| 2026 | AAAI | Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval. | Haipeng Chen, Yu Liu, Xun Yang, Yuheng Liang, Yingda Lyu |
| 2026 | AAAI | Re-SpS: A Reinforcement Learning Approach to Speculative Sampling. | Chenan Wang, Daniel H. Shi, Haipeng Chen |
| 2026 | AAAI | Dual Coding Theory in Action: Language-Assisted Human Pose Estimation in Videos. | Sifan Wu, Haipeng Chen, Yingda Lyu, Shaojing Fan, Zhigang Wang, Zhenguang Liu, Yingying Jiao |
| 2026 | AAAI | Attentive Keypoint Identification: Progressive Spatiotemporal Refinement for Video-based Human Pose Estimation. | Sifan Wu, Haipeng Chen, Yingda Lyu, Shaojing Fan, Zhigang Wang, Zhenguang Liu, Yingying Jiao |
| 2026 | AAAI | VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation. | Hongyu Zhang, Haipeng Chen, Chengxin Yang, Yingda Lyu |
| 2026 | ACL | Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing. | Tejal Nair, Mahmud Wasif Nafee, Maiqi Jiang, Ashley Gao, Haipeng Chen, Yanfu Zhang |
| 2026 | WWW | Pedestrian-Centric Discriminative and Fine-grained Semantic Mining for Text-based Person Retrieval. | Yuheng Liang, Haipeng Chen, Yu Liu, Yingda Lyu, Xue Wang |
| 2025 | AAAI | Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation. | Haipeng Chen, Sifan Wu, Zhigang Wang, Yifang Yin, Yingying Jiao, Yingda Lyu, Zhenguang Liu |
| 2025 | AAAI | Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion. | Haipeng Chen, Yuheng Yang, Yingda Lyu |
| 2025 | AAAI | Population Aware Diffusion for Time Series Generation. | Yang Li, Han Meng, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen |
| 2025 | AAAI | HVIS: A Human-like Vision and Inference System for Human Motion Prediction. | Kedi Lyu, Haipeng Chen, Zhenguang Liu, Yifang Yin, Yukang Lin, Yingying Jiao |
| 2025 | CIKM | AutoRuleSQL: Hybrid Text-to-SQL via Rule-Driven Fast Paths and LLM Bootstrapping. | Han Xu, Yang Li, Yanhai Xiong, Robert Mintern, Amir Louka, Haipeng Chen |
| 2025 | EMNLP | Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization. | Mahmud Wasif Nafee, Maiqi Jiang, Haipeng Chen, Yanfu Zhang |
| 2025 | ICASSP | Auxiliary Tasks Benefit Skeleton-based Action Recognition. | Yuheng Yang, Haipeng Chen |
| 2025 | ICLR | Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning. | Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen |
| 2025 | ICLR | Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games? | Yuheng Li, Panpan Wang, Haipeng Chen |
| 2025 | IJCAI | 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 |
| 2024 | AAAI | Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval. | Yu Liu, Guihe Qin, Haipeng Chen, Zhiyong Cheng, Xun Yang |
| 2024 | CIKM | Towards Real-Time and Personalized Code Generation. | Han Xu, Xingyuan Wang, Haipeng Chen |
| 2024 | CVPR | Rethinking Human Motion Prediction with Symplectic Integral. | Haipeng Chen, Kedi Lyu, Zhenguang Liu, Yifang Yin, Xun Yang, Yingda Lyu |
| 2024 | EMNLP | RESTful-Llama: Connecting User Queries to RESTful APIs. | Han Xu, Ruining Zhao, Jindong Wang, Haipeng Chen |
| 2024 | ICLR | S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. | Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla |
| 2024 | ICLR | Can Speculative Sampling Accelerate ReAct Without Compromising Reasoning Quality? | Han Xu, Jingyang Ye, Yutong Li, Haipeng Chen |
| 2024 | UAI | Decentralized Online Learning in General-Sum Stackelberg Games. | Yaolong Yu, Haipeng Chen |
| 2023 | IJCAI | Complex Contagion Influence Maximization: A Reinforcement Learning Approach. | Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2023 | IJCAI | Discrepancy-Guided Reconstruction Learning for Image Forgery Detection. | Zenan Shi, Haipeng Chen, Long Chen, Dong Zhang |
| 2023 | IJCAI | 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 |
| 2022 | AAAI | 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 |
| 2022 | AAAI | Micronutrient Deficiency Prediction via Publicly Available Satellite Data. | Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe |
| 2022 | ICANN | Multiscale Spatial and Temporal Learning for Human Motion Prediction. | Pengxiang Su, Xuanjing Shen, Haipeng Chen |
| 2022 | IJCAI | Sequential Vaccine Allocation with Delayed Feedback. | Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh |
| 2021 | AAAI | Aggregated Multi-GANs for Controlled 3D Human Motion Prediction. | Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji |
| 2021 | AAAI | EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation. | Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang |
| 2021 | ICCV | Motion Prediction using Trajectory Cues. | Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang |
| 2021 | UAI | Contingency-aware influence maximization: A reinforcement learning approach. | Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe |
| 2021 | UAI | Robust reinforcement learning under minimax regret for green security. | Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe |
| 2020 | UAI | Learning Behaviors with Uncertain Human Feedback. | Xu He, Haipeng Chen, Bo An |
| 2019 | ICDM | VASE: A Twitter-Based Vulnerability Analysis and Score Engine. | Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian |
| 2019 | ICDM | InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. | Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye |
| 2019 | IJCAI | 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 |
| 2019 | IJCAI | VEST: A System for Vulnerability Exploit Scoring & Timing. | Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian |
| 2019 | IJCAI | Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. | Wei Qiu, Haipeng Chen, Bo An |
| 2019 | KDD | Using Twitter to Predict When Vulnerabilities will be Exploited. | Haipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian |
| 2018 | AAAI | 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 |
| 2018 | AAAI | HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. | Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An |
| 2016 | KDD | MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. | Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian |