Guancheng Wan

Venues

Frequent coauthors

Papers

1. Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation
   ACL 2026 ·

   Zeping Li

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2. DAWN: Distributed LLM Multi-Agent Workflow Synthesis
   AAAI 2026 · Guancheng Wan
3. Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
   AAAI 2026 ·

   Xingyue Zhao

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4. Domain-Aware Suppression and Aggregation for Federated DG ReID
   AAAI 2026 ·

   Zhixi Yu

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5. FedPRE: Robust Federated Graph Learning against Topological Corruption
   SIGKDD 2026 ·

   Zihan Tan

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6. Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
   ACL 2026 ·

   Eric Hanchen Jiang

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7. PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models
   AAAI 2026 ·

   Wenzheng Jiang

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8. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
   ACL 2026 ·

   Zelin Tan

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9. Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics
   SIGKDD 2026 ·

   Ruoyan Li

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10. Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
    AAAI 2026 ·

    Zitong Shi

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11. Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding
    WWW 2026 ·

    Wenzheng Jiang

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12. An Empirical Study of Federated Prompt Learning for Vision Language Model
    IJCAI 2025 ·

    Zhihao Wang

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13. Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
    ICML 2025 ·

    Wenke Huang

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14. Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
    ICLR 2025 ·

    Guibin Zhang

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15. Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
    ICML 2025 ·

    Hui Zeng

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16. EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
    ICML 2025 ·

    Zitong Shi

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17. EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
    ICML 2025 · Guancheng Wan
18. EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
    CVPR 2025 ·

    Yiyang Fang

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19. Energy-based Backdoor Defense Against Federated Graph Learning
    ICLR 2025 · Guancheng Wan
20. FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
    SIGKDD 2025 ·

    Carl Yang

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21. FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
    ICML 2025 ·

    Chengying Fang

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22. FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
    CVPR 2025 ·

    Zihan Tan

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23. Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
    ICML 2025 ·

    Yihao Yang

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24. Flow Field Reconstruction with Sensor Placement Policy Learning
    NeurIPS 2025 ·

    Ruoyan Li

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25. G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
    ICML 2025 ·

    Guibin Zhang

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26. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
    ACL 2025 ·

    Shilong Wang

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27. GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
    ICML 2025 ·

    Jiaru Qian

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28. Label-Free Backdoor Attacks in Vertical Federated Learning
    AAAI 2025 ·

    Wei Shen

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29. Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
    ICML 2025 ·

    Wenke Huang

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30. LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
    CVPR 2025 ·

    Jian Liang

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31. MasRouter: Learning to Route LLMs for Multi-Agent Systems
    ACL 2025 ·

    Yanwei Yue

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32. Protein Large Language Models: A Comprehensive Survey
    EMNLP 2025 ·

    Yijia Xiao

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33. Rethink GraphODE Generalization within Coupled Dynamical System
    ICML 2025 · Guancheng Wan
34. S2FGL: Spatial Spectral Federated Graph Learning
    ICML 2025 ·

    Zihan Tan

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35. Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
    ICML 2025 ·

    Yangxu Liao

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36. A Review of Graph Neural Networks in Epidemic Modeling
    SIGKDD 2024 ·

    Zewen Liu

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37. FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
    NeurIPS 2024 ·

    Zihan Tan

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38. Federated Graph Learning under Domain Shift with Generalizable Prototypes
    AAAI 2024 · Guancheng Wan
39. Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
    NeurIPS 2024 ·

    Wenke Huang

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40. S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
    ICML 2024 · Guancheng Wan