Wenhao Li - RankMe

87 papers A* 11A 8Journal 62Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization. CoRR Jiehao Wu, Zixiao Huang, Wenhao Li, Chuyun Shen, Junjie Sheng, Xiangfeng Wang
2026	J	`jnl`	Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning. CoRR Dan Qiao, Binbin Chen, Fengyu Cai, Jianlong Chen, Wenhao Li, Fuxin Jiang, Zuzhi Chen, Hongyuan Zha, Tieying Zhang, Baoxiang Wang
2026	J	`jnl`	It Takes Two to Tango: A Holistic Simulator for Joint Order Scheduling and Multi-Agent Path Finding in Robotic Warehouses. CoRR Haozheng Xu, Wenhao Li, Zifan Wei, Bo Jin, Hongxing Bai, Ben Yang, Xiangfeng Wang
2026	J	`jnl`	Learning Roles With Emergent Social Value Orientations. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2026	J	`jnl`	Out of the Memory Barrier: A Highly Memory Efficient Training System for LLMs with Million-Token Contexts. CoRR Wenhao Li, Daohai Yu, Gen Luo, Yuxin Zhang, Fei Chao, Rongrong Ji, Yifan Wu, Jiaxin Liu, Ziyang Gong, Zimu Liao
2026	J	`jnl`	See, Plan, Snap: Evaluating Multimodal GUI Agents in Scratch. CoRR Xingyi Zhang, Yulei Ye, Kaifeng Huang, Wenhao Li, Xiangfeng Wang
2026	J	`jnl`	Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents. CoRR Shuhui Zhu, Yue Lin, Shriya Kaistha, Wenhao Li, Baoxiang Wang, Hongyuan Zha, Gillian K. Hadfield, Pascal Poupart
2025	J	`jnl`	A Survey of Automatic Prompt Engineering: An Optimization Perspective. CoRR Wenwu Li, Xiangfeng Wang, Wenhao Li, Bo Jin
2025	J	`jnl`	Agentic Episodic Control. CoRR Xidong Yang, Wenhao Li, Junjie Sheng, Chuyun Shen, Yun Hua, Xiangfeng Wang
2025	J	`jnl`	Differentiable Adaptive Kalman Filtering via Optimal Transport. CoRR Yangguang He, Wenhao Li, Minzhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin
2025	A	`conf`	Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning. AAMAS Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang
2025	J	`jnl`	Epitome: Pioneering an Experimental Platform for AI-Social Science Integration. CoRR Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evans
2025	J	`jnl`	Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. CoRR Di Wu, Xian Wei, Guang Chen, Hao Shen, Xiangfeng Wang, Wenhao Li, Bo Jin
2025	J	`jnl`	GraphThought: Graph Combinatorial Optimization with Thought Generation. CoRR Zixiao Huang, Lifeng Guo, Junjie Sheng, Haosheng Chen, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025	J	`jnl`	Information Bargaining: Bilateral Commitment in Bayesian Persuasion. CoRR Yue Lin, Shuhui Zhu, William A. Cunningham, Wenhao Li, Pascal Poupart, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency. CoRR Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, Jingjing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Zhi Hou, Haoran Hao, Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo
2025	—	`conf`	Interpretable Hybrid-Rule Temporal Point Processes. ECML/PKDD (3) Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin
2025	J	`jnl`	Interpretable Hybrid-Rule Temporal Point Processes. CoRR Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin
2025	J	`jnl`	Learning Virtual Machine Scheduling in Cloud Computing through Language Agents. CoRR Jiehao Wu, Ziwei Wang, Junjie Sheng, Wenhao Li, Xiangfeng Wang, Jun Luo
2025	J	`jnl`	MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes. CoRR Yunyang Cao, Juekai Lin, Wenhao Li, Bo Jin
2025	J	`jnl`	MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites. CoRR Zhenxin Lei, Zhangwei Gao, Changyao Tian, Erfei Cui, Guanzhou Chen, Danni Yang, Yuchen Duan, Zhaokai Wang, Wenhao Li, Weiyun Wang, Xiangyu Zhao, Jiayi Ji, Yu Qiao, Wenhai Wang, Gen Luo
2025	J	`jnl`	Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models. CoRR Gen Luo, Wenhan Dou, Wenhao Li, Zhaokai Wang, Xue Yang, Changyao Tian, Hao Li, Weiyun Wang, Wenhai Wang, Xizhou Zhu, Yu Qiao, Jifeng Dai
2025	A	`conf`	Multi-Agent Credit Assignment with Pretrained Language Models. AISTATS Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha
2025	A	`conf`	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. AAMAS Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2025	J	`jnl`	Offline Multi-agent Reinforcement Learning via Score Decomposition. CoRR Dan Qiao, Wenhao Li, Shanchao Yang, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows. CoRR Wenhao Li, Bo Jin, Mingyi Hong, Changhong Lu, Xiangfeng Wang
2025	J	`jnl`	Policy-Conditioned Policies for Multi-Agent Task Solving. CoRR Yue Lin, Shuhui Zhu, Wenhao Li, Ang Li, Dan Qiao, Pascal Poupart, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	Reinforced Reasoning for Embodied Planning. CoRR Di Wu, Jiaxin Fan, Junzhe Zang, Guanbo Wang, Wei Yin, Wenhao Li, Bo Jin
2025	A*	`conf`	Reward Translation via Reward Machine in Semi-Alignable MDPs. ICML Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang
2025	J	`jnl`	Scalable Reinforcement Learning for Virtual Machine Scheduling. CoRR Junjie Sheng, Jiehao Wu, Haochuan Cui, Yiqiu Hu, Wenli Zhou, Lei Zhu, Qian Peng, Wenhao Li, Xiangfeng Wang
2025	J	`jnl`	Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents. CoRR Yun Hua, Haosheng Chen, Shiqin Wang, Wenhao Li, Xiangfeng Wang, Jun Luo
2025	A*	`conf`	SkyRover: A Modular Simulator for Cross-Domain Pathfinding. IJCAI Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025	J	`jnl`	SkyRover: A Modular Simulator for Cross-Domain Pathfinding. CoRR Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025	J	`jnl`	SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence. CoRR Ziyang Gong, Wenhao Li, Oliver Ma, Songyuan Li, Jiayi Ji, Xue Yang, Gen Luo, Junchi Yan, Rongrong Ji
2025	J	`jnl`	Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval. CoRR Wenhao Li, Yuxin Zhang, Gen Luo, Haiyuan Wan, Ziyang Gong, Fei Chao, Rongrong Ji
2025	J	`jnl`	TextAtari: 100K Frames Game Playing with Language Agents. CoRR Wenhao Li, Wenwu Li, Chuyun Shen, Junjie Sheng, Zixiao Huang, Di Wu, Yun Hua, Wei Yin, Xiangfeng Wang, Hongyuan Zha, Bo Jin
2025	J	`jnl`	TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model. CoRR Yangguang He, Wenhao Li, Minzhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin
2025	—	`conf`	Training Long-Context LLMs Efficiently via Chunk-wise Optimization. ACL (Findings) Wenhao Li, Yuxin Zhang, Gen Luo, Daohai Yu, Rongrong Ji
2025	J	`jnl`	Training Long-Context LLMs Efficiently via Chunk-wise Optimization. CoRR Wenhao Li, Yuxin Zhang, Gen Luo, Daohai Yu, Rongrong Ji
2025	J	`jnl`	Verbalized Bayesian Persuasion. CoRR Wenhao Li, Yue Lin, Xiangfeng Wang, Bo Jin, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding. CoRR Shiyue Wang, Haozheng Xu, Yuhan Zhang, Jingran Lin, Changhong Lu, Xiangfeng Wang, Wenhao Li
2024	A*	`conf`	Carbon Market Simulation with Adaptive Mechanism Design. IJCAI Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2024	J	`jnl`	Carbon Market Simulation with Adaptive Mechanism Design. CoRR Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2024	J	`jnl`	Complementary Information Mutual Learning for Multimodality Medical Image Segmentation. CoRR Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin
2024	J	`jnl`	Complementary information mutual learning for multimodality medical image segmentation. Neural Networks Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin
2024	A*	`conf`	Efficient Planning with Latent Diffusion. ICLR Wenhao Li
2024	J	`jnl`	Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. CoRR Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He
2024	J	`jnl`	Interactive 3D Medical Image Segmentation with SAM 2. CoRR Chuyun Shen, Wenhao Li, Yuhang Shi, Xiangfeng Wang
2024	—	`conf`	Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning. MICCAI (8) Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai
2023	J	`jnl`	Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym. CoRR Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang
2023	A	`conf`	Diverse Policy Optimization for Structured Action Space. AAMAS Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha
2023	J	`jnl`	Diverse Policy Optimization for Structured Action Space. CoRR Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha
2023	J	`jnl`	Efficient Planning with Latent Diffusion. CoRR Wenhao Li
2023	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2023	A*	`conf`	Hierarchical Diffusion for Offline Decision Making. ICML Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2023	A*	`conf`	Information Design in Multi-Agent Reinforcement Learning. NeurIPS Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2023	J	`jnl`	Information Design in Multi-Agent Reinforcement Learning. CoRR Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2023	J	`jnl`	Interactive medical image segmentation with self-adaptive confidence calibration. Frontiers Inf. Technol. Electron. Eng. Chuyun Shen, Wenhao Li, Qisen Xu, Bin Hu, Bo Jin, Haibin Cai, Fengping Zhu, Yuxin Li, Xiangfeng Wang
2023	A	`conf`	Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. AAMAS Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023	J	`jnl`	Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. CoRR Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023	J	`jnl`	Learning Roles with Emergent Social Value Orientations. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2023	A	`conf`	Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
2023	A	`conf`	Model-Based Reinforcement Learning for Auto-bidding in Display Advertising. AAMAS Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li, Linjian Mo
2023	J	`jnl`	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2023	J	`jnl`	Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2023	—	`conf`	Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation. BIBM Chuyun Shen, Wenhao Li, Ya Zhang, Yanfeng Wang, Xiangfeng Wang
2023	J	`jnl`	Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation. CoRR Chuyun Shen, Wenhao Li, Ya Zhang, Xiangfeng Wang
2022	A*	`conf`	Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. ICLR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2022	J	`jnl`	Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2022	A*	`conf`	Multi-Agent Path Finding with Prioritized Communication Learning. ICRA Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022	J	`jnl`	Multi-Agent Path Finding with Prioritized Communication Learning. CoRR Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022	J	`jnl`	Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha
2022	A*	`conf`	VMAgent: A Practical Virtual Machine Scheduling Platform. IJCAI Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2022	—	`conf`	Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition. DASFAA (Workshops) Ting Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang
2021	J	`jnl`	Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2021	J	`jnl`	Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. IEEE Trans. Cybern. Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li
2021	A*	`conf`	HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2021	J	`jnl`	Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration. CoRR Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, Xiangfeng Wang
2021	A	`conf`	Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. AAMAS Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021	J	`jnl`	Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021	J	`jnl`	VMAgent: Scheduling Simulator for Reinforcement Learning. CoRR Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2020	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. CoRR Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2020	J	`jnl`	Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2020	A*	`conf`	Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. CVPR Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2020	J	`jnl`	Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2019	J	`jnl`	Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning. CoRR Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang
2019	—	`conf`	SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning. DASFAA Workshops Wenhao Li, Bo Jin, Xiangfeng Wang