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Huan Liu

Graph Learning: A Survey


May 03, 2021
Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu

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* IEEE Transactions on Artificial Intelligence (2021) 
 * 19 pages, 6 figures 
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Causal Learning for Socially Responsible AI


Apr 25, 2021
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu

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* 8 pages, 3 figures, accepted at IJCAI21 
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DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing


Apr 18, 2021
Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang

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* Accepted in CVPRW 2021 
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A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning


Apr 18, 2021
Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang

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* Accepted in CVPRW 2021 
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Few-shot Network Anomaly Detection via Cross-network Meta-learning


Feb 22, 2021
Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu

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* Accepted by The Web Conference 2021 
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Causal Mediation Analysis with Hidden Confounders


Feb 21, 2021
Lu Cheng, Ruocheng Guo, Huan Liu

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* 11 pages, 3 figures 
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Causal Inference for Time series Analysis: Problems, Methods and Evaluation


Feb 11, 2021
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu

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Indirect Domain Shift for Single Image Dehazing


Feb 05, 2021
Huan Liu, Chen Wang, Jun Chen

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Socially Responsible AI Algorithms: Issues, Purposes, and Challenges


Jan 12, 2021
Lu Cheng, Kush R. Varshney, Huan Liu

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* 45 pages, 7 figures 
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Fact-Enhanced Synthetic News Generation


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

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* AAAI 2021 Preprint Version 
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"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis


Dec 10, 2020
Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V Mancenido, Huan Liu


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Improving Cyberbully Detection with User Interaction


Nov 01, 2020
Suyu Ge, Lu Cheng, Huan Liu

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Be More with Less: Hypergraph Attention Networks for Inductive Text Classification


Nov 01, 2020
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu

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* Accepted by EMNLP 2020 
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Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach


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

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* 10 pages, under review 
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Toward Privacy and Utility Preserving Image Representation


Oct 17, 2020
Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu

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* Accepted as a working paper in SBP-BRiMS 2020 
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Causal Adversarial Network for Learning Conditional and Interventional Distributions


Sep 21, 2020
Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu

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CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions


Aug 26, 2020
Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu

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Long-Term Effect Estimation with Surrogate Representation


Aug 19, 2020
Lu Cheng, Ruocheng Guo, Huan Liu

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* 9 pages, 7 figures 
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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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An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy


Jun 07, 2020
Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan

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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

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* 17 pages, 5 figures, 4 tables 
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Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation


Mar 19, 2020
Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu

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Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis


Jan 04, 2020
Ghazaleh Beigi, Jiliang Tang, Huan Liu

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* This worked is published at ACM Transactions on Intelligent Systems and Technology(ACM TIST), 2019 
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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

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* 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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Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data


Dec 22, 2019
Ruocheng Guo, Jundong Li, Huan Liu

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* 10 pages, 5 figures, Accepted to SDM'20 
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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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Graph Neural Networks with High-order Feature Interactions


Aug 19, 2019
Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu

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