Tianyi (Billy) Ma
Greetings! I am Tianyi (Billy) Ma (马天翊), a Ph.D. Student in Computer Science and Engineering at the University of Notre Dame, supervised by Prof. Yanfang (Fanny) Ye. Under Prof. Ye’s supervision, I collaborate with my lab mates and Prof. Chuxu Zhang. Before that, I obtained my M.S. degree from the University of Southern California and my B.S. degree from the University of Colorado Boulder.
My research fields fail in graph/hypergraph Learning and its application with Large Language models. Specifically, I am interested in hypergraph representation learning and contrastive learning. I am eager to collaborate with fellow researchers. Please feel free to contact me via the email provided below to discuss details.
News
- [2025.05] Two papers are accepted by ACL’25.
- [2025.05] I will join Amazon for a applied research internship this summer.
- [2025.05] Two papers are accepted by ICML’25.
- [2025.02] One paper is accepted by NAACL’25.
Selected Publications
Preprints
AutoData: A Multi-Agent System for Open Web Data Collection
Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye.
[paper] [code]Scalable Graph Generative Modeling via Substructure Sequences
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye.
[paper] [code]Adaptive Expansion for Hypergraph Learning
Tianyi Ma, Yiyue Qian, Shinan Zhang, Chuxu Zhang, Yanfang Ye.
[paper] [code]
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.
[paper] [awesome list]
2025
[ACL’25] LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
[paper][code][ACL’25] NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, et al.
[paper][ICML’25] Neural Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.
[paper][ICML’25] Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-trees
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.
[paper] [code][WSDM’25] Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning\ Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang, Ye. (co-first author)
[paper][code][NAACL’25] Can LLMs Convert Graphs to Text-Attributed Graphs?
Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye.
[paper] [code][KDD 25] MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, et al.
[paper]
2024
- [WWW’24] Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement
Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang, Ye.
[paper][code]