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Enhancing the Transferability of Adversarial Attacks through Variance Tuning


Mar 29, 2021
Xiaosen Wang, Kun He

* Accepted by CVPR 2021 

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Boosting Adversarial Transferability through Enhanced Momentum


Mar 19, 2021
Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He

* 13 pages 

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Admix: Enhancing the Transferability of Adversarial Attacks


Jan 31, 2021
Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He

* 10 pages 

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Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem


Dec 28, 2020
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-min Li

* Accepted by AAAI 2021 

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Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization


Oct 17, 2020
Min Zhang, Yao Shu, Kun He


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Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks


Sep 14, 2020
Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He

* 11 pages, 1 figure, 10 tables; method improved, more experiments added, appendix added 

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Fast Gradient Projection Method for Text Adversary Generation and Adversarial Training


Aug 09, 2020
Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He

* 10 pages, 1 figure, 5 tables 

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Probability Learning based Tabu Search for the Budgeted Maximum Coverage Problem


Jul 12, 2020
Liwen Li, Zequn Wei, Jin-Kao Hao, Kun He


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Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels


Feb 28, 2020
Daizong Liu, Shuangjie Xu, Pan Zhou, Kun He, Wei Wei, Zichuan Xu

* Because of the novel coronavirus (2019-nCoV) in Wuhan, China, we can not get the codes in the locked lab. Some authors do not agree to submit. We will re-submit it once we get our codes 

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Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting


Feb 03, 2020
Xinze Zhang, Kun He, Yukun Bao


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Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem


Jan 22, 2020
Kun He, Min Zhang, Jianrong Zhou, Yan Jin, Chu-min Li

* 7 pages, 2 figures, 3 tables 

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Adaptive Large Neighborhood Search for Circle Bin Packing Problem


Jan 20, 2020
Kun He, Kevin Tole, Fei Ni, Yong Yuan, Linyun Liao

* 13 pages, 6 figures, 6 tables 

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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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Natural Language Adversarial Attacks and Defenses in Word Level


Sep 24, 2019
Xiaosen Wang, Hao Jin, Kun He

* 13 pages, 3 figures, 6 tables 

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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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Adversarially Robust Generalization Just Requires More Unlabeled Data


Jun 03, 2019
Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John Hopcroft, Liwei Wang

* 16 pages. Submitted to NeurIPS 2019 

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A Learning based Branch and Bound for Maximum Common Subgraph Problems


May 22, 2019
Yan-li Liu, Chu-min Li, Hua Jiang, Kun He

* 6 pages, 4 figures, uses ijcai19.sty 

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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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Effective reinforcement learning based local search for the maximum k-plex problem


Mar 13, 2019
Yan Jin, John H. Drake, Una Benlic, Kun He


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Child Gender Determination with Convolutional Neural Networks on Hand Radio-Graphs


Nov 13, 2018
Mumtaz A. Kaloi, Kun He

* 8 pages, 8 figures 

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Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation


Oct 28, 2018
Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John Hopcroft

* 17 pages, 6 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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Hashing as Tie-Aware Learning to Rank


Oct 09, 2018
Kun He, Fatih Cakir, Sarah Adel Bargal, Stan Sclaroff

* 15 pages, 3 figures. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 

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Multilevel Language and Vision Integration for Text-to-Clip Retrieval


Sep 27, 2018
Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko


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