinTech

  • BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain
    Cuneyt G. Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu
    Special Track on AI in FinTech
  • Federated Meta-Learning for Fraudulent Credit Card Detection
    Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang
    Special Track on AI in FinTech
  • The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert
    Cheng WANG
    Special Track on AI in FinTech
  • SEBF: A Single-Chain based Extension Model of Blockchain for Fintech
    Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu
    Special Track on AI in FinTech
  • Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking
    Honglei Guo, Bang An, Zhili Guo, Zhong Su
    Special Track on AI in FinTech
  • Market Manipulation: An Adversarial Learning Framework for Detection and Evasion
    Xintong Wang, Michael P. Wellman
    Special Track on AI in FinTech
  • Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining
    Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi
    Special Track on AI in FinTech
  • Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem
    Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu
    Special Track on AI in FinTech
  • A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem
    Xin Huang, Duan Li
    Special Track on AI in FinTech
  • Data-Driven Market-Making via Model-Free Learning
    Yueyang Zhong, YeeMan Bergstrom, Amy Ward
    Special Track on AI in FinTech
  • Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection
    Chi Seng Pun, Lei Wang, Hoi Ying Wong
    Special Track on AI in FinTech
  • MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
    Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang
    Special Track on AI in FinTech
  • Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction
    Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su
    Special Track on AI in FinTech
  • Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit
    Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang
    Special Track on AI in FinTech
  • RM-CVaR: Regularized Multiple β-CVaR Portfolio
    Kei Nakagawa, Shuhei Noma, Masaya Abe
    Special Track on AI in FinTech
  • Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection
    Xia Cai
    Special Track on AI in FinTech
  • ``The Squawk Bot'': Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering
    Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos
    Special Track on AI in FinTech
  • A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis
    Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
    Special Track on AI in FinTech
  • A Unified Model for Financial Event Classification, Detection and Summarization
    Quanzhi Li, Qiong Zhang
    Special Track on AI in FinTech
  • An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization
    Siyu Lin, Peter A. Beling
    Special Track on AI in FinTech
  • F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification
    Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
    Special Track on AI in FinTech
  • Financial Risk Prediction with Multi-Round Q&A Attention Network
    Zhen Ye, Yu Qin, Wei Xu
    Special Track on AI in FinTech
  • FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining
    Zhuang Liu, Degen Huang, Kaiyu Huang, Zhuang Li, Jun Zhao
    Special Track on AI in FinTech
  • Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
    Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo
    Special Track on AI in FinTech
  • IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
    Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu
    Special Track on AI in FinTech
  • Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain
    Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings
    Special Track on AI in FinTech
  • Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems
    Shuoyao Wang, Diwei Zhu
    Special Track on AI in FinTech
  • Multi-scale Two-way Deep Neural Network for Stock Trend Prediction
    Guang Liu, Yuzhao Mao, Qi Sun, Hailong Huang, Weiguo Gao, Xuan Li, Jianping Shen, Ruifan Li, Xiaojie Wang
    Special Track on AI in FinTech
  • Relation-Aware Transformer for Portfolio Policy Learning
    Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan
    Special Track on AI in FinTech
  • Risk Guarantee Prediction in Networked-Loans
    Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang
    Special Track on AI in FinTech
  • Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
    Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli
    Special Track on AI in FinTech
  • Robust Market Making via Adversarial Reinforcement Learning
    Thomas Spooner, Rahul Savani
    Special Track on AI in FinTech
  • Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
    Di Chen, Yada Zhu, Xiaodong Cui, Carla Gomes
    Special Track on AI in FinTech
  • Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection
    Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li, Renxin Mao
    Special Track on AI in FinTech
  • WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
    Michael Poli, Jinkyoo Park, Ilija Ilievski
    Special Track on AI in FinTech