Federated Graph Semantic and Structural Learning. - Wenke Huang; Guancheng Wan; Mang Ye; Bo Du 001 (IJCAI, 2023)

Federated Graph Learning under Domain Shift with Generalizable Prototypes. - Guancheng Wan; Wenke Huang; Mang Ye (AAAI, 2024)

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. - Guancheng Wan; Yijun Tian 001; Wenke Huang; Nitesh V. Chawla; Mang Ye (ICML, 2024)

A Review of Graph Neural Networks in Epidemic Modeling. - Zewen Liu 005; Guancheng Wan; B. Aditya Prakash; Max S. Y. Lau; Wei Jin 009 (KDD, 2024)

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning. - Wenke Huang; Mang Ye; Zekun Shi; Guancheng Wan; He Li; Bo Du 001 (NeurIPS, 2024)

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

EpiLearn: A Python Library for Machine Learning in Epidemic Modeling. - Zewen Liu 005; Yunxiao Li; Mingyang Wei; Guancheng Wan; Max S. Y. Lau; Wei Jin 009 (CoRR, 2024)

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. - Guancheng Wan; Zewen Liu 005; Max S. Y. Lau; B. Aditya Prakash; Wei Jin 009 (CoRR, 2024)

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 042; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (CoRR, 2024)

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 042; Dawei Cheng (CoRR, 2024)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. - Wenke Huang; Jian Liang 001; Zekun Shi; Didi Zhu; Guancheng Wan; He Li; Bo Du 001; Dacheng Tao; Mang Ye (CoRR, 2024)

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. - Wenke Huang; Mang Ye; Zekun Shi; Guancheng Wan; He Li; Bo Du 001; Qiang Yang 008 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Label-Free Backdoor Attacks in Vertical Federated Learning. - Wei Shen 006; Wenke Huang; Guancheng Wan; Mang Ye (AAAI, 2025)

G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems. - Shilong Wang 002; Guibin Zhang; Miao Yu; Guancheng Wan; Fanci Meng; Chongye Guo; Kun Wang 056; Yang Wang 015 (ACL (1), 2025)

MasRouter: Learning to Route LLMs for Multi-Agent Systems. - Yanwei Yue; Guibin Zhang; Boyang Liu; Guancheng Wan; Kun Wang 056; Dawei Cheng; Yiyan Qi (ACL (1), 2025)

LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. - Jian Liang 001; Wenke Huang; Guancheng Wan; Qu Yang; Mang Ye (CVPR, 2025)

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

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. - Zihan Tan; Guancheng Wan; Wenke Huang; He Li; Guibin Zhang; Carl Yang 001; Mang Ye (CVPR, 2025)

Energy-based Backdoor Defense Against Federated Graph Learning. - Guancheng Wan; Zitong Shi; Wenke Huang; Guibin Zhang; Dacheng Tao; Mang Ye (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 056; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (ICLR, 2025)

EvoFlow: Evolving Diverse Agentic Workflows On The Fly. - Guibin Zhang; Kaijie Chen; Guancheng Wan; Heng Chang; Hong Cheng; Kun Wang 056; Shuyue Hu; Lei Bai 001 (CoRR, 2025)

Protein Large Language Models: A Comprehensive Survey. - Yijia Xiao; Wanjia Zhao; Junkai Zhang; Yiqiao Jin; Han Zhang; Zhicheng Ren; Renliang Sun; Haixin Wang 003; Guancheng Wan; Pan Lu; Xiao Luo 001; Yu Zhang 044; et al. (CoRR, 2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. - Wenke Huang; Jian Liang 001; Xianda Guo; Yiyang Fang; Guancheng Wan; Xuankun Rong; Chi Wen; Zekun Shi; Qingyun Li; Didi Zhu; Yanbiao Ma; Ke Liang; et al. (CoRR, 2025)

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. - Zitong Shi; Guancheng Wan; Wenke Huang; Guibin Zhang; Jiawei Shao; Mang Ye; Carl Yang 001 (CoRR, 2025)

Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks. - Yuang Jia; Xiaojuan Shan; Jun Xia 001; Guancheng Wan; Yuchen Zhang; Wenke Huang; Mang Ye; Stan Z. Li (CoRR, 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. - Jinhe Bi; Danqi Yan; Yifan Wang 021; Wenke Huang; Haokun Chen; Guancheng Wan; Mang Ye; Xun Xiao; Hinrich Schütze; Volker Tresp; Yunpu Ma (CoRR, 2025)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation. - Jian Liang 001; Wenke Huang; Xianda Guo; Guancheng Wan; Bo Du 001; Mang Ye (CoRR, 2025)

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. - Haixin Wang 003; Ruoyan Li; Fred Xu; Fang Sun; Kaiqiao Han; Zijie Huang 002; Guancheng Wan; Ching Chang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2025)

An Empirical Study of Federated Prompt Learning for Vision Language Model. - Zhihao Wang; Wenke Huang; Tian-Long Chen 001; Zekun Shi; Guancheng Wan; Yu Qiao; Bin Yang 026; Jian Wang; Bing Li; Mang Ye (CoRR, 2025)

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems. - Guibin Zhang; Muxin Fu; Guancheng Wan; Miao Yu; Kun Wang 056; Shuicheng Yan (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)

S2FGL: Spatial Spectral Federated Graph Learning. - Zihan Tan; Suyuan Huang; Guancheng Wan; Wenke Huang; He Li; Mang Ye (CoRR, 2025)

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency. - Yanbiao Ma; Wei Dai; Bowei Liu; Jiayi Chen; Wenke Huang; Guancheng Wan; Zhiwu Lu; Junchi Yan (CoRR, 2025)