Peng Yang (杨 鹏)

Assistant Professor, Ph.D Supervisor
Department of Statistics and Data Science
Department of Computer Science and Engineering
Southern University of Science and Technology

Office: Room 316, Business School
Address: 1088 Xueyuan Avenue, Shenzhen 518055, P.R. China

Short Biography


Research Interests

My research interests focus on Artificial Intelligence + Securities Finance. Now I am working on building large simulation model of financial market. Related research areas are:



Academic Awards

Competition Awards


Selected Papers (* indicates that I am corresponding author). Full publications can be found here

  1. Dongbin Jiao, Lingyu Wang, Peng Yang*, Weibo Yang, Yu Peng, Zhanhuan Shang, and Fengyuan Ren. Unmanned Aerial Vehicle-enabled grassland restoration with energy-sensitive of trajectory design and restoration areas allocation via a cooperative memetic algorithm.
    Engineering Applications of Artificial Intelligence, Vol.133, Part A, pp.108084, 2024.

  2. Peng Yang*, Laoming Zhang, Haifeng Liu, and Guiying Li. Reducing Idleness in Financial Cloud Services via Multi-objective Evolutionary Reinforcement Learning based Load Balancer.
    SCIENCE CHINA Information Sciences, Vol.67, pp.120102, 2024.

  3. Wenjie Chen, Wenjing Hong, Hu Zhang, Peng Yang*, and Ke Tang. Multi-fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective.
    IEEE Transactions on Automation Science and Engineering, Vol.20, Issue 2, pp. 1156-1169, 2023.

  4. Jinghui Zhong, Tiantian Cheng, Wei-Li Liu*, Peng Yang*, Ying Lin, and Jun Zhang. An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Station.
    IEEE Transactions on Computational Social Systems, vol.10, issue 1, pp.297-310, 2023.

  5. Peng Yang, Hu Zhang, Yanglong Yu, Mingjia Li, and Ke Tang. Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search.
    Swarm and Evolutionary Computation. Vol.68, 100974, 2021.

  6. Peng Yang, Qi Yang, Ke Tang, and Xin Yao. Parallel Exploration via Negatively Correlated Search.
    Frontiers of Computer Science. Vol.15, Issue 5, pp.155333, 2021.

  7. Peng Yang, Ke Tang and Xin Yao. Turning High-dimensional Optimization into Computationally Expensive Optimization.
    IEEE Transactions on Evolutionary Computation, Vol. 22, Issue 1, pp. 143-156, 2018.

  8. Ke Tang, Peng Yang* and Xin Yao. Negatively Correlated Search.
    IEEE Journal on Selected Areas in Communications, Vol. 34, Issue 3, pp. 1-9, March 2016.

  9. Peng Yang, Ke Tang and Xiaofen Lu. Improving Estimation of Distribution Algorithm on Multi-modal Problems by Detecting Promising Areas.
    IEEE Transactions on Cybernetics, Vol. 45, Issue 8, pp. 1438-1449, 2015.

  10. Peng Yang, Ke Tang, Jose A. Lozano and Xianbin Cao. Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints.
    IEEE Transactions on Robotics, Vol. 31, Issue 5, pp. 1130-1146, 2015.

Professional Activities


PhD Students

Master Students