Wenhao Li

Orcid: 0000-0003-2985-1098

Affiliations:

Tongji University, School of Software Engineering, Shanghai, China
Chinese University of Hong Kong Shenzhen (CUHK-SZ), School of Data Science, Shenzhen, China (former)
East China Normal University, School of Computer Science and Technology, Shanghai, China (PhD 2022)

According to our database¹, Wenhao Li authored at least 58 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, July, 2025

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration.

[BibT_eX]

[DOI]

CoRR, July, 2025

SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence.

[BibT_eX]

[DOI]

CoRR, June, 2025

Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents.

[BibT_eX]

[DOI]

CoRR, June, 2025

Information Bargaining: Bilateral Commitment in Bayesian Persuasion.

[BibT_eX]

[DOI]

CoRR, June, 2025

TextAtari: 100K Frames Game Playing with Language Agents.

[BibT_eX]

[DOI]

CoRR, June, 2025

Agentic Episodic Control.

[BibT_eX]

[DOI]

CoRR, June, 2025

Reinforced Reasoning for Embodied Planning.

[BibT_eX]

[DOI]

CoRR, May, 2025

Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding.

[BibT_eX]

[DOI]

CoRR, May, 2025

Learning Virtual Machine Scheduling in Cloud Computing through Language Agents.

[BibT_eX]

[DOI]

CoRR, May, 2025

Offline Multi-agent Reinforcement Learning via Score Decomposition.

[BibT_eX]

[DOI]

CoRR, May, 2025

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows.

[BibT_eX]

[DOI]

CoRR, May, 2025

Interpretable Hybrid-Rule Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, April, 2025

Scalable Reinforcement Learning for Virtual Machine Scheduling.

[BibT_eX]

[DOI]

CoRR, March, 2025

GraphThought: Graph Combinatorial Optimization with Thought Generation.

[BibT_eX]

[DOI]

CoRR, February, 2025

A Survey of Automatic Prompt Engineering: An Optimization Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2025

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review.

[BibT_eX]

[DOI]

CoRR, February, 2025

SkyRover: A Modular Simulator for Cross-Domain Pathfinding.

[BibT_eX]

[DOI]

CoRR, February, 2025

TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model.

[BibT_eX]

[DOI]

CoRR, February, 2025

Verbalized Bayesian Persuasion.

[BibT_eX]

[DOI]

CoRR, February, 2025

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Multi-Agent Credit Assignment with Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Training Long-Context LLMs Efficiently via Chunk-wise Optimization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Complementary information mutual learning for multimodality medical image segmentation.

[BibT_eX]

[DOI]

Neural Networks, 2024

Interactive 3D Medical Image Segmentation with SAM 2.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.

[BibT_eX]

[DOI]

CoRR, 2024

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Carbon Market Simulation with Adaptive Mechanism Design.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Efficient Planning with Latent Diffusion.

[BibT_eX]

[DOI]

Wenhao Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Interactive medical image segmentation with self-adaptive confidence calibration.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., September, 2023

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym.

[BibT_eX]

[DOI]

CoRR, 2023

Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Roles with Emergent Social Value Orientations.

[BibT_eX]

[DOI]

CoRR, 2023

Information Design in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Diffusion for Offline Decision Making.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Diverse Policy Optimization for Structured Action Space.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Model-Based Reinforcement Learning for Auto-bidding in Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning structured communication for multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2022

VMAgent: A Practical Virtual Machine Scheduling Platform.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Agent Path Finding with Prioritized Communication Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

2021

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

VMAgent: Scheduling Simulator for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration.

[BibT_eX]

[DOI]

CoRR, 2021

Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition.

[BibT_eX]

[DOI]

CoRR, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning.

[BibT_eX]

[DOI]

CoRR, 2021

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Hyper-Meta Reinforcement Learning with Sparse Reward.

[BibT_eX]

[DOI]

CoRR, 2020

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Wenhao Li

Bo Jin

Xiangfeng Wang

Proceedings of the Database Systems for Advanced Applications, 2019

Wenhao Li

Timeline

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