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Single Image Reflection Removal through Cascaded Refinement


Nov 15, 2019
Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft

* 10 pages, 8 figures 

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Robust Local Features for Improving the Generalization of Adversarial Training


Sep 23, 2019
Chubiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft


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Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples


Aug 17, 2019
Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft

* 10 pages 

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AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets


May 21, 2019
Xiaosen Wang, Kun He, John E. Hopcroft

* 15 pahes, 6 figures 

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A New Anchor Word Selection Method for the Separable Topic Discovery


May 10, 2019
Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft

* 18 pages, 4 figures 

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Improving the Generalization of Adversarial Training with Domain Adaptation


Oct 24, 2018
Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft


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Randomness in Deconvolutional Networks for Visual Representation


Feb 20, 2018
Kun He, Jingbo Wang, Haochuan Li, Yao Shu, Mengxiao Zhang, Man Zhu, Liwei Wang, John E. Hopcroft

* 15 pages, 10 Figures, submitted to a 2018 Conference 

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Curvature-based Comparison of Two Neural Networks


Jan 21, 2018
Tao Yu, Huan Long, John E. Hopcroft


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The Local Dimension of Deep Manifold


Nov 05, 2017
Mengxiao Zhang, Wangquan Wu, Yanren Zhang, Kun He, Tao Yu, Huan Long, John E. Hopcroft

* 11 pages, 11 figures 

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Snapshot Ensembles: Train 1, get M for free


Apr 01, 2017
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger


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Hidden Community Detection in Social Networks


Feb 24, 2017
Kun He, Yingru Li, Sucheta Soundarajan, John E. Hopcroft

* 10 pages, 6 figures, 4 tables, submitted to KDD 2017 

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Deep Manifold Traversal: Changing Labels with Convolutional Features


Mar 17, 2016
Jacob R. Gardner, Paul Upchurch, Matt J. Kusner, Yixuan Li, Kilian Q. Weinberger, Kavita Bala, John E. Hopcroft


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