Publications

Underline indicates student I mentored. * indicates equal contribution.

The full paper list can be found at Google Scholar

Moral Reasoning with LLMs

• A Survey to Recent Progress Towards Understanding In-Context Learning
  Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang
  NAACL 2025 Findings
  [pdf][Reading List][Short Summary]

• Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis
  Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Johns.
  EMNLP 2024 (Recommendation for best paper)
  [pdf][Short Summary]

• 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][code][Short Summary]

Graph Foundation Model inspired by Network Science

• 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][Short Summary][code]

• 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
  [pdf] [Blog] [Reading List 1] [Reading List 2]

• 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][Short Summary] [Slides]

• 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][Short Summary] [Code] [Slides]

• A Pure Transformer Pretraining Framework on Text-attributed Graphs
  Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
  LoG 2024
  [pdf][Short Summary]

• Do Neural Scaling Laws Exist on Graph Self-Supervised Learning
  Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Tianfan Fu, Yao Ma
  LoG 2024
  [pdf][code]

• Neural Scaling Law on Graph
  Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
  Collaboration with SnapChat
  LoG 2024
  [pdf][code] [Blog]

• 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
  NeurIPS 2024 Dataset & Benchmark Track
  [pdf][Short Summary][Code]

Internship Works

• Whole Page Unbiased Learning to Rank
  Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
  WebConference 2024 Oral (198/2,008) [pdf][Short Summary]
  Work During Internship in Baidu
  

• 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][Short Summary] [Blog] [Code]

• Neuron with Steady Response Leads to Better Generalization
  Haitao Mao*, Lun Du*, Qiang Fu*, Xu Chen*, Wei Fang, Shi Han, Dongmei Zhang
  NeurIPS2022
  Work During Internship in Microsoft Research Asia
  [pdf][Short Summary] [Code] [Slides] [Poster]

• 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][Short Summary] [Code] [Blog] [Slides]

• Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
  Wei Jin*, Haitao Mao*, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, and Xianfeng Tang
  NeurIPS 2022 Datasets and Benchmarks Track
  Collaboration with Amazon
  [pdf] [Short Summary] [Homepage] [Instructions] [Code]

• A Large Scale Search Dataset for Unbiased Learning to Rank
  Haitao Mao*, Lixin Zou*, Xiaokai Chu, Jiliang Tang, Shuaiqiang Wang, Wenwen ye, Dawei yin.
  NeurIPS 2022 Datasets & Benchmarks Track
  Work During Internship in Baidu
  [pdf][Short Summary] [Code1] [Code2] [Dataset Homepage2]