Zhiwei Xu
Orcid: 0000-0002-0754-5295Affiliations:
- Chinese Academy of Sciences, Institute of Automation, Beijing, China
- University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
According to our database1,
Zhiwei Xu authored at least 42 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on xuleek.tech
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2026
Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering.
CoRR, January, 2026
An evolutionary reinforcement learning framework for joint work package sizing and scheduling with uncertainties.
Eur. J. Oper. Res., 2026
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
Graph of Verification: Structured Verification of LLM Reasoning with Directed Acyclic Graphs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence.
CoRR, April, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025
Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2024
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning.
CoRR, 2024
Decentralized Extension for Centralized Multi-Agent Reinforcement Learning via Online Distillation.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
Style Miner: Find Significant and Stable Factors in Time Series with Constrained Reinforcement Learning.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.
CoRR, 2023
CoRR, 2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems.
CoRR, 2023
From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL.
CoRR, 2023
Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.
CoRR, 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network.
CoRR, 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021