Computer Science and Engineering
University of Notre DameI am a third year Ph.D. student (2023 Fall - Present) in Computer Science and Engineering at University of Notre Dame advised by Prof. Yanfang (Fanny) Ye. My research focuses on developing generalizable AI systems that integrate multimodal data for scientific discovery. Recently, I have been working on scientific foundation models and AI agents, with the goal of building AI scientists for drug discovery and public health.
- Essence of Graph Learning: graph foundation model, graph pattern machine, self-supervised learning, heterogeneous graph, temporal graph, hypergraph, etc. (Survey, GFT, GIT, GPM, G2PM, TGPM).
- Essence of Agentic AI: planning, memory, multimodality, RAG, tool usage, agent collaboration, self-evolving, etc. (FLARE, LongDA, AutoData, AgentRouter, LAMI, GSubstrate).
- AI for Scientific Discovery: drug discovery, AI scientist, public health, deep research, social science, etc. (Survey, TreeDiff, MolField, LatentChem, Policy4OOD, NGQA).
Feel free to reach out me via email, wechat, or linkedin if you have any questions, explore potential collaborations, or just for talk! 😊
News
Selected Publications (view all )
A Survey of Weight Space Learning: Understanding, Representation, and Generation
Xiaolong Han*, Zehong Wang*, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri (* equal contribution, corresponding author)
arXiv preprint 2026 Survey
A Survey of Weight Space Learning: Understanding, Representation, and Generation
Xiaolong Han*, Zehong Wang*, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri (* equal contribution, corresponding author)
arXiv preprint 2026 Survey
Graph Foundation Models: A Comprehensive Survey
Zehong Wang*, Zheyuan Liu*, Tianyi Ma*, Jiazheng Li*, Zheyuan Zhang*, Xingbo Fu*, Yiyang Li*, Zhengqing Yuan*, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh Chawla, Chuxu Zhang, Yanfang Ye (* equal contribution, corresponding author)
arXiv preprint 2025 Survey
Graph Foundation Models: A Comprehensive Survey
Zehong Wang*, Zheyuan Liu*, Tianyi Ma*, Jiazheng Li*, Zheyuan Zhang*, Xingbo Fu*, Yiyang Li*, Zhengqing Yuan*, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh Chawla, Chuxu Zhang, Yanfang Ye (* equal contribution, corresponding author)
arXiv preprint 2025 Survey
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
Zheyuan Zhang*, Zehong Wang*, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye (* equal contribution)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2024
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
Zheyuan Zhang*, Zehong Wang*, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye (* equal contribution)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2024
All publications
Education
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University of Notre DameDepartment of Computer Science and Engineering
Ph.D. StudentAug. 2023 - present
Experience
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AmazonApplied Scientist Intern (Part-Time)Sept. 2025 - Oct. 2025 -
AmazonApplied Scientist InternMay. 2025 - Aug. 2025
Services
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Reviewer, NeurIPS2024, 2025, 2026
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Reviewer, ICLR2024, 2025, 2026
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Reviewer, ICML2024, 2025, 2026
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Reviewer, KDD2025, 2026
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Reviewer, ARR (ACL, EMNLP, NAACL)2025, 2026
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Reviewer, AISTATS2025, 2026
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Reviewer, AAAI2024, 2025, 2026
Honors & Awards
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NSF Access Grant2025
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NeurIPS Scholar Award2025
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ICML Scholar Award2025
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Notre Dame Graduate School Conference Presentation Grant2025
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WSDM Student Travel Award2025
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SDM Doctoral Forum Travel Award2024