Tonghan Wang - RankMe

53 papers A* 17A 3Journal 32Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM Active Alignment: A Nash Equilibrium Perspective. CoRR Tonghan Wang, Yuqi Pan, Xinyi Yang, Yanchen Jiang, Milind Tambe, David C. Parkes
2025	J	`jnl`	Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing. CoRR Davin Choo, Yuqi Pan, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson
2025	J	`jnl`	BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization. CoRR Tonghan Wang, Yanchen Jiang, David C. Parkes
2025	J	`jnl`	Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang
2025	J	`jnl`	Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data. CoRR Lingkai Kong, Haichuan Wang, Tonghan Wang, Guojun Xiong, Milind Tambe
2025	A	`conf`	On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow. AAMAS Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2025	J	`jnl`	Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards. CoRR Xinyi Yang, Liang Zeng, Heng Dong, Chao Yu, Xiaoran Wu, Huazhong Yang, Yu Wang, Milind Tambe, Tonghan Wang
2025	A	`conf`	Robust Optimization with Diffusion Models for Green Security. UAI Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
2025	J	`jnl`	Robust Optimization with Diffusion Models for Green Security. CoRR Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
2025	A*	`conf`	The Bandit Whisperer: Communication Learning for Restless Bandits. AAAI Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe
2024	A*	`conf`	GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning. EC Tonghan Wang, Yanchen Jiang, David C. Parkes
2024	J	`jnl`	GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning. CoRR Tonghan Wang, Yanchen Jiang, David C. Parkes
2024	J	`jnl`	Multi-Sender Persuasion - A Computational Perspective. CoRR Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu
2024	A*	`conf`	Multi-Sender Persuasion: A Computational Perspective. ICML Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu
2024	J	`jnl`	Multi-agent policy transfer via task relationship modeling. Sci. China Inf. Sci. Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Yipeng Kang, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2024	J	`jnl`	On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow. CoRR Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2024	A*	`conf`	Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. ICML Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024	J	`jnl`	Principal-Agent Reinforcement Learning. CoRR Dima Ivanov, Paul Dütting, Inbal Talgam-Cohen, Tonghan Wang, David C. Parkes
2024	J	`jnl`	Social Environment Design. CoRR Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024	J	`jnl`	The Bandit Whisperer: Communication Learning for Restless Bandits. CoRR Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe
2023	A*	`conf`	Deep Contract Design via Discontinuous Networks. NeurIPS Tonghan Wang, Paul Duetting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes
2023	J	`jnl`	Deep Contract Design via Discontinuous Piecewise Affine Neural Networks. CoRR Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes
2023	J	`jnl`	Never Explore Repeatedly in Multi-Agent Reinforcement Learning. CoRR Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao
2023	A*	`conf`	Symmetry-Aware Robot Design with Structured Subgroups. ICML Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
2023	J	`jnl`	Symmetry-Aware Robot Design with Structured Subgroups. CoRR Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
2022	A*	`conf`	Context-Aware Sparse Deep Coordination Graphs. ICLR Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
2022	A*	`conf`	Low-Rank Modular Reinforcement Learning via Muscle Synergy. NeurIPS Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
2022	J	`jnl`	Low-Rank Modular Reinforcement Learning via Muscle Synergy. CoRR Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
2022	J	`jnl`	Multi-Agent Policy Transfer via Task Relationship Modeling. CoRR Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2022	A*	`conf`	Non-Linear Coordination Graphs. NeurIPS Yipeng Kang, Tonghan Wang, Qianlan Yang, Xiaoran Wu, Chongjie Zhang
2022	J	`jnl`	Non-Linear Coordination Graphs. CoRR Yipeng Kang, Tonghan Wang, Xiaoran Wu, Qianlan Yang, Chongjie Zhang
2022	A*	`conf`	Self-Organized Polynomial-Time Coordination Graphs. ICML Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
2021	J	`jnl`	Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL. CoRR Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
2021	A*	`conf`	Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. NeurIPS Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang
2021	J	`jnl`	Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. CoRR Chenghao Li, Chengjie Wu, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2021	J	`jnl`	Containerized Distributed Value-Based Multi-Agent Reinforcement Learning. CoRR Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang
2021	J	`jnl`	Context-Aware Sparse Deep Coordination Graphs. CoRR Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
2021	A*	`conf`	DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. ICLR Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
2021	A*	`conf`	RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
2021	J	`jnl`	Self-Organized Polynomial-Time Coordination Graphs. CoRR Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
2020	A*	`conf`	Incorporating Pragmatic Reasoning Communication into Emergent Language. NeurIPS Yipeng Kang, Tonghan Wang, Gerard de Melo
2020	J	`jnl`	Incorporating Pragmatic Reasoning Communication into Emergent Language. CoRR Yipeng Kang, Tonghan Wang, Gerard de Melo
2020	A*	`conf`	Influence-Based Multi-Agent Exploration. ICLR Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
2020	A*	`conf`	Learning Nearly Decomposable Value Functions Via Communication Minimization. ICLR Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
2020	J	`jnl`	Off-Policy Multi-Agent Decomposed Policy Gradients. CoRR Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
2020	J	`jnl`	RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
2020	A*	`conf`	ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. ICML Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
2020	J	`jnl`	ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. CoRR Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
2019	A	`conf`	Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. AAMAS Xinliang Song, Tonghan Wang, Chongjie Zhang
2019	J	`jnl`	Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. CoRR Xinliang Song, Tonghan Wang, Chongjie Zhang
2019	J	`jnl`	Influence-Based Multi-Agent Exploration. CoRR Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
2019	J	`jnl`	Learning Nearly Decomposable Value Functions Via Communication Minimization. CoRR Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
2018	—	`conf`	Compact Object Representation of a Non-Rigid Object for Real-Time Tracking in AR Systems. ISMAR Adjunct Tonghan Wang, Xueying Qin, Fan Zhong, Xinmeng Tong, Baoquan Chen, Ming C. Lin