2020 IJCAI 接受论文 list 分类排列（一）
2020 IJCAI 接受论文 list 分类排列（一）
2020 IJCAI 接受论文 list 分类排列（二）
2020 IJCAI 接受论文 list 分类排列（三）
目录
Main track (Agent-based and Multi-agent Systems)
Main track (AI Ethics)
Main track (Computer Vision)
Main track (Constraints and SAT)
Main track (Data Mining)
Main track (Heuristic Search and Game Playing)
Main track (Humans and AI)
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 - A Multi-Objective Approach to Mitigate Negative Side Effects
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein - A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork
Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone - Almost Group Envy-free Allocation of Indivisible Goods and Chores
Haris Aziz, Simon Rey - Altruism in Coalition Formation Games
Anna Maria Kerkmann, Jörg Rothe - An Algorithm for Multi-Attribute Diverse Matching
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark Fuge, Samir Khuller - Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types
Trung Thanh Nguyen, Jörg Rothe - Assume-Guarantee Synthesis for Prompt Linear Temporal Logic
Nathanaël Fijalkow, Bastien Maubert, Aniello Murano, Moshe Vardi - Biased Opinion Dynamics: When the Devil is in the Details
Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo - Budgeted Facility Location Games with Strategic Facilities
Minming Li, Chenhao Wang, Mengqi Zhang - Combining Direct Trust and Indirect Trust in Multi-Agent Systems
Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles - Competition Among Contests: a Safety Level Analysis
Ron Lavi, Omer Shiran-Shvarzbard - Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues
Evangelos Markakis, Georgios Papasotiropoulos - Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice
Brandon Fain, William Fan, Kamesh Munagala - Convexity of b-matching Games
Soh Kumabe, Takanori Maehara - Decentralized MCTS via Learned Teammate Models
Aleksander Czechowski, Frans A. Oliehoek - Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium
Jakub Cerny, Viliam Lisý, Branislav Bošanský, Bo An - Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs
Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm - Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism
Aditya Hegde, Vibhav Agarwal, Shrisha Rao - Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise
Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas - Evaluating Committees for Representative Democracies: the Distortion and Beyond
Michał Jaworski, Piotr Skowron - Fair Division of Time: Multi-layered Cake Cutting
Hadi Hosseini, Ayumi Igarashi, Andrew Searns - Fine-Grained View on Bribery for Group Identification
Niclas Boehmer, Robert Bredereck, Dušan Knop, Junjie Luo - Flow-Based Network Creation Games
Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko - Formalizing Group and Propagated Trust in Multi-Agent Systems
Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub - Incentive-Compatible Diffusion Auctions
Bin Li, Dong Hao, Dengji Zhao - Intention Progression under Uncertainty
Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah - Keeping Your Friends Close: Land Allocation with Friends
Edith Elkind, Neel Patel, Alan Tsang, Yair Zick - Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings - Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory
Wiebe Van der Hoek, Louwe Kuijer, Yì Wáng - Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang - Maximum Nash Welfare and Other Stories About EFX
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris - Mechanism Design for School Choice with Soft Diversity Constraints
Haris Aziz, Serge Gaspers, Zhaohong Sun - 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 - Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Ying Wen, Yaodong Yang, Jun Wang - Monte-Carlo Tree Search for Scalable Coalition Formation
Feng Wu, Sarvapali D. Ramchurn - On the complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules
Chinmay Sonar, Palash Dey, Neeldhara Misra - Partial Adversarial Behavior Deception in Security Games
Thanh H. Nguyen, Arunesh Sinha, He He - Participatory Budgeting with Project Interactions
Pallavi Jain, Krzysztof Sornat, Nimrod Talmon - Peer-Prediction in the Presence of Outcome Dependent Lying Incentives
Naman Goel, Aris Filos-Ratsikas, Boi Faltings - PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov - Prophet Inequalities for Bayesian Persuasion
Niklas Hahn, Martin Hoefer, Rann Smorodinsky - Proportionality in Approval-Based Elections With a Variable Number of Winners
Rupert Freeman, Anson Kahng, David M. Pennock - Selecting Voting Locations for Fun and Profit
Zack Fitzsimmons, Omer Lev - Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions
Tahar Allouche, Bruno Escoffier, Stefano Moretti, Meltem Öztürk - Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities
Yanchen Deng, Bo An - Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP
Jiehua Chen, Robert Ganian, Thekla Hamm - Stable Roommate Problem with Diversity Preferences
Niclas Boehmer, Edith Elkind - Strategic Campaign Management in Apportionment Elections
Robert Bredereck, Piotr Faliszewski, Michal Furdyna, Andrzej Kaczmarczyk, Martin Lackner - Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio
Minming Li, Pinyan Lu, Yuhao Yao, Jialin Zhang - Sybil-proof Answer Querying Mechanism
Yao Zhang, Xiuzhen Zhang, Dengji Zhao - Synthesis of Deceptive Strategies in Reachability Games with Action Misperception
Abhishek N. Kulkarni, Jie Fu - The Competitive Effects of Variance-based Pricing
Ludwig Dierks, Sven Seuken - The Complexity of Election Problems with Group-Separable Preferences
Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova - Tight Approximation for Proportional Approval Voting
Szymon Dudycz, Pasin Manurangsi, Jan Marcinkowski, Krzysztof Sornat - Uniform Welfare Guarantees Under Identical Subadditive Valuations
Siddharth Barman, Ranjani G. Sundaram - Verifying Fault-Tolerance in Probabilistic Swarm Systems
Alessio Lomuscio, Edoardo Pirovano - Well-Structured Committees
Sushmita Gupta, Pallavi Jain, Saket Saurabh - When to Follow the Tip: Security Games with Strategic Informants
Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang
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 - Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
Samuel Yeom, Matt Fredrikson - Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models
Pingchuan Ma, Shuai Wang, Jin Liu - Relation-Based Counterfactual Explanations for Bayesian Network Classifiers
Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni - WEFE: The Word Embeddings Fairness Evaluation Framework
Pablo Badilla, Felipe Bravo-Marquez, Jorge Pérez
Main track (Computer Vision)
- A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time
Elena Burceanu, Marius Leordeanu - A Graph-based Interactive Reasoning for Human-Object Interaction Detection
Dongming Yang, Yuexian Zou - A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang - Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection
Xue Lin, Qi Zou, Xixia Xu - AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation
Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun - 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 - Bi-level Probabilistic Feature Learning for Deformable Image Registration
Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo - Biased Feature Learning for Occlusion Invariant Face Recognition
Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao - Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li - Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection
Lianli Gao, Zhilong Zhou, Heng Tao Shen, Jingkuan Song - Channel Pruning via Automatic Structure Search
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian - Channel-Level Variable Quantization Network for Deep Image Compression
Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa - Characterizing Similarity of Visual Stimulus from Associated Neuronal Response
Vikram Ravindra, Ananth Grama - Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang - Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos
Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao - 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 - 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 - Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift
Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng - 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 - Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention
Feng Li, Runmin Cong, Huihui Bai, Yifan He - Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes
Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan - 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 - Diagnosing the Environment Bias in Vision-and-Language Navigation
Yubo Zhang, Hao Tan, Mohit Bansal - DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li - Disentangled Feature Learning Network for Vehicle Re-Identification
Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan - Dress like an Internet Celebrity: Fashion Retrieval in Videos
Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu - Dynamic Language Binding in Relational Visual Reasoning
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran - E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation
Meng Lan, Yipeng Zhang, Qinning Xu, Lefei Zhang - EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings
Agostina Calabrese, Michele Bevilacqua, Roberto Navigli - Exploiting Visual Semantic Reasoning for Video-Text Retrieval
Zerun Feng, Zhimin Zeng, Caili Guo, Zheng Li - Feature Augmented Memory with Global Attention Network for VideoQA
Jiayin Cai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, Ying Shan - Few-shot Human Motion Prediction via Learning Novel Motion Dynamics
Chuanqi Zang, Mingtao Pei, Yu Kong - 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 - G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation
Yingruo Fan, Zhaojiang Lin - 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 - GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector
Rui Zheng, Fei Jiang, Ruimin Shen - GSM: Graph Similarity Model for Multi-Object Tracking
Qiankun Liu, Qi Chu, Bin Liu, Nenghai Yu - HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features
Zhihui Lin, Chun Yuan, Maomao Li - 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 - Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval
Heyu Zhou, Weizhi Nie, Wenhui Li, Dan Song, An-An Liu - Human Consensus-Oriented Image Captioning
Ziwei Wang, Zi Huang, Yadan Luo - JPEG Artifacts Removal via Compression Quality Ranker-Guided Networks
Menglu Wang, Xueyang Fu, Zepei Sun, Zheng-Jun Zha - k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes
Jiping Zheng, Ganfeng Lu - Label-Attended Hashing for Multi-Label Image Retrieval
Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou - Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data
Haytham M. Fayek, Anurag Kumar - Latent Regularized Generative Dual Adversarial Network For Abnormal Detection
Chengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song - 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 - Learning Task-aware Local Representations for Few-shot Learning
Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao - Learning to Discretely Compose Reasoning Module Networks for Video Captioning
Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha - Lifelong Zero-Shot Learning
Kun Wei, Cheng Deng, Xu Yang - Meta Segmentation Network for Ultra-Resolution Medical Images
Tong Wu, Bicheng Dai, Shuxin Chen, Yanyun Qu, Yuan Xie - 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 - Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition
Yaohui Zhu, Chenlong Liu, Shuqiang Jiang - Multi-graph Fusion for Functional Neuroimaging Biomarker Detection
Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Ziwen Peng, Guorong Wu - Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition
Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha - Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization
Xinjian Huang, Bo Du, Weiwei Liu - Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu - Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding
Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Jing Yuan - Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang - Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations
Hongwei Xie, Yafei Song, Ling Cai, Mingyang Li - Pay Attention to Devils: A Photometric Stereo Network for Better Details
Yakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong - Polar Relative Positional Encoding for Video-Language Segmentation
Ke Ning, Lingxi Xie, Fei Wu, Qi Tian - Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position
Xu Ma, Song Fu - Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
Xinxun Xu, Muli Yang, Yanhua Yang, Hao Wang - Real-World Automatic Makeup via Identity Preservation Makeup Net
Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang - Recurrent Relational Memory Network for Unsupervised Image Captioning
Dan Guo, Yang Wang, Peipei Song, Meng Wang - Reference Guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun - SBAT: Video Captioning with Sparse Boundary-Aware Transformer
Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang - 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 - SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang - 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 - 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 - Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu, Wei Zhai, Yang Cao - 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 - Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu - SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy - Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension
Han-Yi Lin, Pi-Cheng Hsiu, Tei-Wei Kuo, Yen-Yu Lin - Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks
Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao - Temporal Adaptive Alignment Network for Deep Video Inpainting
Ruixin Liu, Zhenyu Weng, Yuesheng Zhu, Bairong Li - TextFuseNet: Scene Text Detection with Richer Fused Features
Jian Ye, Zhe Chen, Juhua Liu, Bo Du - 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 - Transductive Relation-Propagation Network for Few-shot Learning
Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu - 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 - Unsupervised Scene Adaptation with Memory Regularization in vivo
Zhedong Zheng, Yi Yang - Unsupervised Vehicle Re-identification with Progressive Adaptation
Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang - Video Question Answering on Screencast Tutorials
Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin - Visual Encoding and Decoding of the Human Brain Based on Shared Features
Chao Li, Baolin Liu, Jianguo Wei - 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 - Weakly Supervised Local-Global Relation Network for Facial Expression Recognition
Haifeng Zhang, Wen Su, Jun Yu, Zengfu Wang - 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 - 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 (Constraints and SAT)
- Automatic Dominance Breaking for a Class of Constraint Optimization Problems
Jimmy Lee, Allen Zhong - Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs
Ruiwei Wang, Roland H.C. Yap - 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 - Early and efficient identification of useless constraint propagation for alldifferent constraints
Xizhe Zhang, Jian Gao, Yizhi Lv, Weixiong Zhang - Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints
Zhendong Lei, Shaowei Cai, Chuan Luo - Fast and Parallel Decomposition of Constraint Satisfaction Problems
Georg Gottlob, Cem Okulmus, Reinhard Pichler - Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost
Hao Hu, Mohamed Siala, Emmanuel Hebrard, Marie-José Huguet - Learning Sensitivity of RCPSP by Analyzing the Search Process
Marc-André Ménard, Claude-Guy Quimper, Jonathan Gaudreault - NLocalSAT: Boosting Local Search with Solution Prediction
Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang - On Irrelevant Literals in Pseudo-Boolean Constraint Learning
Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon - Subgraph Isomorphism Meets Cutting Planes: Solving With Certified Solutions
Stephan Gocht, Ciaran McCreesh, Jakob Nordström
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 - A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong - BANANA: when Behavior ANAlysis meets social Network Alignment
Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo - Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang - Cause-Effect Association between Event Pairs in Event Datasets
Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian - Discrete Embedding for Latent Networks
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang - Domain Adaptive Classification on Heterogeneous Information Networks
Shuwen Yang, Guojie Song, Yilun Jin, Lun Du - Enhancing Urban Flow Maps via Neural ODEs
Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang - Entity Synonym Discovery via Multipiece Bilateral Context Matching
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu - Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification
Lianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, Ambreen Nazir - GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin - Graph Neural Architecture Search
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu - GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Yu Chen, Lingfei Wu, Mohammed J. Zaki - 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 - Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Shuo Zhang, Lei Xie - Inductive Anomaly Detection on Attributed Networks
Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu - Inductive Link Prediction for Nodes Having Only Attribute Information
Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang - JANE: Jointly Adversarial Network Embedding
Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo - Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei - Motif-Preserving Temporal Network Embedding
Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin - MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng - Multi-Channel Graph Neural Networks
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu - Network Schema Preserving Heterogeneous Information Network Embedding
Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye - On the Enumeration of Association Rules: A Decomposition-based Approach
Yacine Izza, Said Jabbour, Badran Raddaoui, Abdelahmid Boudane - Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao - Opinion Maximization in Social Trust Networks
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu - Optimal Region Search with Submodular Maximization
Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao - Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh - Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen - Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning
Ximing Li, Yang Wang - Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng - Rumor Detection on Social Media with Graph Structured Adversarial Learning
Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang - Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms
Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen - Speeding up Very Fast Decision Tree with Low Computational Cost
Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao - 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 - When Do GNNs Work: Understanding and Improving Neighborhood Aggregation
Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han
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 - 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 - NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set
Bohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum - Self-Guided Evolution Strategies with Historical Estimated Gradients
Fei-Yu Liu, Zi-Niu Li, Chao Qian - Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin - Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem
Curtis Bright, Kevin K.H. Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh - Vertex Weighting-Based Tabu Search for p-Center Problem
Qingyun Zhang, Zhipeng Lü, Zhouxing Su, Chumin Li, Yuan Fang, Fuda Ma