My name is Guancheng Wan (万冠呈) ►How to pronounce? , a CS Ph.D. student at University of California, Los Angeles (UCLA), supervised by Yizhou Sun and Wei Wang (IEEE/ACM Fellow). I obtained my B.S. degree at Wuhan University, advised by Mang Ye, Bo Du and Wenke Huang.
I am open to any research collaboration and internship, with a great record of cooperating and mentoring. 🥳 Feel free to contact me via Email or WeChat.
🔎 Research
I am passionate about modeling the relationships among all points (e.g., nodes, tokens, or agents). My current research interests focus on three key areas:
a) (Multimodal) Large Language Models (MLLM), Large Reasoning Models, LLM-based Multi-Agent System
b) AI for Science: Biotechnology, Physics and Chemistry…
c) Trustworthy AI: Federated (Graph) Learning, MLLM Safety and Hallucination
🔥 News
- 2025.05: 🎉 Two papers were accepted by ACL 2025 Main. Thanks to all collaborators!
- 2025.05: 🎉 Some papers were accepted by ICML 2025 with Two Spotlights (Top 2.6%). See you in Vancouver!
- 2024.11: 🫡 Serve as Associate Program Chair for FedKDD 2025@KDD - Welcome to submit!
- 2025.04: 🎉 One co-first authored paper: LoRASculpt was selected as an Oral Presentation (Top 3.3%) at CVPR 2025. Thanks to all collaborators!
- 2025.03: 🎉 One co-first authored paper: FedTGE was selected as an Oral Presentation (Top 1.8%) at ICLR 2025. Thanks to all collaborators!
- 2025.02: 🎉 Three papers accepted by CVPR 2025 on fine-tuning and applications of Multimodal Large Language Models (MLLM). Thanks to all collaborators! See you in Nashville.
- 2024.02: I serve as a reviewer for NeurIPS 2025.
- 2024.02: 🎉 Honored to receive Graduate Research Fellowship from UCLA and UIUC.
- 2025.01: 🎉 Two papers were accepted by ICLR 2025. See you in Singapore.
- 2024.12: 🎉 One paper was accepted by AAAI 2025.
- 2024.12: I serve as a reviewer for ICML 2025.
- 2024.11: 🎈I was honored with Lei Jun Excellence Scholarship ~ 100k (The Highest Scholarship at Wuhan University, Top-4 among All Undergraduates, Award Rate ~ 0.01%)
- 2024.11: I serve as a reviewer for CVPR 2025.
- 2024.09: 🎉 Two papers were accepted by NeurIPS 2024. See you in Vancouver.
- 2024.08: Organize a tutorial at KDD 2024 in Barcelona on 25th, come if you are interested in epidemics + GNN!
- 2024.08: I serve as a reviewer for ICLR 2025.
- 2024.06: 🎉 One paper is accepted by TPAMI, congrats to all collaborators!
- 2024.05: I serve as a reviewer for NeurIPS 2024.
- 2024.05: 🎉 Our survey about GNNs in Epidemic Modeling is accepted by KDD 2024. See you in Barcelona!
- 2024.05: 🎉 One paper about self-supervised graph learning was accepted by ICML 2024. See you in Austria!
- 2024.04: 🚀 Explore our pre-print: a deep look at using Graph Neural Networks in Epidemic Modeling. Check our collected paper list.
- 2024.02: I serve as a reviewer for ACM MM 2024.
- 2024.02: I serve as a reviewer for ECCV 2024.
- 2023.12: A paper was accepted to AAAI 2024. See you in Vancouver.
- 2023.11: I serve as a reviewer for CVPR 2024.
- 2023.11: 🚀 We thoroughly explore three core research areas in federated learning: generalization, robustness, and fairness. Don't hesitate to utilize our benchmarking codes for your own research goal!
- 2023.10: I attended China National Computer Congress (CNCC) and was awarded the honor of CCF (China Computer Federation) Elite Collegiate Award (102 Students nation-wide).
- 2023.10: I won the National Scholarship for the second time (0.2% nation-wide), and was selected the Pacemaker to Merit Student (Award Rate: 60/59774=0.1%).
- 2023.08: we attended the 32nd international joint conference on artificial intelligence (ijcai) and presented our work in macao.
📃 Selected Publications (Full List)
† Equal Contribution
ICLR 2025
- Energy-based Backdoor Defense Against Federated Graph Learning
- Guancheng Wan†, Zitong Shi†, Wenke Huang†, Guibin Zhang, Dacheng Tao, Mang Ye
- Oral Presentation (Top 1.8%) in International Conference on Learning Representations (ICLR), 2025
ICML 2025
- Rethink GraphODE Generalization within Coupled Dynamical System
- Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang
- Spotlight Presentation (Top 2.6%) in International Conference on Machine Learning (ICML), 2025
CVPR 2025
- LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
- Jian Liang†, Wenke Huang†, Guancheng Wan† (co-first), Qu Yang, Mang Ye
- Oral Presentation (Top 3.3%) in Conference on Computer Vision and Pattern Recognition (CVPR), 2025
CVPR 2025
- FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
- Zihan Tan†, Guancheng Wan† (co-first), Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye
- Conference on Computer Vision and Pattern Recognition (CVPR), 2025
ICML 2025
- Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
- Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S.Y. Lau, B. Aditya Prakash, Wei Jin
- International Conference on Machine Learning (ICML), 2025
CVPR 2025
- EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
- Yiyang Fang†, Wenke Huang†, Guancheng Wan† (co-first), Kehua Su, Mang Ye
- Conference on Computer Vision and Pattern Recognition (CVPR), 2025
ICML 2025
- GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
- Jiaru Qian†, Guancheng Wan† (co-first), Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye
- International Conference on Machine Learning (ICML), 2025
ICML 2025
- EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
- Zitong Shi†, Guancheng Wan† (co-first), Guibin Zhang, Wenke Huang, He Li, Carl Yang, Mang Ye
- International Conference on Machine Learning (ICML), 2025
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
- Spotlight Presentation (Top 2.6%) in International Conference on Machine Learning (ICML), 2025
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
- International Conference on Machine Learning (ICML), 2025
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
- International Conference on Learning Representations (ICLR), 2025
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
- International Conference on Machine Learning (ICML), 2025
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
- The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
ICML 2025
- Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
- Yangxu Liao†, Wenke Huang†, Guancheng Wan† (co-first), Jian Liang, Bin Yang, Mang Ye
- International Conference on Machine Learning (ICML), 2025
ICML 2024
- S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
- Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V Chawla, Mang Ye
- International Conference on Machine Learning (ICML), 2024
NeurIPS 2024
- FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
- Zihan Tan†, Guancheng Wan† (co-first), Wenke Huang†, Mang Ye
- Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
AAAI 2024
- Federated Graph Learning under Domain Shift with Generalizable Prototypes
- Guancheng Wan, Wenke Huang, Mang Ye
- Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
KDD 2024
- A Review of Graph Neural Networks in Epidemic Modeling
- Zewen Liu†, Guancheng Wan† (co-first), B. Aditya Prakash, Max S. Y. Lau, Wei Jin
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
- Project Page
IJCAI 2023
- Federated Graph Semantic and Structural Learning
- Wenke Huang†, Guancheng Wan† (co-first), Mang Ye, Bo Du
- International Joint Conference on Artificial Intelligence (IJCAI), 2023
TPAMI 2024
- Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
- Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
- Project Page
🔬 Survey and Benchmark
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Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
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Protein Large Language Models: A Comprehensive Survey
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A Comprehensive Survey in LLM (-Agent) Full Stack Safety: Data, Training and Deployment
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From Web Search towards Agentic Deep ReSearch: Incentivizing Search with Reasoning Agents
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A Comprehensive Survey of Evaluating Multimodal Foundation Models: Hierarchical Perspective and Extensive Applications
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A Comprehensive Survey on Scientific Large Language Models in Physics
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FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation
🎡 Service
Program Chair
Conference Committee Member
- Reviewer for ICML'2025, ICLR'2025, NeurIPS'2024/2025, AISTATS'2025
- Reviewer for CVPR'2024/2025, ICCV'2025, ECCV'2024
- Reviewer for ARR, ACL'2025, EMNLP'2025, NACCL'2025
- Reviewer for AAAI'2025/2026, IJCAI'2025, ACM MM'2024/2025
Journal Reviewer
- IEEE TIFS, TIP, TKDE, TNNLS
- ACM TKDD
- Pattern Recognition (PR)
- Data-centric Machine Learning Research (DMLR)
🎖 Scholarships and Honors
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2024.11 Lei Jun Excellence Scholarship (雷军卓越奖学金) ~100k (The Highest Scholarship at Wuhan University, Top-4 among All Undergraduates, Award Rate ~ 0.01%) Wuhan University
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2023.09 National Scholarship (Twice) (国家奖学金) (Award Rate: 0.2% nation-wide) Ministry of Education, China
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2022.09 National Scholarship (国家奖学金) (Award Rate: 0.2% nation-wide) Ministry of Education, China
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2025.03 Luo Jia Role model (榜样珞珈年度人物) (10 Students school-wide) Wuhan University
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2024.11 InnoStar Undergraduate Innovation Achievement Award (英诺大学生创新成果 特等奖) ~30k (Only 2 Students school-wide) Wuhan University
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2024.10 Luojia Undergraduate Innovation Research Fund (首批珞珈本科生研究基金) ~50k (4 Students department-wide) Wuhan University
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2024.06 Lei Jun Computer Innovation and Development Fund and Research Fund (雷军创新发展基金、雷军研究基金) (3 Students department-wide) Wuhan University
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2024.06 SenseTime Scholarship (商汤奖学金) ~20k (25 Students nation-wide) SenseTime
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2024.04 CS Pioneer (计科先锋年度人物) (10 Students department-wide) Wuhan University
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2023.10 CCF (China Computer Federation) Elite Collegiate Award (CCF优秀大学生) (102 Students nation-wide) China Computer Federation
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2023.10 Pacemaker to Merit Student (三好学生标兵) (Award Rate ~ 0.1%) Wuhan University
📖 Education
PhD, Computer Science, University of California, Los Angeles (UCLA)
💼 Experience
