My name is Zheyuan (Jason) Zhang, a second-year Ph.D. student in the Department of Computer Science and Engineering at the University of Notre Dame. My advisor is Prof. Yanfang (Fanny) Ye. Under Prof. Ye’s supervision, I collaborate with my lab mates, IBM Research, and Prof. Chuxu Zhang. Before joining Notre Dame, I received my B.S. degree at Wuhan University (WHU) in 2019 and M.S. degree at New York University (NYU) in 2020. After graduating from NYU, I joined Coleridge Initiative as research scientist from 2020 to 2023. My research focuses mainly on threefolds: Agentic Retrieval Augmented Generation, Graph Foundation Model, and Recommendation System. I’m also interested in applying AI to solve real life problems, especially in fields of health & nutrition intelligence. For more details, you can find my CV here.

News

• [2025.02] I will join Amazon as Applied Scientist Intern this Summer. See you in Seattle!
• [2025.01] One paper is accepted by NAACL 2025. See you in Albuquerque!
• [2024.11] One first-author paper is accepted by KDD 2025. See you in Toronto!
• [2024.10] One paper is accepted by WSDM 2025.
• [2024.09] I will be giving a talk about our work, MOPI-HFRS, at IBM T.J. Watson Research Center. See you in Yorktown Heights!
• [2024.09] One paper is accepted by NeurIPS 2024.
• [2024.06] I start collaboration with IBM Research, working under the mentorship of Keerthiram Murugesan.
• [2024.05] One first-author paper is accepted by KDD 2024.
• [2024.04] One paper is accepted by IJCAI 2024.

Publications

You can find the full list of my articles on my Google Scholar profile.

Preprint

• NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning [Submitted to ARR Dec (Avg. Score 3.83; Meta 4) ] [paper][code]

  Zheyuan Zhang*, Yiyang Li*, Nhi Ha Lan Le*, Zehong Wang, Tianyi Ma, et al.

• Neural Graph Pattern Machine [Submitted to ICML] [paper]

  Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.

• Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-trees [Submitted to ICML] [paper]

  Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.

Selected Publications

• [KDD’25] MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. [paper][code]

  Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, et al.

• [KDD’24] Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Pattern. [paper] [code]

  Zheyuan Zhang*, Zehong Wang*, Shifu Hou, Evan Hall, Landon Bachman, et al.

• [WSDM’25] SimMLP: Training MLPs on Graphs without Supervision [paper] [code]

  Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye.

• [NeurIPS’24] GFT: Graph Foundation Model with Transferable Tree Vocabulary [paper] [code]

  Zehong Wang, Zheyuan Zhang, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.

• [IJCAI’24] Subgraph Pooling: Tackling Negative Transfer on Graphs. [paper]][code] [poster]

  Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye.

(* indicates equal contribution.)

Contact

• Email: zzhang42 [at] nd [dot] edu
• Office: 247B Fitzpatrick Hall of Engineering
• Location: University of Notre Dame, Notre Dame, IN 46565

Feel free to reach out via email if you’re interested in our research, potential collaborations, or just wish to chat :)