Guancheng Wan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
9
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models. | Wenzheng Jiang, Ke Liang, Xuankun Rong, Jingxuan Zhou, Zhengyi Zhong, Guancheng Wan, Ji Wang |
| 2026 | AAAI | Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense. | Zitong Shi, Guancheng Wan, Wenke Huang, Yuxin Wu, Quan Zhang, Mang Ye |
| 2026 | AAAI | DAWN: Distributed LLM Multi-Agent Workflow Synthesis. | Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang |
| 2026 | AAAI | Domain-Aware Suppression and Aggregation for Federated DG ReID. | Zhixi Yu, Wei Liu, Wenke Huang, Bin Yang, Qian Bie, Guancheng Wan, Xin Xu |
| 2026 | AAAI | Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation. | Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang, Anwen Jiang, Guancheng Wan, Mang Ye |
| 2026 | ACL | Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy. | 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 |
| 2026 | ACL | Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation. | Zeping Li, Guancheng Wan, Keyang Chen, Yu Chen, Yiwen Zhao, Philip Torr, Guangnan Ye, Zhenfei Yin, Hongfeng Chai |
| 2026 | ACL | Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning. | 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 |
| 2026 | KDD | Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics. | Ruoyan Li, Zijie Huang, Haixin Wang, Guancheng Wan, Yizhou Sun, Wei Wang |
| 2026 | KDD | FedPRE: Robust Federated Graph Learning against Topological Corruption. | Zihan Tan, Guancheng Wan, Wenke Huang, Bin Yang, Mang Ye |
| 2026 | WWW | Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding. | Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang |
| 2025 | AAAI | Label-Free Backdoor Attacks in Vertical Federated Learning. | Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye |
| 2025 | ACL | G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems. | Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, Yang Wang |
| 2025 | ACL | MasRouter: Learning to Route LLMs for Multi-Agent Systems. | Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi |
| 2025 | CVPR | LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. | Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye |
| 2025 | CVPR | EMOE: Modality-Specific Enhanced Dynamic Emotion Experts. | Yiyang Fang, Wenke Huang, Guancheng Wan, Kehua Su, Mang Ye |
| 2025 | CVPR | FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. | Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye |
| 2025 | EMNLP | Protein Large Language Models: A Comprehensive Survey. | 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 |
| 2025 | ICLR | Energy-based Backdoor Defense Against Federated Graph Learning. | Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye |
| 2025 | ICLR | Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. | Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen |
| 2025 | ICML | Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning. | Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye |
| 2025 | ICML | Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning. | Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao |
| 2025 | ICML | FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation. | Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye |
| 2025 | ICML | Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models. | Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye |
| 2025 | ICML | GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention. | Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye |
| 2025 | ICML | EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification. | Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye |
| 2025 | ICML | S2FGL: Spatial Spectral Federated Graph Learning. | Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye |
| 2025 | ICML | EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. | Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S. Y. Lau, B. Aditya Prakash, Wei Jin |
| 2025 | ICML | Rethink GraphODE Generalization within Coupled Dynamical System. | Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang |
| 2025 | ICML | Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation. | Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye |
| 2025 | ICML | Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning. | Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan, Yingwen Chen, Zhiping Cai |
| 2025 | ICML | G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. | Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng |
| 2025 | IJCAI | An Empirical Study of Federated Prompt Learning for Vision Language Model. | Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2024 | AAAI | Federated Graph Learning under Domain Shift with Generalizable Prototypes. | Guancheng Wan, Wenke Huang, Mang Ye |
| 2024 | ICML | S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. | Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye |
| 2024 | KDD | A Review of Graph Neural Networks in Epidemic Modeling. | Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin |
| 2023 | IJCAI | Federated Graph Semantic and Structural Learning. | Wenke Huang, Guancheng Wan, Mang Ye, Bo Du |