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Yu Zhou

Research Institute for Future Media Computing, Shenzhen University.

Contact: RM 411-1, Computer Science Building, South Campus, Shenzhen University, Nanshan District, Shenzhen, China

I am an associate 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

  • Intelligent multimedia information processing
  • Computational intelligence

Experience

  • Assistant professor, Shenzhen University, Sept 2017 – present
  • Postdoctoral research fellow, City University of Hong Kong, Feb 2017 – July 2017
  • Project Engineer, City University of Hong Kong Shenzhen Research Institute, Nov 2016 – Jan 2017
  • Algorithm Engineer, Research Institute of Navigation Technology, April 2012 – July 2013

Publications

Peer-reviewed Journal Articles

  • [1] Y. Zhou, Y. Qiu and S. Kwong, Region Purity-based Local Feature Selection: A Multi-Objective Perspective, IEEE Transactions on Evolutionary Computation, 2022.

  • [2] Y. Zhou, N. Yang, X. Huang, J. Lee and S. Kwong, A Novel Multiobjective Genetic Programming Approach to Cancer Diagnosis through Microarray Data, IEEE Transactions on Cybernetics, 2023.

  • [3] Y. Zhou, Z. Yang, X. Zhang and Y. Wang, A Hybrid Attention based Deep Neural Network for Simultaneous Multi-sensor Pruning and Human Activity Recognition, IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25363-25372, 2022.

  • [4] Y. Zhou, Y. Chen, X. Zhang, P. Lai, L. Huang and J. Jiang, A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing, IEEE Transactions on Emerging Topics in Computational Intelligence, 2023.

  • [5] Y. Zhou, S. Kwong, H. Guo, X. Zhang and Q. Zhang, A Two-Phase Evolutionary Approach for Compressive Sensing Reconstruction, IEEE Transactions on Cybernetics, vol. 47, no.9, pp. 2651-2663, 2017.

  • [6] X. Zhang, Y. Zhou*, Q. Zhang, V. C. Lee and M. Li; Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors, IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3854-3865, 2017.

  • [7] Y. Zhou, J. Kang, S. Kwong, X. Wang and Q. Zhang, An evolutionary multi-objective optimization framework of discretization-based feature selection for classification, Swarm and Evolutionary Computation, 100770, 2021.

  • [8] Y. Zhou, W. Zhang, J. Kang, X. Zhang and X. Wang, A problem-specific non-dominated sorting genetic algorithm for supervised feature selection, Information sciences, vol. 547, pp. 841-859, 2021.

  • [9] Y. Zhou, J. Lin and H. Guo, Feature subset selection via an improved discretization-based particle swarm optimization, Applied soft computing, 106794, 2021.

  • [10] Y. Zhou, J. Kang and H. Guo, Many-objective optimization of feature selection based on two-level particle cooperation, Information sciences, vol. 532, pp. 91-109, 2020.

  • [11] Y. Zhou, H. Guo, Collaborative Block Compressed Sensing Reconstruction with Dual-Domain Sparse Representation, Information Sciences, vol. 472, pp. 77-93, 2019.

  • [12] M. Wu、 K. Li、S. Kwong、Y. Zhou* and Q. Zhang, Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, vol. 21, pp. 554-568, 2017.08, JCR-Q1.

  • [13] H. Guo, J. Ma, R. Wang and Y. Zhou*, Feature library-assisted surrogate model for evolutionary wrapper-based feature selection and classification, Applied Soft Computing, 110241, 2022.

  • [14] Y. Zhou, C. Xie, S. Sun, X. Zhang and Y. Wang, A Self-Supervised Human Activity Recognition Approach via Body Sensor Networks in Smart City, IEEE Sensors Journal, 2023.

Peer-reviewed Conference Papers

  • [1] Y. Qing, C. Ma, Y. Zhou*, X. Zhang and H. Xia, Cooperative Coevolutionary Multiobjective Genetic Programming for Microarray Data Classification, Genetic and Evolutionary Computation Conference (GECCO-2021), 2021.

PhD Thesis

Teaching

  • Instructor, CS 1300860075 Introduction to Computer Science, Shenzhen University, Fall 2017~2023
  • Instructor, CS 1502850001 Internet Programming, Shenzhen University, Spring, 2018~2023
  • Teaching Assistant, CS 2204 Fundamentals of Internet Applications by Dr. MT Chan, City University of Hong Kong, Fall 2016, Spring 2016, Spring 2015, Fall 2014 and Spring 2014
  • Teaching Assistant, CS 2310 Computer Programming by Dr. Ricky Chan, City University of Hong Kong, Fall 2015

Academic activities

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

  • Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2017, Kuala Lumpur, Malaysia, 2017.
  • IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 2016.
  • International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, 2015
  • IEEE Conference on Systems, Man, and Cybernetics (SMC), Hong Kong, 2015.

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

  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Information Sciences
  • European Journal of Operational Research
  • Applied Soft Computing
  • Soft Computing
  • The Visual Computer

Awards

  • Outstanding reviewer award (European Journal of Operational Research, ELSEVIER) 2017