Cheng Gong

I am a Ph.D. candidate in the Department of Computer Science at the City University of Hong Kong, advised by Prof. Qingfu Zhang (Chair Professor, IEEE Fellow), and Prof. Hisao Ishibuchi (Chair Professor, IEEE Fellow). My research interest include multi-objective optimization, evolutionary computation, optimization algorithm, and machine learning. I worked on multi-objective recommendation system with Prof. Chen Ma during my PhD studies. I recevied my M.E. from Peking Univeristy, advised by Prof. Qining Wang, where my research works focus on robotics.

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[2024.11] Our paper on exploring the adversarial frontier is accepted by TETCI!

[2024.10] Our paper on Fast and Scalable Hypervolume Subset Selection for Many-objective Optimization is accepted by TEVC!

[2024.06] Our two papers are accepted by PPSN!

[2024.03] Our two papers are accepted by GECCO!

Here are a few projects that I am currently working on and have completed, collaborating with Dr. Lie Meng Pang, Dr. Ping Guo, Dr. Yang Nan, Dr. Tianye Shu, Prof. Ke Shang, and other colleagues. I worked on robotics projects with Prof. Dongfang Xu, Prof. Yanggang Feng, and Prof. Zhihao Zhou during my master's studies.

A fast and scalable hypervolume subset selection method for many-objective optimization based on the determinantal point process, named DPP-HSS, which is fully free of hypervolume contribution calculation.

Hyper-MORL: A resource-efficient MORL algorithm that learns a continuous representation of the Pareto set in a high-dimensional policy parameter space using a hypernet.

LTR-HSS: a novel learning-to-rank based framework for solving the challenging HSS problems with a large number of objectives.

Develop a real-time training and recognition system embedding into an exskeleton robot to realize locomotion mode recognition for implementing different control strategies.