Wen, Ying

38 publications

AAAI 2025 AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen

CoRL 2025 AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit Yang Li, Junfan Chen, Feng Xue, Jiabin Qiu, Wenbin Li, Qingrui Zhang, Ying Wen, Wei Pan

ICCV 2025 CoSMIC: Continual Self-Supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, Heng Tao Shen

AAAI 2025 M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection Jiafeng Li, Ying Wen, Lianghua He

ICLRW 2025 Natural Language Reinforcement Learning Xidong Feng, Bo Liu, Ziyu Wan, Haotian Fu, Girish A. Koushik, Zhiyuan Hu, Mengyue Yang, Ying Wen, Jun Wang

AAAI 2025 RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang

NeurIPS 2025 ReMA: Learning to Meta-Think for LLMs with Multi-Agent Reinforcement Learning Ziyu Wan, Yunxiang Li, Xiaoyu Wen, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen

NeurIPS 2025 STAR: Efficient Preference-Based Reinforcement Learning via Dual Regularization Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Shao Zhang, Bo Xu, Lei Han, Ying Wen, Yaodong Yang

NeurIPS 2025 ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning Shulin Huang, Linyi Yang, Yan Song, Shuang Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang

NeurIPS 2024 Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan

ICML 2024 AlphaZero-like Tree-Search Can Guide Large Language Model Decoding and Training Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus Mcaleer, Ying Wen, Weinan Zhang, Jun Wang

ICLRW 2024 Controlling Large Language Model-Based Agents for Large-Scale Decision-Making: An Actor-Critic Approach Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Guoliang Fan, Lijuan Li

AAAI 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao

ICML 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang

AAAI 2024 EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks Jiafeng Li, Zelin Li, Ying Wen

CVPR 2024 IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration Tai Ma, Suwei Zhang, Jiafeng Li, Ying Wen

NeurIPS 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen

JAIR 2024 Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

NeurIPS 2024 ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-Agent Zero-Shot Coordination Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang

NeurIPSW 2023 AlphaZero-like Tree-Search Can Guide Large Language Model Decoding and Training Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang

ICML 2023 Cooperative Open-Ended Learning Framework for Zero-Shot Coordination Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

ICML 2023 GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai

MLOSS 2023 MALib: A Parallel Framework for Population-Based Multi-Agent Reinforcement Learning Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang

ICLR 2023 Order Matters: Agent-by-Agent Policy Optimization Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang

CVPR 2023 SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy Jiafeng Li, Ying Wen, Lianghua He

ICML 2022 Greedy When Sure and Conservative When Uncertain About the Opponents Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

NeurIPS 2022 Multi-Agent Reinforcement Learning Is a Sequence Modeling Problem Muning Wen, Jakub Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang

ICLR 2022 Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang

ICML 2021 Learning in Nonzero-Sum Stochastic Games with Potentials David H Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang

ICML 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez-Nieves, Yaodong Yang, Oliver Slumbers, David H Mguni, Ying Wen, Jun Wang

NeurIPS 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang

NeurIPS 2021 Towards Unifying Behavioral and Response Diversity for Open-Ended Learning in Zero-Sum Games Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang

IJCAI 2020 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen, Yaodong Yang, Jun Wang

ICML 2020 Multi-Agent Determinantal Q-Learning Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

AAAI 2020 Segmenting Medical MRI via Recurrent Decoding Cell Ying Wen, Kai Xie, Lianghua He

IJCAI 2019 A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang

ICLR 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan