Zhiwei Xu
22 papers · 2022–2026 · 9 conferences · across top CS/AI conferences
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Keywords
multi-agent reinforcement learning
(6)
large language model
(4)
value decomposition
(3)
cooperative multi-agent
(3)
credit assignment
(2)
cooperative learning
(2)
multi-agent system
(2)
imitation learning
(1)
sequential decision-making
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contrastive learning
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uncertainty quantification
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mathematical reasoning
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policy learning
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consensus learning
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image retrieval
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variational inference
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adversarial robustness
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label noise
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model-based reinforcement learning
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message passing
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Papers
Graph of Verification: Structured Verification of LLM Reasoning with Directed Acyclic Graphs
AAAI 2026
Reinforced Efficient Reasoning via Semantically Diverse Exploration
ACL 2026
ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
AAAI 2026
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
AAAI 2026
DAA*: Deep Angular A Star for Image-based Path Planning
ICCV 2025
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition
AAAI 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
AAAI 2025
SLIM: Subtrajectory-Level Elimination for More Effective Reasoning
EMNLP 2025
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
EMNLP 2025
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
ICLR 2025
Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning
ICML 2025
Adversarial Purification with the Manifold Hypothesis
AAAI 2024
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
ICLR 2024
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
ICLR 2024
Vision Transformer with High Spatial Structure Sensitivity
ACML 2024
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
ICML 2024
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
AAAI 2023
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
NIPS 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
IJCAI 2023
Rethinking Label Refurbishment: Model Robustness under Label Noise
AAAI 2023
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
NIPS 2022