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Node Similarity Preserving Graph Convolutional Networks

Nov 19, 2020
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang

* WSDM 2021 

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Personalized Multimodal Feedback Generation in Education

Oct 31, 2020
Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang

* Accepted in The 28th International Conference on Computational Linguistics (COLING 2020) 

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To be Robust or to be Fair: Towards Fairness in Adversarial Training

Oct 13, 2020
Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang


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A Unified View on Graph Neural Networks as Graph Signal Denoising

Oct 05, 2020
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah


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Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning

Sep 28, 2020
Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang

* Accepted by EMNLP 2020 

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Representation Learning from Limited Educational Data with Crowdsourced Labels

Sep 23, 2020
Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu

* IEEE Transactions on Knowledge and Data Engineering (Accepted) 

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Yet Meta Learning Can Adapt Fast, It Can Also Break Easily

Sep 02, 2020
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang

* Meta Learning Robustnss 

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Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection

Aug 31, 2020
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang


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Linear Convergent Decentralized Optimization with Compression

Jul 01, 2020
Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan


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Graph Convolutional Networks against Degree-Related Biases

Jun 28, 2020
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu Aggarwal, Prasenjit Mitra, Suhang Wang

* Preprint, under review 

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Self-supervised Learning on Graphs: Deep Insights and New Direction

Jun 17, 2020
Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang


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XGNN: Towards Model-Level Explanations of Graph Neural Networks

Jun 03, 2020
Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji


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Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models

May 27, 2020
Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang

* 10 pages 

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Non-IID Graph Neural Networks

May 22, 2020
Yiqi Wang, Yao Ma, Charu Aggarwal, Jiliang Tang


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Graph Structure Learning for Robust Graph Neural Networks

May 21, 2020
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang

* Accepted by KDD 2020 

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Attacking Black-box Recommendations via Copying Cross-domain User Profiles

May 17, 2020
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li


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Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms

May 16, 2020
Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu

* The 21th International Conference on Artificial Intelligence in Education(AIED), 2020 

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Siamese Neural Networks for Class Activity Detection

May 15, 2020
Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu

* The 21th International Conference on Artificial Intelligence in Education(AIED), 2020 

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DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

May 13, 2020
Yaxin Li, Wei Jin, Han Xu, Jiliang Tang

* Adversarial attacks and defenses, Pytorch library 

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Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Mar 03, 2020
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang

* 22 pages, 7 figures 

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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

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

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Graduate Employment Prediction with Bias

Dec 27, 2019
Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang


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Characterizing the Decision Boundary of Deep Neural Networks

Dec 26, 2019
Hamid Karimi, Tyler Derr, Jiliang Tang

* Please contact the first author for any issue or the question regarding this paper 

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Learning Multi-level Dependencies for Robust Word Recognition

Nov 22, 2019
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu


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Does Gender Matter? Towards Fairness in Dialogue Systems

Oct 16, 2019
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang

* 12 pages 

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A Double Residual Compression Algorithm for Efficient Distributed Learning

Oct 16, 2019
Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan


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Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Oct 09, 2019
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain

* survey, adversarial attacks, defenses 

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Say What I Want: Towards the Dark Side of Neural Dialogue Models

Sep 27, 2019
Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang

* 11 pages, 2 figures 

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