ME

I am a final-year Ph.D. student at Michigan State University supervised by Dr. Jiliang Tang. I also collaborate with Neil Shah, Yao Ma, Michael Galkin, and Rongrong Wang. Each of them provides a unique perspective on scientific thinking throughout my research journey. I am an organizer of the Learning on Graph Conference 2024, an exciting new conference focused on graph and geometry. The call for paper is available here, with a submission deadline of September 11th, 2024. Do not hesitate to submit your work!

I am actively seeking postdoctoral and research scientist positions for Fall 2025. My work focuses on pioneering Graph Foundation Models (GFMs) grounded in network science. Unlike conventional data-driven approaches and wish the black-box to do everything, GFMs require many non-parameterized operators with principal guidance (e.g., reasoning, search, expressiveness), due the complicated graph data. Check our recent blog and paper for more details. I am interested in exploring the future applications of GFMs in areas such as molecular graphs, scene graphs, code graphs, and beyond. Additionally, I am currently investigating the conditional generation capabilities of large language models (LLMs), with a particular focus on their self-correction abilities.

Selected Publications

The order indicates my personal preference.

• Position: Graph Foundation Models Are Already Here
  Haitao Mao*, Zhikai Chen*, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
  ICML 2024 Spotlight (335/9473)
  Collaboration with SnapChat and Intel lab
  [pdf] [Primary Blog] [Blog] [Reading List 1] [Reading List 2]

• On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
  Haitao Mao*, Guangliang Liu*, Bochuan Cao, Zhiyu Xue, Kristen Johnson, Jiliang Tang, Rongrong Wang
  Preprint [pdf]

• Revisiting Link Prediction: A Data Perspective
  Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
  ICLR 2024
  Collaboration with SnapChat
  [pdf] [Slides] [Video]

• Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
  Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
  Collaboration with JP Morgan
  Preprint [pdf]

• Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
  Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
  NeurIPS 2023
  Collaboration with SnapChat
  [pdf] [Code] [Slides] [Poster] [Video]

• Neuron Campaign for Initialization Guided by Information Bottleneck Theory
  Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
  CIKM2021 Best Short Paper (1/626)
  Work During Internship in Microsoft Research Asia
  [pdf] [Code] [Blog] [Chinese Blog] [Poster] [Slides] [Video]

• Text-space Graph Foundation Models: A Comprehensive Benchmark and New Insights
  Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
  Collaboration with Google
  Preprint [pdf][Code]

• A Data Generation Perspective to the Mechanism of In-Context Learning
  Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang
  Preprint [pdf]

• Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
  SIGKDD Explorations 2023
  Collaboration with Baidu
  [pdf] [Code] [Slides]

• Source Free Graph Unsupervised Domain Adaptation
  Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
  WSDM 2024 Best Paper Honor Mention (3/615)
  Work During Internship in Microsoft Research Asia
  [pdf] [Blog] [Code]

Awards:

• WSDM 2024 Best Paper Honor Mentioned Award (First Author) (3/615)
• CIKM 2021 Best Short Paper Award (First Author) (1/626)
• ICML 2024 Spotlight (First Author) (335/9473)
• WSDM 2024 Student Travel Award
• NeurIPS 2023 Scholar Award
• Excellent Student of High Education in Sichuan Province (30/763)
• Outstanding Graduate in University of Electronic Science and Technology of China (74/763)
• Star of Tomorrow Intern Award in Microsoft Research Asia (Top 10%)
• National First Prize in Chinese Software Cup (20/45,000) [Github]

Professional Experience

• Visiting Scholar at Hong Kong Polytechnic University (March, 2023 - September 2023): Mentored by Research Assistant Professor Wenqi Fan and Professor Qing Li
• Research Intern at Baidu (March, 2022 - September, 2022): Search Strategy Department, Mentored by Dr. Lixin Zou.
• Research Intern at Microsoft Research Asia (January, 2021 - November, 2021)
  • Data Knowledge Intelligent Group, Mentored by Principal Researcher Qiang Fu, Researcher Lun Du, and Senior Principal Researcher Manager Shi Han.
  • One news about my research.
  • Co-founded MS-Intern Guitar Club.

Support

This page is supported by Hanlin Lan, one of my best friends in undergraduate period. Thanks for his great help.