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ExAD: An Ensemble Approach for Explanation-based Adversarial Detection


Mar 22, 2021
Raj Vardhan, Ninghao Liu, Phakpoom Chinprutthiwong, Weijie Fu, Zhenyu Hu, Xia Ben Hu, Guofei Gu

* 15 pages, 10 figures 

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Dynamic Memory based Attention Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu


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Sparse-Interest Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu


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Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation


Jan 18, 2021
Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu


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Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability


Sep 16, 2020
Ninghao Liu, Yunsong Meng, Xia Hu, Tie Wang, Bo Long


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Explainable Recommender Systems via Resolving Learning Representations


Aug 21, 2020
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi


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An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks


Jun 18, 2020
Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu


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Adversarial Machine Learning: An Interpretation Perspective


Apr 23, 2020
Ninghao Liu, Mengnan Du, Xia Hu


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Learning to Hash with Graph Neural Networks for Recommender Systems


Mar 04, 2020
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu

* 11 pages, 7 figures 

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Learning Credible Deep Neural Networks with Rationale Regularization


Aug 13, 2019
Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu

* ICDM 2019 

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Deep Structured Cross-Modal Anomaly Detection


Aug 11, 2019
Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu

* 8 pages, in Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN) 

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Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding


May 25, 2019
Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu


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Deep Representation Learning for Social Network Analysis


Apr 18, 2019
Qiaoyu Tan, Ninghao Liu, Xia Hu


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On Attribution of Recurrent Neural Network Predictions via Additive Decomposition


Mar 27, 2019
Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu

* The 2019 Web Conference (WWW 2019) 

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Techniques for Interpretable Machine Learning


Jul 31, 2018
Mengnan Du, Ninghao Liu, Xia Hu


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Towards Explanation of DNN-based Prediction with Guided Feature Inversion


May 26, 2018
Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu


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Contextual Outlier Interpretation


May 04, 2018
Ninghao Liu, Donghwa Shin, Xia Hu


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