Shengke Xue | IEEE Collabratec®

Dr. Shengke Xue

Shengke Xue received the B.S. degree in communication engineering, from the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China, in 2015. Currently, He is pursuing the Ph.D. degree with the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China. At present, his research interests include pattern recognition, image processing, and machine learning. He was a student member of the IEEE.
Special Skills

Technical Specialities

Python, Tensorflow, Pytorch, MATLAB, C , Caffe, LaTeX

Additional Specialities

Badminton, Rubik's cube
Computational intelligence
Image processing
Machine learning
Pattern recognition
Software Engineer
Alibaba (China) Co., Ltd
Shengke Xue, Ruiliang Bai, and Xinyu Jin, "2D probabilistic undersampling pattern optimization for MR image reconstruction," arXiv preprint, vol. 2003.03797, no. 1, pp. 1 - 15, 2020.
Shengke Xue, Wenyuan QiuFan Liu, and Xinyu Jin, "Faster image super-resolution by improved frequency-domain neural networks," Signal, Image and Video Processing, 2019.
Shengke Xue, Wenyuan Qiu Fan Liu, and Xinyu Jin, "Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion," arXiv preprint, vol. 1901.01711, pp. 1 - 11, 2019.
Shengke Xue, Wenyuan QiuFan Liu, and Xinyu Jin, "Wavelet-based Residual Attention Network for Image Super-Resolution," Neurocomputing, 2019.
Shengke Xue, Wenyuan QiuFan Liu, and Xinyu Jin, "Low-Rank Tensor Completion by Truncated Nuclear Norm Regularization," in 2018 24th International Conference on Pattern Recognition (ICPR), 2018, pp. 2600 - 2605.
Zhejiang University
Computer Sciences and Information Technologies , 2020
Zhejiang University of Technology
Bachelor of Engineering
Engineering , 2015