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What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020


Sep 20, 2021
Jamell Dacon, Jiliang Tang

* Under review 

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Decentralized Composite Optimization with Compression


Aug 12, 2021
Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan


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Graph Trend Networks for Recommendations


Aug 12, 2021
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li


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Jointly Attacking Graph Neural Network and its Explanations


Aug 07, 2021
Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu Aggarwal


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Trustworthy AI: A Computational Perspective


Aug 02, 2021
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

* 55 pages 

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Imbalanced Adversarial Training with Reweighting


Jul 28, 2021
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang


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Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models


Jul 15, 2021
Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu

* AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021 

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Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models


Jul 15, 2021
Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu

* AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021 

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Elastic Graph Neural Networks


Jul 05, 2021
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

* ICML 2021 (International Conference on Machine Learning) 

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Automated Self-Supervised Learning for Graphs


Jun 15, 2021
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang


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AutoLoss: Automated Loss Function Search in Recommendations


Jun 12, 2021
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang

* Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 

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Is Homophily a Necessity for Graph Neural Networks?


Jun 11, 2021
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang


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Towards the Memorization Effect of Neural Networks in Adversarial Training


Jun 09, 2021
Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil Jain, Jiliang Tang

* Preprint, under submission 

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Graph Feature Gating Networks


May 10, 2021
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal, Jiliang Tang


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The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification


May 06, 2021
Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang

* Accepted by Findings of ACL 2021 

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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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