IJCAI 2021

722 papers

Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents

Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen

Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling

Rexhina Blloshmi, Simone Conia, Rocco Tripodi, Roberto Navigli

Exemplification Modeling: Can You Give Me an Example, Please?

Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli

Objective-aware Traffic Simulation via Inverse Reinforcement Learning

Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling

Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu

CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction

Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang

GraphMI: Extracting Private Graph Data from Graph Neural Networks

ZAIXI ZHANG, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu

Real-Time Pricing Optimization for Ride-Hailing Quality of Service

Enpeng Yuan, Pascal Van Hentenryck

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations

Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun

Change Matters: Medication Change Prediction with Recurrent Residual Networks

Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun

Towards Generating Summaries for Lexically Confusing Code through Code Erosion

Fan Yan, Ming Li

Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play

Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An

Hiding Numerical Vectors in Local Private and Shuffled Messages

Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning

Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing

Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction

Heyuan Wang, Shun Li, Tengjiao Wang, Jiayi Zheng

Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection

Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang

Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang

Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network

Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng

CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space

Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An

Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams

Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao

Differentially Private Correlation Alignment for Domain Adaptation

Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen

Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning

Qize Jiang, Jingze Li, Weiwei Sun, Baihua Zheng

Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models

Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing

Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo

TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

Xu Chen, Junshan Wang, Kunqing Xie

Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data

Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis

A Novel Sequence-to-Subgraph Framework for Diagnosis Classification

Jun Chen, Quan Yuan, Chao Lu, Haifeng Huang

Electrocardio Panorama: Synthesizing New ECG views with Self-supervision

Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu

A Rule Mining-based Advanced Persistent Threats Detection System

Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev

Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling

Xi Yang, yuan zhang, Min Chi

Boosting Offline Reinforcement Learning with Residual Generative Modeling

Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan

Ordering-Based Causal Discovery with Reinforcement Learning

Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen

Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge

Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng wang

TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Shah

SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables

Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events

Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare

Chang Lu, Chandan K Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning

Solving Math Word Problems with Teacher Supervision

Zhenwen Liang, Xiangliang Zhang

Two-Sided Wasserstein Procrustes Analysis

Kun Jin, Chaoyue Liu, Cathy Xia

Self-Guided Community Detection on Networks with Missing Edges

Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang

Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization

Hongchang Gao, Hanzi Xu, Slobodan Vucetic

Toward Optimal Solution for the Context-Attentive Bandit Problem

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen

You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network

Kefeng Zhu, Peilin Tong, Hongwei Kan, Rengang Li

AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression

Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Alars

Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection

Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu

Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning

Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang

Few-Shot Partial-Label Learning

Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui

Uncertainty-aware Binary Neural Networks

Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, DAVID DOERMANN

Graph Debiased Contrastive Learning with Joint Representation Clustering

Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng

Automatic Mixed-Precision Quantization Search of BERT

Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin

Uncertainty-Aware Few-Shot Image Classification

Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-fu Chang

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu

Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu

Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph

Yunhao Zhang, Junchi Yan

User Retention: A Causal Approach with Triple Task Modeling

Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu

Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs

Xiao Zhang, Haoyi Xiong, Dongrui Wu

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts

Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou

Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder

Weijia Zhang

Private Stochastic Non-convex Optimization with Improved Utility Rates

Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong

Correlation-Guided Representation for Multi-Label Text Classification

Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao

UNBERT: User-News Matching BERT for News Recommendation

Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, jieming zhu

Independence-aware Advantage Estimation

Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang

Deep Descriptive Clustering

Hongjing Zhang, Ian Davidson

Hindsight Trust Region Policy Optimization

Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models

Xiao Zang, Yi Xie, Jie Chen, Bo Yuan

Improving Sequential Recommendation Consistency with Self-Supervised Imitation

Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding

Understanding the Effect of Bias in Deep Anomaly Detection

Ziyu Ye, Yuxin Chen, Haitao Zheng

Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks

Kai-Lang Yao, Wu-jun Li

Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective

Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan

BESA: BERT-based Simulated Annealing for Adversarial Text Attacks

Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu

Unsupervised Path Representation Learning with Curriculum Negative Sampling

Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang

Progressive Open-Domain Response Generation with Multiple Controllable Attributes

Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong

Secure Deep Graph Generation with Link Differential Privacy

Carl Yang, Haonan Wang, Ke ZHANG, Liang Chen, Lichao Sun

Multi-level Generative Models for Partial Label Learning with Non-random Label Noise

Yan Yan, Yuhong Guo

A Clustering-based framework for Classifying Data Streams

Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Abenezer Girma, Edward Tunstel

Decomposable-Net: Scalable Low-Rank Compression for Neural Networks

Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa

Differentially Private Pairwise Learning Revisited

Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang

Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data

Zhe Xue, Junping Du, Changwei Zheng, Jie Song, Wenqi Ren

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation

Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang

Evolutionary Gradient Descent for Non-convex Optimization

Ke Xue, Chao Qian, Ling Xu, Xudong Fei

k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks

Yiming Xu, Diego Klabjan

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning

Mingkun Xu, YuJie Wu, Lei Deng, Faqiang Liu, Guoqi Li

Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space

Zheng-Fan Wu, hui xue, Weimin Bai

Deep Reinforcement Learning Boosted Partial Domain Adaptation

Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li

GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data

Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang

Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning

Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie

Reward-Constrained Behavior Cloning

Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang

Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models

Zeyuan Wang, Chaofeng Sha, Su Yang

Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations

Yunke Wang, Chang Xu, Bo Du

Layer-Assisted Neural Topic Modeling over Document Networks

Yiming Wang, Ximing Li, Jihong Ouyang

Against Membership Inference Attack: Pruning is All You Need

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation

Yanda Wang, Weitong Chen, Dechang PI, Lin Yue, Sen Wang

Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity

Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan

Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward

Xiong Wang, Riheng Jia

Discrete Multiple Kernel k-means

Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li

Stability and Generalization for Randomized Coordinate Descent

Puyu Wang, Liang Wu, Yunwen Lei

Learn the Highest Label and Rest Label Description Degrees

Jing Wang, Xin Geng

Multi-hop Attention Graph Neural Networks

Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

Probabilistic Sufficient Explanations

Eric Wang, Pasha Khosravi, Guy Van den Broeck

Learning from Complementary Labels via Partial-Output Consistency Regularization

Deng-Bao Wang, Lei Feng, Min-ling Zhang