Office: QT402
Department of Computing
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong
Email: csjunxu [AT] comp [DOT] polyu [DOT] edu [DOT] hk

[CV] [Google Citation] [Github]

About Me

My name is Jun XU. In Mar 2018, I obtained my PhD degree in Department of Computing, The Hong Kong Polytechnic University, supervised by Prof. David Zhang and Prof. Lei Zhang. I received my B.Sc and M.Sc from School of Mathematic Science, Nankai University, in 2011 and 2014, respectively. From July 1st, 2018, I will work as a Postdoctoral Fellow with Prof. Yasutaka Furukawa, in Simon Fraser University.

Publication

Real-world Noisy Image Denoising: A New Benchmark
Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang
[Preprint], 2018.

Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu, Wangpeng An, David Zhang, Lei Zhang
[Preprint], 2018.

External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising
Jun Xu, Lei Zhang, David Zhang
IEEE Transactions on Image Processing (TIP), 2018
[Paper] [Supp] [Github] [Bibtex]

A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping
Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang
Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018.
[Paper] [Supp] [Code] [Bibtex]

A PID Controller Approach for Stochastic Optimization of Deep Networks
Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang
Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. (Spotlight)
[Paper] [Supp] [Code] [Bibtex]

Cross Version Defect Prediction with Representative Data via Sparse Subset Selection
Zhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang, Jin Liu, Jun Xu
International Conference on Program Comprehension (ICPC), Gothenburg, Sweden, 2018.
[Paper] [Supp] [Code] [Dataset] [Bibtex]

Partial Deconvolution with Inaccurate Blur Kernel
Dongwei Ren, Wangmeng Zuo, David Zhang, Jun Xu, Lei Zhang
IEEE Transactions on Image Processing (TIP), 2017.
[Paper]

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng
International Conference on Computer Vision (ICCV), Venice, Italy, 2017.
[Paper] [Supp] [Poster] [Github] [Bibtex]

Patch Group based Bayesian Learning for Blind Image Denoising
Jun Xu, Dongwei Ren, Lei Zhang, David Zhang
Asian Conference on Computer Vision (ACCV), Taipei, Taiwan, 2016.
[Paper] [Supp] [Code] [Bibtex]

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang and Xiangchu Feng
International Conference on Computer Vision (ICCV), Santiago, Chile, 2015.
[Paper] [Supp] [Poster] [Testing Code] [Training Code] [Bibtex]

Reweighted Sparse Subspace Clustering
Jun Xu, Kui Xu, Ke Chen, Jishou Ruan
Computer Vision and Image Understanding (CVIU), 2015.
[Paper] [Code] [Freiburg-Berkeley Motion Segmentation Dataset (137 Sequences, 54.7M)] [Bibtex]

newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation
Y. Zhang, J. Xu, W. Zheng, C. Zhang, X. Qiu, K. Chen, J. Ruan
Computational Biology and Chemistry, 2014.
[Paper] [Bibtex]

All things are difficult before they are easy.
— Thomas Fuller