My name is Guancheng Wan (万冠呈) ►How to pronounce? , a 4th-year undergraduate student at Wuhan University CS, working closely with Mang Ye, Bo Du and Wenke Huang. I am an incoming CS PhD student (25 Fall) at UCLA, supervised by Wei Wang and Yizhou Sun.
Previously, I spent a wonderful summer at Emory University, supervised by Wei Jin, Carl Yang and collaborated with B. Aditya Prakash.
🔎 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 (LLMs), Large Reasoning Models (LRMs), LLM-based Multi-Agent System (MAS)
b) AI for Science: Genomics, Physics and Chemistry…
c) Trustworthy (Graph) Learning
🔥 News
- 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.
- 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
- 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
- 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
- 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
- Conference on Computer Vision and Pattern Recognition (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
- 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
- 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
- Federated Graph Learning under Domain Shift with Generalizable Prototypes
- Guancheng Wan, Wenke Huang, Mang Ye
- Annual AAAI Conference on Artificial Intelligence (AAAI), 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
- Federated Graph Semantic and Structural Learning
- Wenke Huang†, Guancheng Wan† (co-first), Mang Ye, Bo Du
- International Joint Conference on Artificial Intelligence (IJCAI), 2023
- 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
- 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
📝 Manuscripts
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Rethink GraphODE Generalization within Coupled Dynamical System
Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang -
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S.Y. Lau, B. Aditya Prakash, Wei Jin -
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
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Protein Large Language Models: A Comprehensive Survey
🎡 Service
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 AAAI’2025, IJCAI’2025, ACM MM’2024/2025
Journal Reviewer
- Reviewer for IEEE Transactions on Information Forensics and Security (TIFS)
- Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
- Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
🎖 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: 10/65000+ ~ 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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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: 60/65000+ ~ 0.1%) Wuhan University
📖 Educations
PhD, Computer Science, University of California, Los Angeles (UCLA)
Undergraduate, School of Computer Science, Wuhan University
High School, The Attached Middle School To Jiangxi Normal University
Miscellaneous
Talks and Shares
Undergraduate research resource and enrollment process
Poems that inspire me
Handwriting of my Chinese name:
