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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Guest Lecture
Published:
I am honored to give a guest lecture for the course CSE 60745: Graph Learning: Techniques & Applications [Fall 2025] on the topic of Hypergraph Representation Learning and Applications.
Spec Kit with Coding Agents
Published:
Spec-kit is an open source toolkit that allows you to focus on product scenarios and predictable outcomes instead of vibe coding every piece from scratch. It comes with 5 stages and 7 commands to facilitate the development team to build production-level projects quickly and efficiently (Of course, integrated with Coding Agents like Claude Code, Codex, etc.)
Multimodality and Large Multimodal Models (LMMs)
Published:
Recently, I found a excellent blog that talked about existing Large Multimodal Models (LMMs). Here is the link to the blog.
AI Trustworthy: from Principles to Practices
Published:
Happy Thursday! Tomorrow, I am excited to give a presentation for Lucy Regional Industry Analytics Summer Internships. I will talk about the importance of AI trustworthiness, from principles to practices.
ND Summer Enrichment Program Starts Tomorrow!
Published:
Happy Memorial Day! The Notre Dame Summer Enrichment Program (SEP) will start tomorrow! Tomorrow, I will present my project proposal during the opening meeting.
Research Mentor for ND Summer Enrichment Program
Published:
Greetings! I am excited to serve as a research mentor for the ND Summer Enrichment Program. The program is designed to provide undergraduate students with an opportunity to engage in research projects with faculty and graduate students at the University of Notre Dame. I will work with a group of undergraduate students to explore the exciting world of research in computer science and engineering. I am looking forward to sharing my research experience and helping students develop their research skills.
Volunteer for CDF Freedom School at Purdue University
Published:
This summer, I will serve as a volunteer for CDF Freedom School at Purdue University!
portfolio
publications
Hypergraph Contrastive Learning for Drug Trafficking Community Detection
Published in ICDM'23, 2023
Recommended citation: Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye. Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM, 2023. https://ieeexplore.ieee.org/document/10415815
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement
Published in WWW'24, 2024
Recommended citation: Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye. Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW, 2024. https://dl.acm.org/doi/10.1145/3589335.3651493
Adaptive Expansion for Hypergraph Learning
Published in Preprint, 2025
Recommended citation: Tianyi Ma, Yiyue Qian, Shinan Zhang, Chuxu Zhang, Yanfang Ye. Adaptive Expansion for Hypergraph Learning. Preprint, 2025. https://arxiv.org/abs/2502.15564
Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning
Published in WSDM'25, 2025
Recommended citation: Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye. Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. WSDM, 2025. https://dl.acm.org/doi/10.1145/3701551.3703553
Can LLMs Convert Graphs to Text-Attributed Graphs?
Published in NAACL'25, 2025
Recommended citation: Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye. Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL, 2025. http://arxiv.org/abs/2412.10136
Graph Foundation Models: A Comprehensive Survey
Published in Survey, 2025
Recommended citation: 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. https://arxiv.org/abs/2505.15116
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
Published in ACL'25, 2025
Recommended citation: 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. https://arxiv.org/abs/2503.01900
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
Published in ACL'25, 2025
Recommended citation: 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. https://arxiv.org/abs/2412.15547
Neural Graph Pattern Machine
Published in ICML'25, 2025
Recommended citation: Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye. Neural Graph Pattern Machine. ICML, 2025. https://arxiv.org/abs/2501.18739
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-trees
Published in ICML'25, 2025
Recommended citation: 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. https://arxiv.org/abs/2412.16441
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
Published in KDD'25, 2025
Recommended citation: 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. https://arxiv.org/abs/2412.08847
LLMs4All: A Review of Large Language Models Across Academic Disciplines
Published in Survey, 2025
Recommended citation: 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. https://arxiv.org/abs/2509.19580
Hypergraph Representation Learning with Adaptive Broadcasting and Receiving
Published in ICDM'25, 2025
Recommended citation: Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye. Hypergraph Representation Learning with Adaptive Broadcasting and Receiving. ICDM, 2025.
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
Published in EMNLP'25, 2025
Recommended citation: 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. https://arxiv.org/pdf/2505.15017
AutoData: A Multi-Agent System for Open Web Data Collection
Published in NeurIPS'25, 2025
Recommended citation: 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. https://arxiv.org/abs/2505.15859
Scalable Graph Generative Modeling via Substructure Sequences
Published in NeurIPS'25, 2025
Recommended citation: Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye. Scalable Graph Generative Modeling via Substructure Sequences. NeurIPS, 2025. https://arxiv.org/abs/2505.16130
LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
Published in Preprint, 2026
Recommended citation: 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. https://arxiv.org/abs/2601.02598
GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health
Published in Preprint, 2026
Recommended citation: 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. https://arxiv.org/abs/2601.18106
Molecular Representations in Implicit Functional Space via Hyper-Networks
Published in Preprint, 2026
Recommended citation: 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. https://arxiv.org/abs/2601.22327
BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
Published in Preprint, 2026
Recommended citation: Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye. BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs. Preprint, 2026. https://arxiv.org/abs/2602.14919
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
Published in ACL'26, 2026
Recommended citation: 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.
Non-Monotonic Autoregressive Sequence Model
Published in ICML'26, 2026
Recommended citation: 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.
OPBench: A Graph Benchmark to Combat the Opioid Crisis
Published in KDD'26, 2026
Recommended citation: 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. https://arxiv.org/pdf/2602.14602
talks
[ICDM’23] Hypergraph Contrastive Learning for Drug Trafficking Community Detection
Published:
I will present our work Hypergraph Contrastive Learning for Drug Trafficking Community Detection at ICDM’23.
[ICDM’25] Hypergraph Representation Learning with Adaptive Broadcasting and Receiving
Published:
I will present our work “Hypergraph Representation Learning with Adaptive Broadcasting and Receiving” at IEEE ICDM 2025, where it is a Best Paper Award Candidate.
[KDD’26] OPBench: A Graph Benchmark to Combat the Opioid Crisis
Published:
I will present our work “OPBench: A Graph Benchmark to Combat the Opioid Crisis” as an oral presentation at KDD 2026.
teaching
Leader of Teaching Assistants for CSE 40567/60567: Computer Security
graduate/undergraduate course, University of Notre Dame, Department of Computer Science and Engineering, 2024
In Spring 2024, I was honored to be selected by Prof. Ye to serve as the Teaching Assistant (TA) leader for class CSE 40567/60567: Computer Security. My responsibilities included organizing the class, overseeing grading, holding Hands-On Practices, and contributing to course design.
Leader of Teaching Assistants for CSE 40567/60567: Computer Security
Teaching Assistant, University of Notre Dame, Department of Computer Science and Engineering, 2025
In Spring 2025, I served as the Teaching Assistant (TA) leader for CSE 40567/60567: Computer Security. My responsibilities included organizing the class, overseeing grading, holding Hands-On Practices, and contributing to course design.