OPBench: A Graph Benchmark to Combat the Opioid Crisis
Tianyi Ma, Yiyang Li, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Chuxu Zhang, Yanfang Ye. OPBench: A Graph Benchmark to Combat the Opioid Crisis. KDD, 2026.
CV
My CV is available in PDF format here.
Education
- B.S. in Computer Science with a Minor in Economics, University of Colorado Boulder, 2016 - 2020.
- M.S. in Computer Science, University of Southern California, 2020 - 2022.
- Ph.D in Computer Science, University of Notre Dame, 2022 - Now.
Work experience
- May. 2025 - Aug. 2025: Applied Scientist Intern
- Amazon, Inc
- Aug. 2024 - Dec. 2024 Applied Scientist Intern
- Amazon, Inc
- May. 2021 - Jun. 2022: Project Researcher & Software Developer (Intern)
- Edtera, Inc
- May. 2019 - Aug. 2019: Software Engineering (Intern)
- Tencent Co., Inc
- Jun. 2018 - Aug. 2018: Lecture Assistant (Intern)
- Baidu Institute of Technology
Research
- General:
- Machine Learning, Deep Learning, Generative AI, Data Mining, Natural Language Processing, AI for Education.
- Research Direction:
- (Hyper)Graph Representation Learning, Graph Prompt Learning, Large Language Models (LLMs), Self-supervised Learning.
- Application:
- Drug Trafficking on Social Media, Community Detection.
Publications
Non-Monotonic Autoregressive Sequence Model
Tianyi Ma, Yiyue Qian, Yiyang Li, Zehong Wang, Yifan Ding, Zheyuan Zhang, Yan Liang, Chuxu Zhang, Yanfang Ye. Non-Monotonic Autoregressive Sequence Model. ICML, 2026.
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye. AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering. ACL, 2026.
BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye. BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs. Preprint, 2026.
Molecular Representations in Implicit Functional Space via Hyper-Networks
Zehong Wang, Xiaolong Han, Qi Yang, Xiangru Tang, Fang Wu, Xiaoguang Guo, Weixiang Sun, Tianyi Ma, Pietro Lio, Le Cong, Sheng Wang, Chuxu Zhang, Yanfang Ye. Molecular Representations in Implicit Functional Space via Hyper-Networks. Preprint, 2026.
GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health
Jiatan Huang, Zheyuan Zhang, Tianyi Ma, Mingchen Li, Yaning Zheng, Yanfang Ye, Chuxu Zhang. GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health. Preprint, 2026.
LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
Yiyang Li, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye. LongDA: Benchmarking LLM Agents for Long-Document Data Analysis. Preprint, 2026.
Scalable Graph Generative Modeling via Substructure Sequences
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye. Scalable Graph Generative Modeling via Substructure Sequences. NeurIPS, 2025.
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. AutoData: A Multi-Agent System for Open Web Data Collection. NeurIPS, 2025.
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
Shang Ma, Tianyi Ma, Jiahao Liu, Wei Song, Zhenkai Liang, Xusheng Xiao, Yanfang Ye. PsyScam: A Benchmark for Psychological Techniques in Real-World Scams. EMNLP, 2025.
Hypergraph Representation Learning with Adaptive Broadcasting and Receiving
Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye. Hypergraph Representation Learning with Adaptive Broadcasting and Receiving. ICDM, 2025.
LLMs4All: A Review of Large Language Models Across Academic Disciplines
Yanfang Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, and others. LLMs4All: A Review of Large Language Models Across Academic Disciplines. Survey, 2025.
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. MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. KDD, 2025.
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-trees
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye. Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-trees. ICML, 2025.
Neural Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye. Neural Graph Pattern Machine. ICML, 2025.
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. NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. ACL, 2025.
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye. LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. ACL, 2025.
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. Graph Foundation Models: A Comprehensive Survey. Survey, 2025.
Can LLMs Convert Graphs to Text-Attributed Graphs?
Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye. Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL, 2025.
Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning
Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye. Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. WSDM, 2025.
Adaptive Expansion for Hypergraph Learning
Tianyi Ma, Yiyue Qian, Shinan Zhang, Chuxu Zhang, Yanfang Ye. Adaptive Expansion for Hypergraph Learning. Preprint, 2025.
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement
Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye. Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW, 2024.
Hypergraph Contrastive Learning for Drug Trafficking Community Detection
Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye. Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM, 2023.
Talks
[KDD’26] OPBench: A Graph Benchmark to Combat the Opioid Crisis
Talk at KDD 2026 (Oral), Toronto, Canada
[ICDM’25] Hypergraph Representation Learning with Adaptive Broadcasting and Receiving
Talk at IEEE ICDM 2025, Washington, DC, USA
[ICDM’23] Hypergraph Contrastive Learning for Drug Trafficking Community Detection
Talk at 23rd IEEE International Conference on Data Mining, Shanghai, China (online)
Teaching
Service and leadership
- Conference Program Committee Member: SIGIR’25, ICLR’{25, 26}, KDD’24, CIKM’{24, 25}, SDM’25, COLING’{24-25}, LREC’26.
- Journal Reviewer:
- Transactions on Big Data.
- Discover Data.
- Transactions on Dependable and Secure Computing.
- Outreach Program Judger:
- Learning Sphere Projects at Northpoint Elementary School, 2024
- Learning Sphere Projects at Northpoint Elementary School, 2023
- Teaching Assistant Leader:
- Computer Security (CSE-40567/60567), SPR’{24, 25}.
- Volunteer:
- Purdue CDF Freedom School, 2023, 2024
- Research Mentor:
- ND Summer Enrichment Program, 2024