Guancheng Wan

76 papers A* 31Journal 39Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation.
CoRR
Zeping Li, Guancheng Wan, Keyang Chen, Yu Chen, Yiwen Zhao, Philip Torr, Guangnan Ye, Zhenfei Yin, Hongfeng Chai
2026 A* conf
DAWN: Distributed LLM Multi-Agent Workflow Synthesis.
AAAI
Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang
2026 A* conf
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation.
AAAI
Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang, Anwen Jiang, Guancheng Wan, Mang Ye
2026 A* conf
Domain-Aware Suppression and Aggregation for Federated DG ReID.
AAAI
Zhixi Yu, Wei Liu, Wenke Huang, Bin Yang, Qian Bie, Guancheng Wan, Xin Xu
2026 — conf
FedPRE: Robust Federated Graph Learning against Topological Corruption.
KDD (1)
Zihan Tan, Guancheng Wan, Wenke Huang, Bin Yang, Mang Ye
2026 A* conf
PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models.
AAAI
Wenzheng Jiang, Ke Liang, Xuankun Rong, Jingxuan Zhou, Zhengyi Zhong, Guancheng Wan, Ji Wang
2026 — conf
Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics.
KDD (1)
Ruoyan Li, Zijie Huang, Haixin Wang, Guancheng Wan, Yizhou Sun, Wei Wang
2026 A* conf
Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense.
AAAI
Zitong Shi, Guancheng Wan, Wenke Huang, Yuxin Wu, Quan Zhang, Mang Ye
2026 A* conf
Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding.
WWW
Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang
2026 J jnl
When Attention Betrays: Erasing Backdoor Attacks in Robotic Policies by Reconstructing Visual Tokens.
CoRR
XueTao Li, Pinhan Fu, Wenke Huang, Nengyuan Pan, Songhua Yang, Kaiyan Zhao, Guancheng Wan, Mengde Li, Jifeng Xuan, Miao Li
2025 J jnl
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
CoRR
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
2025 J jnl
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks.
CoRR
Yuang Jia, Xiaojuan Shan, Jun Xia, Guancheng Wan, Yuchen Zhang, Wenke Huang, Mang Ye, Stan Z. Li
2025 A* conf
An Empirical Study of Federated Prompt Learning for Vision Language Model.
IJCAI
Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025 J jnl
An Empirical Study of Federated Prompt Learning for Vision Language Model.
CoRR
Zhihao Wang, Wenke Huang, Tian-Long Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025 A* conf
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning.
ICML
Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao
2025 J jnl
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE.
CoRR
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
2025 J jnl
Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency.
CoRR
Yanbiao Ma, Wei Dai, Bowei Liu, Jiayi Chen, Wenke Huang, Guancheng Wan, Zhiwu Lu, Junchi Yan
2025 J jnl
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process.
CoRR
Jinhe Bi, Danqi Yan, Yifan Wang, Wenke Huang, Haokun Chen, Guancheng Wan, Mang Ye, Xun Xiao, Hinrich Schütze, Volker Tresp, Yunpu Ma
2025 A* conf
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
ICLR
Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2025 J jnl
Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts.
CoRR
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
2025 J jnl
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Image Segmentation.
CoRR
Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang, Anwen Jiang, Guancheng Wan, Mang Ye
2025 A* conf
Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning.
ICML
Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan, Yingwen Chen, Zhiping Cai
2025 J jnl
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models.
CoRR
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
2025 A* conf
EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification.
ICML
Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye
2025 A* conf
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.
ICML
Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S. Y. Lau, B. Aditya Prakash, Wei Jin
2025 A* conf
EMOE: Modality-Specific Enhanced Dynamic Emotion Experts.
CVPR
Yiyang Fang, Wenke Huang, Guancheng Wan, Kehua Su, Mang Ye
2025 J jnl
Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning.
CoRR
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
2025 J jnl
Energy-Driven Steering: Reducing False Refusals in Large Language Models.
CoRR
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
2025 A* conf
Energy-based Backdoor Defense Against Federated Graph Learning.
ICLR
Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye
2025 J jnl
EvoFlow: Evolving Diverse Agentic Workflows On The Fly.
CoRR
Guibin Zhang, Kaijie Chen, Guancheng Wan, Heng Chang, Hong Cheng, Kun Wang, Shuyue Hu, Lei Bai
2025 J jnl
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.
CoRR
Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun
2025 — conf
FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics.
KDD (2)
Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou
2025 A* conf
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation.
ICML
Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye
2025 A* conf
FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity.
CVPR
Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye
2025 A* conf
Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation.
ICML
Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye
2025 J jnl
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.
CoRR
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
2025 A* conf
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.
ICML
Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng
2025 J jnl
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems.
CoRR
Guibin Zhang, Muxin Fu, Guancheng Wan, Miao Yu, Kun Wang, Shuicheng Yan
2025 — conf
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.
ACL (1)
Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, Yang Wang
2025 J jnl
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.
CoRR
Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, Yang Wang
2025 A* conf
GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention.
ICML
Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye
2025 J jnl
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.
CoRR
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
2025 A* conf
Label-Free Backdoor Attacks in Vertical Federated Learning.
AAAI
Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye
2025 J jnl
LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space.
CoRR
Guibin Zhang, Fanci Meng, Guancheng Wan, Zherui Li, Kun Wang, Zhenfei Yin, Lei Bai, Shuicheng Yan
2025 A* conf
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning.
ICML
Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2025 A* conf
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models.
CVPR
Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye
2025 J jnl
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models.
CoRR
Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye
2025 J jnl
MAPO: Mixed Advantage Policy Optimization.
CoRR
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
2025 — conf
MasRouter: Learning to Route LLMs for Multi-Agent Systems.
ACL (1)
Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi
2025 J jnl
MasRouter: Learning to Route LLMs for Multi-Agent Systems.
CoRR
Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi
2025 J jnl
Multiplayer Nash Preference Optimization.
CoRR
Fang Wu, Xu Huang, Weihao Xuan, Zhiwei Zhang, Yijia Xiao, Guancheng Wan, Xiaomin Li, Bing Hu, Peng Xia, Jure Leskovec, Yejin Choi
2025 J jnl
Privacy-Enhancing Paradigms within Federated Multi-Agent Systems.
CoRR
Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang
2025 — conf
Protein Large Language Models: A Comprehensive Survey.
EMNLP (Findings)
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 J jnl
Protein Large Language Models: A Comprehensive Survey.
CoRR
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 A* conf
Rethink GraphODE Generalization within Coupled Dynamical System.
ICML
Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang
2025 A* conf
S2FGL: Spatial Spectral Federated Graph Learning.
ICML
Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye
2025 J jnl
S2FGL: Spatial Spectral Federated Graph Learning.
CoRR
Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye
2025 J jnl
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning.
CoRR
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
2025 A* conf
Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models.
ICML
Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye
2025 J jnl
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation.
CoRR
Jian Liang, Wenke Huang, Xianda Guo, Guancheng Wan, Bo Du, Mang Ye
2024 A* conf
A Review of Graph Neural Networks in Epidemic Modeling.
KDD
Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin
2024 J jnl
A Review of Graph Neural Networks in Epidemic Modeling.
CoRR
Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin
2024 J jnl
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
CoRR
Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2024 J jnl
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling.
CoRR
Zewen Liu, Yunxiao Li, Mingyang Wei, Guancheng Wan, Max S. Y. Lau, Wei Jin
2024 J jnl
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.
CoRR
Guancheng Wan, Zewen Liu, Max S. Y. Lau, B. Aditya Prakash, Wei Jin
2024 A* conf
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference.
NeurIPS
Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye
2024 J jnl
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference.
CoRR
Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye
2024 A* conf
Federated Graph Learning under Domain Shift with Generalizable Prototypes.
AAAI
Guancheng Wan, Wenke Huang, Mang Ye
2024 J jnl
Federated Graph Semantic and Structural Learning.
CoRR
Wenke Huang, Guancheng Wan, Mang Ye, Bo Du
2024 J jnl
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang
2024 J jnl
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.
CoRR
Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng
2024 J jnl
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning.
CoRR
Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2024 A* conf
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning.
NeurIPS
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du
2024 A* conf
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning.
ICML
Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye
2023 A* conf
Federated Graph Semantic and Structural Learning.
IJCAI
Wenke Huang, Guancheng Wan, Mang Ye, Bo Du
2023 J jnl
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.
CoRR
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang