Wan, Guancheng

33 publications

ICML 2025 $S^2$FGL: Spatial Spectral Federated Graph Learning Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye

IJCAI 2025 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

ICML 2025 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

ICLR 2025 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

NeurIPS 2025 DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning Yueyang Yuan, Wenke Huang, Guancheng Wan, Kaiqi Guan, He Li, Mang Ye

ICML 2025 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

NeurIPS 2025 Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models Zitong Shi, Guancheng Wan, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang

ICML 2025 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

ICML 2025 EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph Guancheng Wan, Zewen Liu, Xiaojun Shan, Max Sy Lau, B. Aditya Prakash, Wei Jin

CVPR 2025 EMOE: Modality-Specific Enhanced Dynamic Emotion Experts Yiyang Fang, Wenke Huang, Guancheng Wan, Kehua Su, Mang Ye

ICLR 2025 Energy-Based Backdoor Defense Against Federated Graph Learning Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye

ICML 2025 FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye

CVPR 2025 FedSPA: Generalizable Federated Graph Learning Under Homophily Heterogeneity Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye

ICML 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye

NeurIPS 2025 Flow Field Reconstruction with Sensor Placement Policy Learning Ruoyan Li, Guancheng Wan, Zijie Huang, Zixiao Liu, Haixin Wang, Xiao Luo, Wei Wang, Yizhou Sun

ICML 2025 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

ICLRW 2025 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

NeurIPS 2025 G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Guibin Zhang, Muxin Fu, Kun Wang, Guancheng Wan, Miao Yu, Shuicheng Yan

ICML 2025 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

NeurIPS 2025 HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning Guancheng Wan, Xiaoran Shang, Yuxin Wu, Guibin Zhang, Jinhe Bi, Liangtao Zheng, Xin Lin, Yue Liu, Yanbiao Ma, Wenke Huang, Bo Du

AAAI 2025 Label-Free Backdoor Attacks in Vertical Federated Learning Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye

ICML 2025 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

CVPR 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye

NeurIPS 2025 MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning Guancheng Wan, Fengyuan Ran, Ruikang Zhang, Wenke Huang, Xuankun Rong, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye

NeurIPS 2025 Multi-Order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning Guancheng Wan, Xu Cheng, Run Liu, Wenke Huang, Zitong Shi, Pinyi Jin, Guibin Zhang, Bo Du, Mang Ye

NeurIPS 2025 OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration Guancheng Wan, Jiaru Qian, Wenke Huang, Qilin Xu, Xianda Guo, Boheng Li, Guibin Zhang, Bo Du, Mang Ye

ICML 2025 Rethink GraphODE Generalization Within Coupled Dynamical System Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang

ICML 2025 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

NeurIPS 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye

AAAI 2024 Federated Graph Learning Under Domain Shift with Generalizable Prototypes Guancheng Wan, Wenke Huang, Mang Ye

NeurIPS 2024 Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du

ICML 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V Chawla, Mang Ye

IJCAI 2023 Federated Graph Semantic and Structural Learning Wenke Huang, Guancheng Wan, Mang Ye, Bo Du