Ying Wen - RankMe

125 papers A* 22A 5B 1Misc 1Journal 84Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computing ex ante equilibrium in heterogeneous zero-sum team game. Frontiers Comput. Sci. Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen
2026	J	`jnl`	DSR: optimization of performance lower bound for hierarchical policy with dynamical skill refinement. Frontiers Comput. Sci. Dongxiang Chen, Ying Wen
2026	J	`jnl`	MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory. CoRR Shengtao Zhang, Jiaqian Wang, Ruiwen Zhou, Junwei Liao, Yuchen Feng, Weinan Zhang, Ying Wen, Zhiyu Li, Feiyu Xiong, Yutao Qi, Bo Tang, Muning Wen
2026	A*	`conf`	Offline Fictitious Self-Play for Competitive Games. AAAI Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen
2026	J	`jnl`	Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis. CoRR Yujie Zheng, Zhuo Li, Shengtao Zhang, Hanjing Wang, Junjie Sheng, Jiaqian Wang, Junchi Yan, Weinan Zhang, Ying Wen, Bo Tang, Muning Wen
2026	J	`jnl`	Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity. CoRR Yingxuan Yang, Chengrui Qu, Muning Wen, Laixi Shi, Ying Wen, Weinan Zhang, Adam Wierman, Shangding Gu
2025	J	`jnl`	A Survey of AI Agent Protocols. CoRR Yingxuan Yang, Huacan Chai, Yuanyi Song, Siyuan Qi, Muning Wen, Ning Li, Junwei Liao, Haoyi Hu, Jianghao Lin, Gaowei Chang, Weiwen Liu, Ying Wen, Yong Yu, Weinan Zhang
2025	—	`conf`	Accelerating Multi‑turn LLM Agent Workflows via Context Templating and Opportunistic Prefill. ICIC (13) Hanjing Wang, Ying Wen, Weinan Zhang
2025	J	`jnl`	Agent Exchange: Shaping the Future of AI Agent Economics. CoRR Yingxuan Yang, Ying Wen, Jun Wang, Weinan Zhang
2025	J	`jnl`	Agentic Web: Weaving the Next Web with AI Agents. CoRR Yingxuan Yang, Mulei Ma, Yuxuan Huang, Huacan Chai, Chenyu Gong, Haoran Geng, Yuanjian Zhou, Ying Wen, Meng Fang, Muhao Chen, Shangding Gu, Ming Jin, Costas J. Spanos, Yang Yang, Pieter Abbeel, Dawn Song, Weinan Zhang, Jun Wang
2025	J	`jnl`	Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI. CoRR Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, Lingfeng Zhang, Yuecheng Liu, Peilong Han, Longxin Kou, Shaojin Ma, Jinbin Qiao, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao
2025	A	`conf`	Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles. ECAI Jiesong Lian, Yucong Huang, Chengdong Ma, Mingzhi Wang, Ying Wen, Long Hu, Yixue Hao
2025	J	`jnl`	Language Games as the Pathway to Artificial Superhuman Intelligence. CoRR Ying Wen, Ziyu Wan, Shao Zhang
2025	J	`jnl`	Learning to Reason in Structured In-context Environments with Reinforcement Learning. CoRR Peng Yu, Zeyuan Zhao, Shao Zhang, Luoyi Fu, Xinbing Wang, Ying Wen
2025	—	`conf`	Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. ACL (1) Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song, Tingyu Li, Lin Qiu, Xuezhi Cao, Xunliang Cai, Wen Yao, Weinan Zhang, Xinbing Wang, Ying Wen
2025	J	`jnl`	Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. CoRR Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song, Tingyu Li, Lin Qiu, Xuezhi Cao, Xunliang Cai, Wen Yao, Weinan Zhang, Xinbing Wang, Ying Wen
2025	J	`jnl`	PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness. CoRR Huacan Chai, Zijie Cao, Maolin Ran, Yingxuan Yang, Jianghao Lin, Xin Peng, Hairui Wang, Renjie Ding, Ziyu Wan, Muning Wen, Weiwen Liu, Weinan Zhang, Fei Huang, Ying Wen
2025	A	`conf`	PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning. AAMAS Kun Hu, Muning Wen, Xihuai Wang, Shao Zhang, Yiwei Shi, Minne Li, Minglong Li, Ying Wen
2025	J	`jnl`	PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning. CoRR Kun Hu, Muning Wen, Xihuai Wang, Shao Zhang, Yiwei Shi, Minne Li, Minglong Li, Ying Wen
2025	A*	`conf`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. AAAI Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2025	J	`jnl`	RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations. CoRR Jingxiao Chen, Xinyao Li, Jiahang Cao, Zhengbang Zhu, Wentao Dong, Minghuan Liu, Ying Wen, Yong Yu, Liqing Zhang, Weinan Zhang
2025	J	`jnl`	ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. CoRR Ziyu Wan, Yunxiang Li, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen
2025	J	`jnl`	Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand. CoRR Fengshuo Bai, Yu Li, Jie Chu, Tawei Chou, Runchuan Zhu, Ying Wen, Yaodong Yang, Yuanpei Chen
2025	—	`conf`	Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. ACL (Findings) Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. CoRR Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. CoRR Shulin Huang, Linyi Yang, Yan Song, Shuang Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang
2025	J	`jnl`	ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling. CoRR Jianghao Lin, Yuanyuan Shi, Xin Peng, Renjie Ding, Hairui Wang, Yuxuan Peng, Bizhe Bai, Weixi Song, Fengshuo Bai, Huacan Chai, Weinan Zhang, Fei Huang, Ying Wen
2025	A	`conf`	Unlocking the Potential of Decentralized LLM-based MAS: Privacy Preservation and Monetization in Collective Intelligence. AAMAS Yingxuan Yang, Qiuying Peng, Jun Wang, Ying Wen, Weinan Zhang
2024	J	`jnl`	AceMap: Knowledge Discovery through Academic Graph. CoRR Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou
2024	A*	`conf`	Aligning Individual and Collective Objectives in Multi-Agent Cooperation. NeurIPS Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
2024	J	`jnl`	Aligning Individual and Collective Objectives in Multi-Agent Cooperation. CoRR Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
2024	A*	`conf`	AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. ICML Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang
2024	J	`jnl`	Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games. CoRR Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen
2024	J	`jnl`	Conflux-PSRO: Effectively Leveraging Collective Advantages in Policy Space Response Oracles. CoRR Yucong Huang, Jiesong Lian, Mingzhi Wang, Chengdong Ma, Ying Wen
2024	J	`jnl`	Cross-Utterance Conditioned VAE for Speech Generation. IEEE ACM Trans. Audio Speech Lang. Process. Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun
2024	A*	`conf`	DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. ICML Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024	J	`jnl`	DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. CoRR Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024	J	`jnl`	Efficient Model-agnostic Alignment via Bayesian Persuasion. CoRR Fengshuo Bai, Mingzhi Wang, Zhaowei Zhang, Boyuan Chen, Yinda Xu, Ying Wen, Yaodong Yang
2024	J	`jnl`	Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation. CoRR Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han
2024	J	`jnl`	Entropy-Regularized Token-Level Policy Optimization for Large Language Models. CoRR Muning Wen, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen
2024	J	`jnl`	Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles. CoRR Jiesong Lian, Yucong Huang, Mingzhi Wang, Chengdong Ma, Yixue Hao, Ying Wen, Yaodong Yang
2024	J	`jnl`	HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit. CoRR Yang Li, Dengyu Zhang, Junfan Chen, Ying Wen, Qingrui Zhang, Shaoshuai Mou, Wei Pan
2024	J	`jnl`	Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. CoRR Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen
2024	J	`jnl`	Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task. CoRR Shao Zhang, Xihuai Wang, Wenhao Zhang, Yongshan Chen, Landi Gao, Dakuo Wang, Weinan Zhang, Xinbing Wang, Ying Wen
2024	J	`jnl`	Natural Language Reinforcement Learning. CoRR Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang
2024	J	`jnl`	Natural Language Reinforcement Learning. CoRR Xidong Feng, Ziyu Wan, Haotian Fu, Bo Liu, Mengyue Yang, Girish A. Koushik, Zhiyuan Hu, Ying Wen, Jun Wang
2024	J	`jnl`	Offline Fictitious Self-Play for Competitive Games. CoRR Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen
2024	J	`jnl`	OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. CoRR Jun Wang, Meng Fang, Ziyu Wan, Muning Wen, Jiachen Zhu, Anjie Liu, Ziqin Gong, Yan Song, Lei Chen, Lionel M. Ni, Linyi Yang, Ying Wen, Weinan Zhang
2024	J	`jnl`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. CoRR Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2024	A*	`conf`	Reinforcing LLM Agents via Policy Optimization with Action Decomposition. NeurIPS Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen
2024	J	`jnl`	Reinforcing Language Agents via Policy Optimization with Action Decomposition. CoRR Muning Wen, Ziyu Wan, Weinan Zhang, Jun Wang, Ying Wen
2024	J	`jnl`	Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang
2024	A*	`conf`	TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. SIGIR Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang
2024	J	`jnl`	TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. CoRR Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang
2024	J	`jnl`	Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. J. Artif. Intell. Res. Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2024	A*	`conf`	ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. NeurIPS Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang
2023	—	`conf`	Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios. DAI Xinyuan Wu, Wentao Dong, Hang Lai, Yong Yu, Ying Wen
2023	J	`jnl`	Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios. CoRR Xinyuan Wu, Wentao Dong, Hang Lai, Yong Yu, Ying Wen
2023	J	`jnl`	Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang
2023	J	`jnl`	Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. CoRR Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan
2023	A*	`conf`	Cooperative Open-ended Learning Framework for Zero-Shot Coordination. ICML Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2023	J	`jnl`	Cooperative Open-ended Learning Framework for Zero-shot Coordination. CoRR Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2023	J	`jnl`	Cross-Utterance Conditioned VAE for Speech Generation. CoRR Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun
2023	—	`conf`	DCAC: Reducing Unnecessary Conservatism in Offline-to-online Reinforcement Learning. DAI Dongxiang Chen, Ying Wen
2023	A*	`conf`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	J	`jnl`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	J	`jnl`	Large Sequence Models for Sequential Decision-Making: A Survey. CoRR Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
2023	J	`jnl`	Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
2023	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
2023	J	`jnl`	Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
2023	A*	`conf`	Order Matters: Agent-by-agent Policy Optimization. ICLR Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
2023	J	`jnl`	Order Matters: Agent-by-agent Policy Optimization. CoRR Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
2023	J	`jnl`	Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners. CoRR Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang
2023	J	`jnl`	Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. CoRR Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2022	—	`conf`	A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang
2022	—	`conf`	Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. ACL (1) Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang
2022	J	`jnl`	Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. CoRR Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang
2022	J	`jnl`	DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance. CoRR Shao Zhang, Yuting Jia, Hui Xu, Ying Wen, Dakuo Wang, Xinbing Wang
2022	J	`jnl`	Efficient Policy Space Response Oracles. CoRR Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu
2022	A*	`conf`	Greedy when Sure and Conservative when Uncertain about the Opponents. ICML Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang
2022	J	`jnl`	Investigating the geometric structure of neural activation spaces with convex hull approximations. Neurocomputing Yuting Jia, Shao Zhang, Haiwen Wang, Ying Wen, Luoyi Fu, Huan Long, Xinbing Wang, Chenghu Zhou
2022	J	`jnl`	KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction. CoRR Shao Zhang, Yuting Jia, Hui Xu, Dakuo Wang, Toby Jia-Jun Li, Ying Wen, Xinbing Wang, Chenghu Zhou
2022	J	`jnl`	Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. CoRR Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2022	J	`jnl`	Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. IEEE Trans. Wirel. Commun. Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2022	A*	`conf`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. NeurIPS Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	J	`jnl`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	J	`jnl`	On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. CoRR Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang
2022	A*	`conf`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. ICLR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
2021	J	`jnl`	A Game-Theoretic Approach to Multi-Agent Trust Region Optimization. CoRR Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang
2021	J	`jnl`	Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang
2021	A	`conf`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. AAMAS Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	J	`jnl`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. CoRR Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	A*	`conf`	Learning in Nonzero-Sum Stochastic Games with Potentials. ICML David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	B	`conf`	MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization. GLOBECOM Yang Li, Fanglei Sun, Weiqin Zu, Wenbin Song, Ying Wen, Jun Wang, Yang Yang, Kai Li, Liantao Wu
2021	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
2021	A*	`conf`	Modelling Behavioural Diversity for Learning in Open-Ended Games. ICML Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang
2021	A*	`conf`	Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
2021	J	`jnl`	Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. CoRR Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu
2021	—	`conf`	Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. ICC Yang Li, Fanglei Sun, Wenbin Song, Ying Wen, Kai Li, Jun Wang, Yang Yang
2021	A*	`conf`	Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. NeurIPS Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang
2021	J	`jnl`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. CoRR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
2021	J	`jnl`	Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. CoRR Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu
2020	—	`—`	Modeling mutual influence in multi-agent reinforcement learning. Ying Wen
2020	A*	`conf`	Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. IJCAI Ying Wen, Yaodong Yang, Jun Wang
2020	A*	`conf`	Multi-Agent Determinantal Q-Learning. ICML Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
2020	J	`jnl`	Multi-Agent Determinantal Q-Learning. CoRR Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang
2020	Misc	`conf`	SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL Ming Zhou, Jun Luo, Julian Villela, 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 M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. 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
2020	J	`jnl`	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
2019	A*	`conf`	A Regularized Opponent Model with Maximum Entropy Objective. IJCAI Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang
2019	J	`jnl`	A Regularized Opponent Model with Maximum Entropy Objective. CoRR Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang
2019	—	`conf`	Factorized Q-learning for large-scale multi-agent systems. DAI Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang
2019	J	`jnl`	Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents. CoRR Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State
2019	—	`conf`	Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. ICDM Workshops Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State
2019	J	`jnl`	Multi-Agent Generalized Recursive Reasoning. CoRR Ying Wen, Yaodong Yang, Rui Lu, Jun Wang
2019	—	`conf`	Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. ICLR (Poster) Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan
2019	J	`jnl`	Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. CoRR Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan
2018	A	`conf`	A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang
2018	J	`jnl`	Factorized Q-Learning for Large-Scale Multi-Agent Systems. CoRR Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu
2017	J	`jnl`	An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. CoRR Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu
2017	J	`jnl`	Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. CoRR Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li
2017	J	`jnl`	Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games. CoRR Peng Peng, Quan Yuan, Ying Wen, Yaodong Yang, Zhenkun Tang, Haitao Long, Jun Wang
2016	J	`jnl`	Learning text representation using recurrent convolutional neural network with highway layers. CoRR Ying Wen, Weinan Zhang, Rui Luo, Jun Wang
2016	A*	`conf`	Product-Based Neural Networks for User Response Prediction. ICDM Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
2016	J	`jnl`	Product-based Neural Networks for User Response Prediction. CoRR Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang