Yihe Zhou

Orcid: 0009-0004-2595-6743

According to our database1, Yihe Zhou authored at least 12 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL.
CoRR, May, 2025

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations.
CoRR, February, 2025

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

CADP: Towards Better Centralized Learning for Decentralized Execution in MARL.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Advantage-Aware Policy Optimization for Offline Reinforcement Learning.
CoRR, 2024

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
CoRR, 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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