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 (Constraints and SAT)
Main track (Heuristic Search and Game Playing)
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
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来源：oschina
链接：https://my.oschina.net/u/4375980/blog/4525823