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Enhancing Model Robustness and Fairness with Causality: A Regularization Approach


Oct 03, 2021
Zhao Wang, Kai Shu, Aron Culotta


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WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding


Aug 28, 2021
Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah


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Labeled Data Generation with Inexact Supervision


Jun 08, 2021
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang


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You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features


May 01, 2021
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang


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User Preference-aware Fake News Detection


Apr 25, 2021
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun

* Accepted by SIGIR'21. Code is available at https://github.com/safe-graph/GNN-FakeNews 

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Fact-Enhanced Synthetic News Generation


Dec 13, 2020
Kai Shu, Yichuan Li, Kaize Ding, Huan Liu

* AAAI 2021 Preprint Version 

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Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach


Oct 30, 2020
Ahmadreza Mosallanezhad, Kai Shu, Huan Liu

* 10 pages, under review 

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Graph Prototypical Networks for Few-shot Learning on Attributed Networks


Jun 23, 2020
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu


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Learning with Weak Supervision for Email Intent Detection


May 26, 2020
Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan Dumais

* ACM SIGIR 2020 
* 10 pages, 3 figures 

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Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News


Apr 03, 2020
Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, Huan Liu

* 17 pages, 5 figures, 4 tables 

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Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements


Jan 02, 2020
Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu

* Submitted as an introductory chapter for the edited book on "Fake News, Disinformation, and Misinformation in Social Media- Emerging Research Challenges and Opportunities", Springer Press 

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Deep causal representation learning for unsupervised domain adaptation


Oct 28, 2019
Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu


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Applications of Social Media in Hydroinformatics: A Survey


May 01, 2019
Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Kai Shu, Huan Liu

* 37pages 

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Graph Neural Networks for User Identity Linkage


Mar 06, 2019
Wen Zhang, Kai Shu, Huan Liu, Yalin Wang

* 7 pages, 3 figures 

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Exploiting Emotions for Fake News Detection on Social Media


Mar 05, 2019
Chuan Guo, Juan Cao, Xueyao Zhang, Kai Shu, Miao Yu

* 7 pages, 6 figures 

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Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications


Sep 14, 2017
Fred Morstatter, Kai Shu, Suhang Wang, Huan Liu


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Fake News Detection on Social Media: A Data Mining Perspective


Sep 03, 2017
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu

* ACM SIGKDD Explorations Newsletter, 2017 

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