Yu Zhou (周宇)

Yu Zhou 

Email: yu.zhou [AT] szu [dot] edu [dot] cn
Contact: RM 411-1, Computer Science Building, South Campus, Shenzhen University, Nanshan District, Shenzhen, China

I am an assistant professor at Research Institute for Future Media Computing, College of Computer Science and Software Engineering, Shenzhen University. Before Joining Shenzhen University, from Feb 2017 to June 2017, I was a postdoctoral research fellow of Video Technology Research Centre directed by Prof. Sam Kwong in Department of Computer Science at City University of Hong Kong. I completed my Ph.D. in Deparment of Computer Science at City University of Hong Kong, working with Prof. Sam Kwong. Prior to that, I completed my master's degree in Electrical Engineering at Xidian University, supervised by Prof. Licheng Jiao and Prof. Shuyuan Yang in the School of Electrical Engineering, where I was a postgraduate student in Key Laboratory of Intelligent Perception and Image Understanding of Minstry of Education . I received my bachelor's degree in Electrical Engineering at Xidian University.

Education

Research

Experience

Papers

Peer-reviewed Journal Articles

Nonnegtive Matrix Factorization with Mixed Hypergraph Regularization for Community Detection

Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, Wei Gao, Information Sciences, vol. 435, pp. 263-281, 2018.

Collaborative Block Compressed Sensing Reconstruction with Dual-Domain Sparse Representation

Yu Zhou, Hainan Guo, Information Sciences, accepted, 2018.

Quaternion Representation Based Visual Saliency for Stereoscopic Image Quality Assessment

Xu Wang, Lin Ma, Sam Kwong, Yu Zhou, Signal Processing, vol. 145, 2017.

An Adaptive Coevolutionary Mmetic Algorithm for Examination timetabling Problems

Yu Lei, Maoguo Gong, Licheng Jiao, Jiao Shi, Yu Zhou, International Journal of Bio-inspired Computation, vol. 10, Issue 4, pp. 248-257, 2017.

A Two-phase Evolutionary Approach for Compressive Sensing Reconstruction

Yu Zhou, Sam Kwong, Hainan Guo, Xiao Zhang, Qingfu Zhang, IEEE Transactions on Cybernetics, vol. 47, no. 9, pp.2651-2663, 2017.

Problem Specific MOEA/D for Barrier Coverage With Wireless Sensors

Xiao Zhang, Yu Zhou*, Qingfu Zhang, Victor Lee, Minming Li, IEEE Transactions on Cybernetics, vol 47, no. 11, pp. 3854-3865, 2017.

Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization

Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang, IEEE Transactions on Evolutionary Computation, vol 21, no. 4, pp. 554-568, 2017.

A Phase Congruency based Patch Evaluation for Complexity Reduction in Multi-dictionary Based Single-Image Superresolution Reconstruction

Yu Zhou, Sam Kwong, Wei Gao, Xu Wang, Information Sciences, vol 367, Issue C, pp. 337-353, 2016.

Bilevel Optimization of Block Compressed Sensing with Perceptually Nonlocal Similarity

Yu Zhou, Sam Kwong, Hainan Guo, Wei Gao, Xu Wang, Information Sciences, vol 360, pp. 1-20, 2016.

SSIM-Based Game Theory Approach for Rate-Distortion Optimized Intra Frame CTU-Level Bit Allocation

Wei Gao, Sam Kwong, Yu Zhou, Hui Yuan, IEEE Transactions on Multimedia, vol 18, no. 6, pp. 988-999, 2016.

Using Simulation and Optimization to Characterize Durations of Emergency Department Service Times with Incomplete Data

Hainan Guo, David Goldsman, Kwok-leung Tsui, Yu Zhou, Shui-Yee Wong, International Journal of Production Research, vol 54, no. 21, pp. 6494-6511, 2016.

Peer-reviewed Conference Papers

Low-sampling Imagery Data Recovery by Deep Learning Inference and Iterative Approach

Jiping Lin, Yu Zhou and Junhao Kang, International Conference on Knowledge Science, Engineering and Management (KSEM), Athens, Greece, 2019.

An Improved Discretization-based Feature Selection via Particle Swarm Optimization

Jiping Lin, Yu Zhou and Junhao Kang, International Conference on Knowledge Science, Engineering and Management (KSEM), Athens, Greece, 2019.

Influence of Data Quality on Deep Learning Framework for Point Sets

Xuanzhen Wen, Xu Wang, Yu Zhou and Lin Ma, IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR), Irkutsk, Russia, 2019.

Feature Selection of High Dimensional Data by Adaptive Potential Particle Swarm Optimization

Xingyue Huang, Yizhou Chi, Yu Zhou, IEEE Congress on Evolutionay Computation (CEC), Wellington, New Zealand, 2019.

Single Image Superresolution by Multiple Geometrical Regressors

Yu Zhou, Sam Kwong, Junhui Hou, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Kuala Lumpur, Malaysia, 2017.

Adaptive Patch-based Sparsity Estimation for Image via MOEA/D

Yu Zhou, Sam Kwong, Qingfu Zhang, Mengyuan Wu, IEEE Congress on Evolutionay Computation (CEC), Vancouver, Canada, 2016.

Complexity Reduction in Multi-dictionary based Single-image superresolution Reconstruction

Yu Zhou, Sam Kwong, Wei Gao, Xiao Zhang, Xu Wang, International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, 2015.

Multiobjecitve Optimization of Barrier Coverage with Wireless Sensors

Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor Lee, Minming Li, Evolutionary Multi-Criterion Optimization (EMO), GuimarĂ£es, Portugal, 2015.

Phase Congruency Analysis of Down-sampled and Blurring Images for Foreground Extraction

Wei Gao, Sam Kwong, Yu Zhou, Xu Wang, International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, 2015.

Complex Singular Value Decomposition based Stereoscopic Image Quality Assessment

Xu Wang, Lei Cao, Lin Ma, Yu Zhou, Sam Kwong, International Conference on Visual Communications and Image Processing (VCIP), Chengdu, China, 2016.

Multiscale Phase Congruency Analysis for Image Edge Visual Saliency Detection

Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu, International Conference on Machine Learning and Cybernetics, Jeju, Korea, 2016.

Smooth View Quality Oriented Bit Allocation Optimization for 3D Video Coding

Xu Wang, Sam Kwong, Wei Gao, Yu Zhou, IEEE International Conference on Systems, Man and Cybernetics (SMC), Hong Kong, 2015.

PhD Thesis

Modeling and Optimization in Compressed Sensing and Sparse Coding Applications [PDF]

Yu Zhou, Department of Computer Science, City University of Hong Kong, 2017

Teaching

Academic activities

I have given a talk or particapted in the following international conferences:

I also serve as a reviewer for the following international Journals:

Awards

Student supervision

Research projects

Some project webpages are still under construction.

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