IJCAI 2022

862 papers

Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings

Danushka Bollegala

Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation

Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu

Aspect-based Sentiment Analysis with Opinion Tree Generation

Xiaoyi Bao, Wang Zhongqing, Xiaotong Jiang, Rong Xiao, Shoushan Li

Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking

Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang

Post-processing of Differentially Private Data: A Fairness Perspective

Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck

Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training

XIANGLIN YANG, Yun Lin, Ruofan Liu, Jin Song Dong

A Smart Trader for Portfolio Management based on Normalizing Flows

Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu

ARCANE: An Efficient Architecture for Exact Machine Unlearning

Haonan Yan, Xiaoguang Li, Ziyao Guo, Hui Li, Fenghua Li

TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources

Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan

Data-Efficient Backdoor Attacks

Pengfei Xia, Ziqiang Li, Wei Zhang, Bin Li

Learnability of Competitive Threshold Models

Yifan Wang, Guangmo Tong

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction

Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun

Adaptive Long-Short Pattern Transformer for Stock Investment Selection

Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Shijie Guan

Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation

Heyuan Wang, Tengjiao Wang, Shun Li, Shijie Guan, Jiayi Zheng

Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems

Xu Wan, Lanting Zeng, Mingyang Sun

Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited

Youming Tao, Yulian Wu, Xiuzhen Cheng, Di Wang

Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion

Liangde Tao, Lin Chen, Lei Xu, Weidong Shi

Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit

Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey

FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting

Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang

Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction

Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution

Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam

Distilling Governing Laws and Source Input for Dynamical Systems from Videos

Lele Luan, Yang Liu, Hao Sun

Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects

Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu

Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules

Chen Li, Chikashige Yamanaka, Kazuma Kaitoh, Yoshihiro Yamanishi

Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness

Levi H.S. Lelis, João G.G.V. Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp

Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data

Harim Lee, Eunseon Seong, Dong-Kyu Chae

Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction

Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya

Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method

Qize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun, Baihua Zheng

A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections

Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding, Archie Chapman

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source

Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang

Membership Inference via Backdooring

Hongsheng Hu, Zoran Salčić, Gillian Dobbie, Jinjun Chen, Lichao Sun

Placing Green Bridges Optimally, with Habitats Inducing Cycles

Maike Herkenrath, Till Fluschnik, Francesco Grothe, Leon Kellerhals

3E-Solver: An Effortless, Easy-to-Update, and End-to-End Solver with Semi-Supervised Learning for Breaking Text-Based Captchas

Xianwen Deng, Ruijie Zhao, Yanhao Wang, Libo Chen, Yijun Wang

Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes

Rui Cheng, Qing Li

Multi-Constraint Deep Reinforcement Learning for Smooth Action Control

Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan

RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning

Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang

Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast

Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun

Learning Mixtures of Random Utility Models with Features from Incomplete Preferences

Zhibing Zhao, Ao Liu, Lirong Xia

Fusion Label Enhancement for Multi-Label Learning

Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering

Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering

Yiqun Zhang, Yiu-ming Cheung, An Zeng

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences

Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong

Penalized Proximal Policy Optimization for Safe Reinforcement Learning

Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang

Hierarchical Diffusion Scattering Graph Neural Network

Ke ZHANG, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu

Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport

Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning

Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye

Model-Based Offline Planning with Trajectory Pruning

Xianyuan Zhan, Xiangyu Zhu, Haoran Xu

Improved Pure Exploration in Linear Bandits with No-Regret Learning

Mohammadi Zaki, Avi Mohan, Aditya Gopalan

Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan

Masked Feature Generation Network for Few-Shot Learning

yunlong yu, Dingyi Zhang, Zhong Ji

Robust Weight Perturbation for Adversarial Training

Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge

EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment

Bruce X.B. Yu, Yan Liu, Xiang Zhang, Gong Chen, Keith C.C. Chan

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen

Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning

Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Li Lu

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu

On the (In)Tractability of Reinforcement Learning for LTL Objectives

Cambridge Yang, Michael L. Littman, Michael Carbin

Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination

Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang

MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning

Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang

MultiQuant: Training Once for Multi-bit Quantization of Neural Networks

Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang

Neuro-Symbolic Verification of Deep Neural Networks

Xuan Xie, Kristian Kersting, Daniel Neider

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning

Shi-Yu Xia, Jiaqi Lv, Ning Xu, Xin Geng

Adversarial Bi-Regressor Network for Domain Adaptive Regression

Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip Orlik

Information Augmentation for Few-shot Node Classification

Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma

Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles

Zheng-Fan Wu, Yi-Nan Feng, hui xue

Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders

xinxing wu, Qiang Cheng

A Simple yet Effective Method for Graph Classification

Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu

A Unified Meta-Learning Framework for Dynamic Transfer Learning

Jun Wu, Jingrui He

EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion

Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan

Value Refinement Network (VRN)

Jan Wöhlke, Felix Schmitt, Herke van Hoof

Self-paced Supervision for Multi-source Domain Adaptation

Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He

Estimation and Comparison of Linear Regions for ReLU Networks

Yuan Wang

Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications

Xuchuang Wang, Hong Xie, John C. S. Lui

Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation

Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang

IMO^3: Interactive Multi-Objective Off-Policy Optimization

Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier

Multi-Task Personalized Learning with Sparse Network Lasso

Jiankun Wang, Lu Sun

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration

Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu

Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback

Zongqi Wan, Xiaoming Sun, Jialin Zhang

Initializing Then Refining: A Simple Graph Attribute Imputation Network

Wenxuan Tu, sihang zhou, Xinwang Liu, Yue Liu, Zhiping Cai

Approximate Exploitability: Learning a Best Response

Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams

Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks

Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald Metoyer

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation

Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald Metoyer

MMT: Multi-way Multi-modal Transformer for Multimodal Learning

Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong

Memory Augmented State Space Model for Time Series Forecasting

Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang

CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning

Chenyu Sun, Hangwei Qian, Chunyan Miao

Dynamic Sparse Training for Deep Reinforcement Learning

Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone

Lexicographic Multi-Objective Reinforcement Learning

Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate

Federated Multi-Task Attention for Cross-Individual Human Activity Recognition

Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, YAN ZHENG

Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes

Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo

Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts

Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli

Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti

On the Optimization of Margin Distribution

Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao

Search-based Reinforcement Learning through Bandit Linear Optimization

Milan Peelman, Antoon Bronselaer, Guy De Tré

Weakly-supervised Text Classification with Wasserstein Barycenters Regularization

Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li

Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations

Nikita Muravev, Aleksandr Petiushko

Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination

Adithya Murali, Atharva Sehgal, Paul Krogmeier, P. Madhusudan

Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini

A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs

Ningping Mou, Baolin Zheng, Qian Wang, Yunjie Ge, Binqing Guo