My name is Guancheng Wan (万冠呈), I’m a 4th-year undergraduate student at the School of Computer Science, Wuhan University, supervised by Mang Ye. I’m currently a research intern at Emory University, supervised by Wei Jin. I also worked with Nitesh V Chawla, B. Aditya Prakash, and Qiang Yang.

🌟 I’m actively applying for a Ph.D. position in 2025 Fall!

🔎 Research

“All things are interconnected, this is the essence of nature.”

I am enthusiastic about modeling the relationship of these connections, particularly focusing on geometric data. Currently, my research interests revolve around three primary areas:

a) AI for Science:

  • Bioinformatics (e.g., Genomics)

  • Public Health (e.g., Epidemiology)

  • Physics (e.g., Neural ODE, Dynamic System)

b) TrustWorthy Graph Learning

c) Self-supervised Graph Learning


🔥 News

  • 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.


📃 Publications

† Equal Contribution

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

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

📝 Manuscripts

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Max S.Y. Lau, B. Aditya Prakash, Wei Jin
under review, 2024

Energy-based Backdoor Defense Against Federated Graph Learning
under review, 2024

EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
under review, 2024

FedSPA : Generalizable Federated Graph Learning under Homophily Heterogeneity
under review, 2024

🎡 Service

Conference Committee Member

  • Reviewer for ICLR’2025
  • Reviewer for NeurIPS’2024
  • Reviewer for AISTATS’2025
  • Reviewer for CVPR’2024,2025
  • Reviewer for ECCV’2024
  • Reviewer for AAAI’2024, 2025
  • Reviewer for ACM MM’2024
  • Reviewer for LoG’2024

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

  • 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

  • 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

  • 2024.06 SenseTime Scholarship (商汤奖学金) ~20k (25 Students nation-wide) SenseTime

  • 2024.04 CS Pioneer (计科先锋年度人物) (10 Students department-wide) Wuhan University

  • 2023.10 CCF (China Computer Federation) Elite Collegiate Award (CCF优秀大学生) (102 Students nation-wide) China Computer Federation

  • 2023.10 Pacemaker to Merit Student (三好学生标兵) (Award Rate: 60/65000+ ~ 0.1%) Wuhan University
  • 2023.09 National Scholarship (Twice) (国家奖学金) (Award Rate: 0.2% nation-wide) Ministry of Education, China
  • 2022.09 National Scholarship (国家奖学金) (Award Rate: 0.2% nation-wide) Ministry of Education, China
  • 2022.09 First Class Scholarship (Award Rate: 5% school-wide) Wuhan University
  • 2022.09 Excellent Student Cadre (Award Rate: 924/65000+ ~ 1.5%) Wuhan University


📖 Educations

  • 2021.09 - Now, Undergraduate, School of Computer Science, Wuhan University, China (GPA:3.9/4.0, Rank:1/252)

Miscellaneous

Talks and Shares
泛化图学习与本科生科研经历分享
Undergraduate research resource and enrollment process
Link
Poems that inspire me
白鹭立雪,愚者看鹭,聪者观雪,智者见白 —— A white egret stands in the snow. The foolish see only the egret, the wise observe the snow, and the enlightened perceive the whiteness.
世界不黑也不白, 而是一道精致的灰 —— The world is neither black nor white, but a delicate shade of gray.


Handwriting of my Chinese name: