Cheng He

Cheng He

Research Assistant Professor

Evolving Machine Intelligence Group

Biography

Dr. is currently a Research Assistant Professor with the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. His current research interests include model-based evolutionary algorithms, multiobjective optimization, large-scale optimization, deep learning, and their applications. He is a recipient of the SUSTech Presidential Outstanding Postdoctoral Award from Southern University of Science and Technology, and the leading Guest Editor for “Special Issue: Emerging Topics in Evolutionary Multiobjective Optimization” of the Complex and Intelligent Systems.

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Interests
  • Model-based/data-driven optimization
  • Multi/many-objective optimization
  • Large-scale optimization
  • Combination of deep learning and evolutionary algorithm
Education
  • PhD, Control Theory and Engineering, 2012 - 2018

    Huazhong University of Science and Technology, China

  • BEng, Automation, 2008 - 2012

    Wuhan University of Science and Technology, China

Work Experiences

 
 
 
 
 
Research Assistant Professor, Southern University of Science and Technology, China
Southern University of Science and Technology
2020-08-01 – Present China
 
 
 
 
 
Research Fellow, Southern University of Science and Technology, China
Southern University of Science and Technology
2018-03-15 – 2020-07-30 China
 
 
 
 
 
Visiting Scholar, University of Surrey, UK
University of Surrey
2016-09-01 – 2017-03-31 UK

Committee Services

Chair, Committee of Members Activities
IEEE CIS Shenzhen Chapter
Chair
IEEE CIS Task Force on Intelligence Systems for Health
Leading Guest Editor
Complex and Intelligent Systems, Special Issues “Emerging Topics in Evolutionary Multiobjective Optimization” (2021)

Editorial Services

Conference Organizers

Online Platform Chair
2021 International Conference on Evolutionary Multi-Criterion Optimization, Shenzhen, China
Co-Chair
IEEE Symposium on Model-Based Evolutionary Algorithms
Co-Chair
Online Data-Driven Multi-Objective Optimization Competition

Awards

Presidential Outstanding Postdoctoral Award
SUSTech the 6th Presidential Outstanding Postdoctoral Award
Best Paper Award
The 14th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2019) Best Paper Award

Recent Publications

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(2021). Efficient evolutionary neural architecture search by modular inheritable crossover. Swarm and Evolutionary Computation.

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(2021). Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Transactions on Cybernetics.

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(2021). Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Transactions on Cybernetics.

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(2021). Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation.

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