Chen, Haipeng

30 publications

ICLR 2025 Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games? Yuheng Li, Wang Panpan, Haipeng Chen

AAAI 2025 Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation Haipeng Chen, Sifan Wu, Zhigang Wang, Yifang Yin, Yingying Jiao, Yingda Lyu, Zhenguang Liu

IJCAI 2025 Enhancing Semantic Clarity: Discriminative and Fine-Grained Information Mining for Remote Sensing Image-Text Retrieval Yu Liu, Haipeng Chen, Yuheng Liang, Yuheng Yang, Xun Yang, Yingda Lyu

AAAI 2025 HVIS: A Human-like Vision and Inference System for Human Motion Prediction Kedi Lyu, Haipeng Chen, Zhenguang Liu, Yifang Yin, Yukang Lin, Yingying Jiao

AAAI 2025 Population Aware Diffusion for Time Series Generation Yang Li, Han Meng, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen

ICLR 2025 Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen

AAAI 2025 Skeleton-Based Action Recognition with Non-Linear Dependency Modeling and Hilbert-Schmidt Independence Criterion Haipeng Chen, Yuheng Yang, Yingda Lyu

AAAI 2024 Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval Yu Liu, Guihe Qin, Haipeng Chen, Zhiyong Cheng, Xun Yang

UAI 2024 Decentralized Online Learning in General-Sum Stackelberg Games Yaolong Yu, Haipeng Chen

CVPR 2024 Rethinking Human Motion Prediction with Symplectic Integral Haipeng Chen, Kedi Lyu, Zhenguang Liu, Yifang Yin, Xun Yang, Yingda Lyu

ICLR 2024 S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla

NeurIPSW 2023 $S^2Ac$: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla

IJCAI 2023 Action Recognition with Multi-Stream Motion Modeling and Mutual Information Maximization Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren

IJCAI 2023 Complex Contagion Influence Maximization: A Reinforcement Learning Approach Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe

IJCAI 2023 Discrepancy-Guided Reconstruction Learning for Image Forgery Detection Zenan Shi, Haipeng Chen, Long Chen, Dong Zhang

AAAI 2022 Micronutrient Deficiency Prediction via Publicly Available Satellite Data Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe

IJCAI 2022 Sequential Vaccine Allocation with Delayed Feedback Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh

AAAI 2022 Using Public Data to Predict Demand for Mobile Health Clinics Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe

AAAI 2021 Aggregated Multi-GANs for Controlled 3D Human Motion Prediction Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji

UAI 2021 Contingency-Aware Influence Maximization: A Reinforcement Learning Approach Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe

AAAI 2021 EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang

NeurIPS 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe

ICCV 2021 Motion Prediction Using Trajectory Cues Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang

UAI 2021 Robust Reinforcement Learning Under Minimax Regret for Green Security Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe

UAI 2020 Learning Behaviors with Uncertain Human Feedback Xu He, Haipeng Chen, Bo An

IJCAI 2019 Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks Wei Qiu, Haipeng Chen, Bo An

IJCAI 2019 FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian

IJCAI 2019 VEST: A System for Vulnerability Exploit Scoring & Timing Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian

AAAI 2018 DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh

AAAI 2018 HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An