PPaperPicks

Guancheng Wan

40 papers at tracked venues · 38 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Wenke Huang
×25
Mang Ye
×21
Guibin Zhang
×10
He Li
×6
Bin Yang
×5
Zihan Tan
×4
Yizhou Sun
×4
Wei Wang
×4
Jian Liang
×4
Bo Du
×4
Kun Wang
×4
Ke Liang
×3

Papers

  1. Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation
    ACL 2026 ·
    Zeping Li
    , Guancheng Wan,
    Keyang Chen
    ,
    Yu Chen
    ,
    Yiwen Zhao
    ,
    Philip Torr
    ,
    Guangnan Ye
    ,
    Zhenfei Yin
    ,
    Hongfeng Chai
  2. DAWN: Distributed LLM Multi-Agent Workflow Synthesis
    AAAI 2026 · Guancheng Wan,
    Mo Zhou
    ,
    Ziyi Wang
    ,
    Xiaoran Shang
    ,
    Eric Hanchen Jiang
    ,
    Guibin Zhang
    ,
    Jinhe Bi
    ,
    Yunpu Ma
    ,
    Zaixi Zhang
    ,
    Ke Liang
    ,
    Wenke Huang
  3. Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
    AAAI 2026 ·
    Xingyue Zhao
    ,
    Wenke Huang
    ,
    Xingguang Wang
    ,
    Haoyu Zhao
    ,
    Linghao Zhuang
    ,
    Anwen Jiang
    , Guancheng Wan,
    Mang Ye
  4. Domain-Aware Suppression and Aggregation for Federated DG ReID
    AAAI 2026 ·
    Zhixi Yu
    ,
    Wei Liu
    ,
    Wenke Huang
    ,
    Bin Yang
    ,
    Qian Bie
    , Guancheng Wan,
    Xin Xu
  5. FedPRE: Robust Federated Graph Learning against Topological Corruption
    SIGKDD 2026 ·
    Zihan Tan
    , Guancheng Wan,
    Wenke Huang
    ,
    Bin Yang
    ,
    Mang Ye
  6. Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
    ACL 2026 ·
    Eric Hanchen Jiang
    ,
    Weixuan Ou
    ,
    Run Liu
    ,
    Shengyuan Pang
    , Guancheng Wan,
    Ranjie Duan
    ,
    Wei Dong
    ,
    Kai-Wei Chang
    ,
    Xiaofeng Wang
    ,
    Ying Nian Wu
    ,
    Xinfeng Li
  7. PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models
    AAAI 2026 ·
    Wenzheng Jiang
    ,
    Ke Liang
    ,
    Xuankun Rong
    ,
    Jingxuan Zhou
    ,
    Zhengyi Zhong
    , Guancheng Wan,
    Ji Wang
  8. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
    ACL 2026 ·
    Zelin Tan
    ,
    Hejia Geng
    ,
    Xiaohang Yu
    ,
    Mulei Zhang
    , Guancheng Wan,
    Yifan Zhou
    ,
    Qiang He
    ,
    Xiangyuan Xue
    ,
    Heng Zhou
    ,
    Yutao Fan
    ,
    Zhong-Zhi Li
    ,
    Zaibin Zhang
    ,
    Guibin Zhang
    ,
    Chen Zhang
    ,
    Zhenfei Yin
    ,
    Philip Torr
    ,
    Lei Bai
  9. Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics
    SIGKDD 2026 ·
    Ruoyan Li
    ,
    Zijie Huang
    ,
    Haixin Wang
    , Guancheng Wan,
    Yizhou Sun
    ,
    Wei Wang
  10. Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
    AAAI 2026 ·
    Zitong Shi
    , Guancheng Wan,
    Wenke Huang
    ,
    Yuxin Wu
    ,
    Quan Zhang
    ,
    Mang Ye
  11. Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding
    WWW 2026 ·
    Wenzheng Jiang
    ,
    Ke Liang
    ,
    Wenke Huang
    ,
    Xiongtao Zhang
    ,
    Zhenxing Xu
    , Guancheng Wan,
    Cheston Tan
    ,
    Flint Xiaofeng Fan
    ,
    Ji Wang
  12. An Empirical Study of Federated Prompt Learning for Vision Language Model
    IJCAI 2025 ·
    Zhihao Wang
    ,
    Wenke Huang
    ,
    Tian Chen
    ,
    Zekun Shi
    , Guancheng Wan,
    Yu Qiao
    ,
    Bin Yang
    ,
    Jian Wang
    ,
    Bing Li
    ,
    Mang Ye
  13. Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
    ICML 2025 ·
    Wenke Huang
    ,
    Jian Liang
    , Guancheng Wan,
    Didi Zhu
    ,
    He Li
    ,
    Jiawei Shao
    ,
    Mang Ye
    ,
    Bo Du
    ,
    Dacheng Tao
  14. Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
    ICLR 2025 ·
    Guibin Zhang
    ,
    Yanwei Yue
    ,
    Zhixun Li
    ,
    Sukwon Yun
    , Guancheng Wan,
    Kun Wang
    ,
    Dawei Cheng
    ,
    Jeffrey Xu Yu
    ,
    Tianlong Chen
  15. Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
    ICML 2025 ·
    Hui Zeng
    ,
    Wenke Huang
    ,
    Tongqing Zhou
    ,
    Xinyi Wu
    , Guancheng Wan,
    Yingwen Chen
    ,
    Zhiping Cai
  16. EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
    ICML 2025 ·
    Zitong Shi
    , Guancheng Wan,
    Wenke Huang
    ,
    Guibin Zhang
    ,
    He Li
    ,
    Carl Yang
    ,
    Mang Ye
  17. EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
    ICML 2025 · Guancheng Wan,
    Zewen Liu
    ,
    Xiaojun Shan
    ,
    Max S. Y. Lau
    ,
    B. Aditya Prakash
    ,
    Wei Jin
  18. EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
    CVPR 2025 ·
    Yiyang Fang
    ,
    Wenke Huang
    , Guancheng Wan,
    Kehua Su
    ,
    Mang Ye
  19. Energy-based Backdoor Defense Against Federated Graph Learning
    ICLR 2025 · Guancheng Wan,
    Zitong Shi
    ,
    Wenke Huang
    ,
    Guibin Zhang
    ,
    Dacheng Tao
    ,
    Mang Ye
  20. FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
    SIGKDD 2025 ·
    Carl Yang
    , Guancheng Wan,
    Zhuangdi Zhu
    ,
    Zheng Xu
    ,
    Junyuan Hong
    ,
    Nathalie Baracaldo
    ,
    Neil Shah
    ,
    Salman Avestimehr
    ,
    Jiayu Zhou
  21. FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
    ICML 2025 ·
    Chengying Fang
    ,
    Wenke Huang
    , Guancheng Wan,
    Yihao Yang
    ,
    Mang Ye
  22. FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
    CVPR 2025 ·
    Zihan Tan
    , Guancheng Wan,
    Wenke Huang
    ,
    He Li
    ,
    Guibin Zhang
    ,
    Carl Yang
    ,
    Mang Ye
  23. Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
    ICML 2025 ·
    Yihao Yang
    ,
    Wenke Huang
    , Guancheng Wan,
    Bin Yang
    ,
    Mang Ye
  24. Flow Field Reconstruction with Sensor Placement Policy Learning
    NeurIPS 2025 ·
    Ruoyan Li
    , Guancheng Wan,
    Zijie Huang
    ,
    Zixiao Liu
    ,
    Haixin Wang
    ,
    Xiao Luo
    ,
    Wei Wang
    ,
    Yizhou Sun
  25. G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
    ICML 2025 ·
    Guibin Zhang
    ,
    Yanwei Yue
    ,
    Xiangguo Sun
    , Guancheng Wan,
    Miao Yu
    ,
    Junfeng Fang
    ,
    Kun Wang
    ,
    Tianlong Chen
    ,
    Dawei Cheng
  26. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
    ACL 2025 ·
    Shilong Wang
    ,
    Guibin Zhang
    ,
    Miao Yu
    , Guancheng Wan,
    Fanci Meng
    ,
    Chongye Guo
    ,
    Kun Wang
    ,
    Yang Wang
  27. GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
    ICML 2025 ·
    Jiaru Qian
    , Guancheng Wan,
    Wenke Huang
    ,
    Guibin Zhang
    ,
    Yuxin Wu
    ,
    Bo Du
    ,
    Mang Ye
  28. Label-Free Backdoor Attacks in Vertical Federated Learning
    AAAI 2025 ·
    Wei Shen
    ,
    Wenke Huang
    , Guancheng Wan,
    Mang Ye
  29. Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
    ICML 2025 ·
    Wenke Huang
    ,
    Jian Liang
    ,
    Zekun Shi
    ,
    Didi Zhu
    , Guancheng Wan,
    He Li
    ,
    Bo Du
    ,
    Dacheng Tao
    ,
    Mang Ye
  30. LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
    CVPR 2025 ·
    Jian Liang
    ,
    Wenke Huang
    , Guancheng Wan,
    Qu Yang
    ,
    Mang Ye
  31. MasRouter: Learning to Route LLMs for Multi-Agent Systems
    ACL 2025 ·
    Yanwei Yue
    ,
    Guibin Zhang
    ,
    Boyang Liu
    , Guancheng Wan,
    Kun Wang
    ,
    Dawei Cheng
    ,
    Yiyan Qi
  32. Protein Large Language Models: A Comprehensive Survey
    EMNLP 2025 ·
    Yijia Xiao
    ,
    Wanjia Zhao
    ,
    Junkai Zhang
    ,
    Yiqiao Jin
    ,
    Han Zhang
    ,
    Zhicheng Ren
    ,
    Renliang Sun
    ,
    Haixin Wang
    , Guancheng Wan,
    Pan Lu
    ,
    Xiao Luo
    ,
    Yu Zhang
    ,
    James Zou
    ,
    Yizhou Sun
    ,
    Wei Wang
  33. Rethink GraphODE Generalization within Coupled Dynamical System
    ICML 2025 · Guancheng Wan,
    Zijie Huang
    ,
    Wanjia Zhao
    ,
    Xiao Luo
    ,
    Yizhou Sun
    ,
    Wei Wang
  34. S2FGL: Spatial Spectral Federated Graph Learning
    ICML 2025 ·
    Zihan Tan
    ,
    Suyuan Huang
    , Guancheng Wan,
    Wenke Huang
    ,
    He Li
    ,
    Mang Ye
  35. Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
    ICML 2025 ·
    Yangxu Liao
    ,
    Wenke Huang
    , Guancheng Wan,
    Jian Liang
    ,
    Bin Yang
    ,
    Mang Ye
  36. A Review of Graph Neural Networks in Epidemic Modeling
    SIGKDD 2024 ·
    Zewen Liu
    , Guancheng Wan,
    B. Aditya Prakash
    ,
    Max S. Y. Lau
    ,
    Wei Jin
  37. FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
    NeurIPS 2024 ·
    Zihan Tan
    , Guancheng Wan,
    Wenke Huang
    ,
    Mang Ye
  38. Federated Graph Learning under Domain Shift with Generalizable Prototypes
    AAAI 2024 · Guancheng Wan,
    Wenke Huang
    ,
    Mang Ye
  39. Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
    NeurIPS 2024 ·
    Wenke Huang
    ,
    Mang Ye
    ,
    Zekun Shi
    , Guancheng Wan,
    He Li
    ,
    Bo Du
  40. S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
    ICML 2024 · Guancheng Wan,
    Yijun Tian
    ,
    Wenke Huang
    ,
    Nitesh V. Chawla
    ,
    Mang Ye