Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Probability Learning based Tabu Search for the Budgeted Maximum Coverage Problem

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Natural Language Adversarial Attacks and Defenses in Word Level

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

* 13 pages, 3 figures, 6 tables 

  Access Paper or Ask Questions

Robust Local Features for Improving the Generalization of Adversarial Training

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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

Nov 13, 2018
Mumtaz A. Kaloi, Kun He

* 8 pages, 8 figures 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Improving the Generalization of Adversarial Training with Domain Adaptation

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

An Iterative Path-Breaking Approach with Mutation and Restart Strategies for the MAX-SAT Problem

Aug 10, 2018
Zhen-Xing Xu, Kun He, Chu-Min Li


  Access Paper or Ask Questions

Hashing with Binary Matrix Pursuit

Aug 06, 2018
Fatih Cakir, Kun He, Stan Sclaroff

* 23 pages, 4 figures. In Proceedings of European Conference on Computer Vision (ECCV), 2018 

  Access Paper or Ask Questions

Hashing with Mutual Information

Jun 25, 2018
Fatih Cakir, Kun He, Sarah Adel Bargal, Stan Sclaroff


  Access Paper or Ask Questions

Local Descriptors Optimized for Average Precision

Apr 17, 2018
Kun He, Yan Lu, Stan Sclaroff

* 13 pages, 8 figures. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions