Haitao Mao

58 papers A* 15A 2Journal 35Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
A Survey to Recent Progress Towards Understanding In-Context Learning.
NAACL (Findings)
Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Kristen Marie Johnson, Jiliang Tang
2025 J jnl
Graph Machine Learning in the Era of Large Language Models (LLMs).
ACM Trans. Intell. Syst. Technol.
Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Wenqi Fan, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
2025 — conf
On the Convergence of Moral Self-Correction in Large Language Models.
IJCNLP-AACL (long papers)
Guangliang Liu, Haitao Mao, Bochuan Cao, Xitong Zhang, Zhiyu Xue, Rongrong Wang, Kristen Marie Johnson
2025 J jnl
On the Convergence of Moral Self-Correction in Large Language Models.
CoRR
Guangliang Liu, Haitao Mao, Bochuan Cao, Zhiyu Xue, Xitong Zhang, Rongrong Wang, Kristen Marie Johnson
2025 J jnl
Stabilizing Reinforcement Learning for Honesty Alignment in Language Models on Deductive Reasoning.
CoRR
Jiarui Liu, Kaustubh D. Dhole, Yingheng Wang, Haoyang Wen, Sarah Zhang, Haitao Mao, Gaotang Li, Neeraj Varshney, Jingguo Liu, Xiaoman Pan
2025 J jnl
Universal Link Predictor By In-Context Learning on Graphs.
Trans. Mach. Learn. Res.
Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla
2024 J jnl
A Data Generation Perspective to the Mechanism of In-Context Learning.
CoRR
Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang
2024 — conf
A Pure Transformer Pretraining Framework on Text-Attributed Graphs.
LoG
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024 J jnl
A Pure Transformer Pretraining Framework on Text-attributed Graphs.
CoRR
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024 A* conf
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark.
KDD
Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
2024 J jnl
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark.
CoRR
Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
2024 J jnl
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models.
CoRR
Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
2024 — conf
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
LoG
Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
2024 J jnl
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
CoRR
Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
2024 J jnl
Graph Foundation Models.
CoRR
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 J jnl
Graph Machine Learning in the Era of Large Language Models (LLMs).
CoRR
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
2024 J jnl
Impact assessment and mechanism of water conservancy policy on carbon emission performance under the background of artificial intelligence.
Expert Syst. J. Knowl. Eng.
Junjie Xiang, Haitao Mao, Bin Yang
2024 A* conf
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis.
EMNLP
Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Marie Johnson
2024 J jnl
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis.
CoRR
Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Marie Johnson
2024 A* conf
LPFormer: An Adaptive Graph Transformer for Link Prediction.
KDD
Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
2024 A* conf
Label-free Node Classification on Graphs with Large Language Models (LLMs).
ICLR
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2024 J jnl
Neural Scaling Laws on Graphs.
CoRR
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2024 J jnl
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept.
CoRR
Guangliang Liu, Haitao Mao, Bochuan Cao, Zhiyu Xue, Kristen Marie Johnson, Jiliang Tang, Rongrong Wang
2024 J jnl
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.
CoRR
Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2024 A* conf
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.
ICML
Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024 J jnl
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.
CoRR
Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024 A* conf
Position: Graph Foundation Models Are Already Here.
ICML
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 J jnl
Research on Network Teaching Collaboration Platform Using Flipped Classroom Teaching Mode.
J. Inf. Knowl. Manag.
Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao, Meige Mao
2024 A* conf
Revisiting Link Prediction: a data perspective.
ICLR
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2024 A conf
Source Free Graph Unsupervised Domain Adaptation.
WSDM
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2024 A* conf
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
NeurIPS
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024 J jnl
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
CoRR
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024 — conf
The 1st International Workshop on Graph Foundation Models (GFM).
WWW (Companion Volume)
Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
2024 — conf
Towards Neural Scaling Laws on Graphs.
LoG
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2024 J jnl
Universal Link Predictor By In-Context Learning on Graphs.
CoRR
Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla
2024 A* conf
Whole Page Unbiased Learning to Rank.
WWW
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
2023 J jnl
Adaptive Pairwise Encodings for Link Prediction.
CoRR
Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
2023 A* conf
Alternately Optimized Graph Neural Networks.
ICML
Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
2023 A* conf
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
NeurIPS
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023 J jnl
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
CoRR
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023 A* conf
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NeurIPS
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023 J jnl
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
CoRR
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023 A* conf
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.
NeurIPS
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023 J jnl
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.
CoRR
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023 J jnl
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs.
CoRR
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023 J jnl
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
SIGKDD Explor.
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023 J jnl
Form 10-K Itemization.
CoRR
Yanci Zhang, Mengjia Xia, Mingyang Li, Haitao Mao, Yutong Lu, Yupeng Lan, Jinlin Ye, Rui Dai
2023 J jnl
Label-free Node Classification on Graphs with Large Language Models (LLMS).
CoRR
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2023 J jnl
Revisiting Link Prediction: A Data Perspective.
CoRR
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2022 A* conf
A Large Scale Search Dataset for Unbiased Learning to Rank.
NeurIPS
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022 J jnl
A Large Scale Search Dataset for Unbiased Learning to Rank.
CoRR
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022 A* conf
Neuron with Steady Response Leads to Better Generalization.
NeurIPS
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
2022 J jnl
Whole Page Unbiased Learning to Rank.
CoRR
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
2021 A conf
Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
CIKM
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 J jnl
Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
CoRR
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 J jnl
Neuron with Steady Response Leads to Better Generalization.
CoRR
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
2021 J jnl
Source Free Unsupervised Graph Domain Adaptation.
CoRR
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2018 J jnl
A machine learning based computer-aided molecular design/screening methodology for fragrance molecules.
Comput. Chem. Eng.
Lei Zhang, Haitao Mao, Linlin Liu, Jian Du, Rafiqul Gani