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2020 – today
- 2025
[c27]Wei Shen, Wenke Huang, Guancheng Wan
, Mang Ye:
Label-Free Backdoor Attacks in Vertical Federated Learning. AAAI 2025: 20389-20397- [c26]Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, Yang Wang:
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems. ACL (1) 2025: 7261-7276 - [c25]Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi:
MasRouter: Learning to Route LLMs for Multi-Agent Systems. ACL (1) 2025: 15549-15572 - [c24]Yiyang Fang, Wenke Huang, Guancheng Wan, Kehua Su, Mang Ye:
EMOE: Modality-Specific Enhanced Dynamic Emotion Experts. CVPR 2025: 14314-14324 - [c23]Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye:
FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. CVPR 2025: 15464-15475 - [c22]Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye:
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. CVPR 2025: 26170-26180 - [c21]Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye:
Energy-based Backdoor Defense Against Federated Graph Learning. ICLR 2025 - [c20]Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. ICLR 2025 - [c19]Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye:
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning. ICML 2025 - [c18]Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao:
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning. ICML 2025 - [c17]Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye:
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation. ICML 2025 - [c16]Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye:
Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models. ICML 2025 - [c15]Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye:
GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention. ICML 2025 - [c14]Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye:
EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification. ICML 2025 - [c13]Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye:
S2FGL: Spatial Spectral Federated Graph Learning. ICML 2025 - [c12]Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S. Y. Lau, B. Aditya Prakash, Wei Jin:
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. ICML 2025 - [c11]Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang:
Rethink GraphODE Generalization within Coupled Dynamical System. ICML 2025 - [c10]Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye:
Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation. ICML 2025 - [c9]Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan, Yingwen Chen, Zhiping Cai:
Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning. ICML 2025 - [c8]Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng:
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. ICML 2025 - [c7]Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye:
An Empirical Study of Federated Prompt Learning for Vision Language Model. IJCAI 2025: 10705-10713 - [i35]Guibin Zhang, Kaijie Chen, Guancheng Wan, Heng Chang, Hong Cheng, Kun Wang, Shuyue Hu, Lei Bai:
EvoFlow: Evolving Diverse Agentic Workflows On The Fly. CoRR abs/2502.07373 (2025) - [i34]Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, Yang Wang:
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems. CoRR abs/2502.11127 (2025) - [i33]Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi:
MasRouter: Learning to Route LLMs for Multi-Agent Systems. CoRR abs/2502.11133 (2025) - [i32]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:
Protein Large Language Models: A Comprehensive Survey. CoRR abs/2502.17504 (2025) - [i31]Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye, Bo Du:
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. CoRR abs/2503.04543 (2025) - [i30]Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang:
Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. CoRR abs/2503.08175 (2025) - [i29]Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye:
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. CoRR abs/2503.16843 (2025) - [i28]Yuang Jia, Xiaojuan Shan, Jun Xia, Guancheng Wan, Yuchen Zhang, Wenke Huang, Mang Ye, Stan Z. Li:
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks. CoRR abs/2504.00540 (2025) - [i27]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025) - [i26]Jinhe Bi, Danqi Yan, Yifan Wang, Wenke Huang, Haokun Chen, Guancheng Wan, Mang Ye, Xun Xiao, Hinrich Schütze, Volker Tresp, Yunpu Ma:
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. CoRR abs/2505.13408 (2025) - [i25]Jian Liang, Wenke Huang, Xianda Guo, Guancheng Wan, Bo Du, Mang Ye:
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation. CoRR abs/2505.18640 (2025) - [i24]Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun:
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. CoRR abs/2505.20349 (2025) - [i23]Zhihao Wang, Wenke Huang, Tian-Long Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye:
An Empirical Study of Federated Prompt Learning for Vision Language Model. CoRR abs/2505.23024 (2025) - [i22]Guibin Zhang, Muxin Fu, Guancheng Wan, Miao Yu, Kun Wang, Shuicheng Yan:
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems. CoRR abs/2506.07398 (2025) - [i21]Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu:
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR abs/2506.18959 (2025) - [i20]Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye:
S2FGL: Spatial Spectral Federated Graph Learning. CoRR abs/2507.02409 (2025) - [i19]Yanbiao Ma, Wei Dai, Bowei Liu, Jiayi Chen, Wenke Huang, Guancheng Wan, Zhiwu Lu, Junchi Yan:
Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency. CoRR abs/2508.13518 (2025) - [i18]Wenke Huang, Quan Zhang, Yiyang Fang, Jian Liang, Xuankun Rong, Huanjin Yao, Guancheng Wan, Ke Liang, Wenwen He, Mingjun Li, Leszek Rutkowski, Mang Ye, Bo Du, Dacheng Tao:
MAPO: Mixed Advantage Policy Optimization. CoRR abs/2509.18849 (2025) - [i17]Xiangru Tang, Wanghan Xu, Yujie Wang, Zijie Guo, Daniel Shao, Jiapeng Chen, Cixuan Zhang, Ziyi Wang, Lixin Zhang, Guancheng Wan, Wenlong Zhang, Lei Bai, Zhenfei Yin, Philip Torr, Hanrui Wang, Di Jin:
Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning. CoRR abs/2509.21193 (2025) - [i16]Fang Wu, Xu Huang, Weihao Xuan, Zhiwei Zhang, Yijia Xiao, Guancheng Wan, Xiaomin Li, Bing Hu, Peng Xia, Jure Leskovec, Yejin Choi:
Multiplayer Nash Preference Optimization. CoRR abs/2509.23102 (2025) - [i15]Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang:
Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts. CoRR abs/2509.23188 (2025) - [i14]Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang:
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE. CoRR abs/2509.24130 (2025) - [i13]Guibin Zhang, Fanci Meng, Guancheng Wan, Zherui Li, Kun Wang, Zhenfei Yin, Lei Bai, Shuicheng Yan:
LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space. CoRR abs/2509.24771 (2025) - [i12]Zelin Tan, Hejia Geng, Mulei Zhang, Xiaohang Yu, Guancheng Wan, Yifan Zhou, Qiang He, Xiangyuan Xue, Heng Zhou, Yutao Fan, Zhongzhi Li, Zaibin Zhang, Guibin Zhang, Chen Zhang, Zhenfei Yin, Lei Bai:
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning. CoRR abs/2509.25300 (2025) - [i11]Eric Hanchen Jiang, Guancheng Wan, Sophia Yin, Mengting Li, Yuchen Wu, Xiao Liang, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu:
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models. CoRR abs/2510.07799 (2025) - [i10]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:
Energy-Driven Steering: Reducing False Refusals in Large Language Models. CoRR abs/2510.08646 (2025) - 2024
- [j1]Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang:
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9387-9406 (2024) - [c6]Guancheng Wan, Wenke Huang, Mang Ye:
Federated Graph Learning under Domain Shift with Generalizable Prototypes. AAAI 2024: 15429-15437 - [c5]Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye:
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. ICML 2024 - [c4]Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin:
A Review of Graph Neural Networks in Epidemic Modeling. KDD 2024: 6577-6587 - [c3]Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du:
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning. NeurIPS 2024 - [c2]Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye:
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference. NeurIPS 2024 - [i9]Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin:
A Review of Graph Neural Networks in Epidemic Modeling. CoRR abs/2403.19852 (2024) - [i8]Zewen Liu, Yunxiao Li, Mingyang Wei, Guancheng Wan, Max S. Y. Lau, Wei Jin:
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling. CoRR abs/2406.06016 (2024) - [i7]Wenke Huang, Guancheng Wan, Mang Ye, Bo Du:
Federated Graph Semantic and Structural Learning. CoRR abs/2406.18937 (2024) - [i6]Guancheng Wan, Zewen Liu, Max S. Y. Lau, B. Aditya Prakash, Wei Jin:
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. CoRR abs/2410.00049 (2024) - [i5]Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. CoRR abs/2410.02506 (2024) - [i4]Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng:
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. CoRR abs/2410.11782 (2024) - [i3]Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye:
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference. CoRR abs/2410.20105 (2024) - [i2]Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye:
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. CoRR abs/2411.10928 (2024) - 2023
- [c1]Wenke Huang, Guancheng Wan, Mang Ye, Bo Du:
Federated Graph Semantic and Structural Learning. IJCAI 2023: 3830-3838 - [i1]Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang:
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. CoRR abs/2311.06750 (2023)
Coauthor Index
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