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Xia Hu

Adaptive Label Smoothing To Regularize Large-Scale Graph Training


Aug 30, 2021
Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

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Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study


Aug 24, 2021
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

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* Preprint 
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AutoVideo: An Automated Video Action Recognition System


Aug 10, 2021
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu

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* https://github.com/datamllab/autovideo 
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Dirichlet Energy Constrained Learning for Deep Graph Neural Networks


Jul 06, 2021
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

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Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning


Jun 29, 2021
Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte, Parmis Nadaf, Ke Li, Xia Hu

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Fairness via Representation Neutralization


Jun 23, 2021
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu

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Model-Based Counterfactual Synthesizer for Interpretation


Jun 16, 2021
Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu

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* 11 pages in total; To appear in KDD'21; 
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DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning


Jun 11, 2021
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

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* Accepted by ICML 2021 
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Simplifying Deep Reinforcement Learning via Self-Supervision


Jun 10, 2021
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu

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A General Taylor Framework for Unifying and Revisiting Attribution Methods


May 28, 2021
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu

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Learning Disentangled Representations for Time Series


May 21, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu

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Interpretable Time-series Representation Learning With Multi-Level Disentanglement


May 17, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu

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Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution


Apr 14, 2021
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu

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DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization


Mar 26, 2021
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu

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Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models


Mar 18, 2021
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu

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* Accepted by NAACL 2021 
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Model Complexity of Deep Learning: A Survey


Mar 08, 2021
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian

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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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Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments


Feb 04, 2021
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu

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* Accepted by ICLR 2021 
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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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Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection


Nov 17, 2020
Ruixiang Tang, Mengnan Du, Xia Hu

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Towards Interaction Detection Using Topological Analysis on Neural Networks


Nov 04, 2020
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting Hsiang Wang, Ying Shan, Xia Hu

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Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection


Oct 29, 2020
Imtiaz Ahmed, Travis Galoppo, Xia Hu, Yu Ding

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TODS: An Automated Time Series Outlier Detection System


Sep 18, 2020
Kwei-Harng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu

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* Under Review 
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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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Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning


Sep 16, 2020
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu

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* Accepted by ICDM 2020 
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