Assistant Professor
Qingling Zhu, PhD, Assistant Professor, Shenzhen University.
Email: zhuqingling@szu.edu.cn
PhD received from City University of Hong Kong.
Research Capabilities and Achievements
Qingling Zhu holds a PhD in Computer Science from City University of Hong Kong. Her research interests include multi-objective optimization, combinatorial optimization, and automated algorithm design. She has published over ten papers in IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, and other international journals and conferences. She has received the City University of Hong Kong Outstanding Academic Research Scholarship for three consecutive years. She won the Gold Medal at the EMO2021 Huawei International Logistics Competition and the Gold Medal at the ICAPS2021 Huawei Dynamic Pickup and Delivery Problem Competition. Some of her achievements are listed below:
2023
Xiaoqiang Wu,Qingling Zhu, Qiuzhen Lin, Weineng Chen, Jianqiang Li, Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy, AAMAS 2024, Accepted.
Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Wei-Neng Chen, Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation, AAAI 2024, Accepted.
Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming, Jianyong Chen, A survey on evolutionary reinforcement learning algorithms,Neurocomputing, 2023, 556:126628.
Jianqiang Li, Junchuang Cai, Tao Sun,Qingling Zhu, Qiuzhen Lin, Multitask-Based Evolutionary Optimization for Vehicle Routing Problems in Autonomous Transportation, IEEE Transactions on Automation Science and Engineering, 2023, Early Accepted.
2022
Junchuang Cai,Qingling Zhu, Qiuzhen Lin, Variable neighborhood search for a new practical dynamic pickup and delivery problem, Swarm and Evolutionary Computation, 2022, 75:101182.
2020
Qingling Zhu, Qingfu Zhang, Qiuzhen Lin,A Constrained Multiobjective Evolutionary Algorithm with Detect-and-Escape Strategy, IEEE Transactions on Evolutionary Computation, 2020, 24(5):938-947.
2019
Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello, Jianyong Chen, and Jun ZhangAn Elite Gene Guided Reproduction Operator for Many-objective Optimization, 2019, 51(2):765-778.
2018
Qiuzhen Lin,Qingling Zhu (corresponding author), Na Wang, Peizhi Huang, Wenjun Wang, Jianyong Chen, Zhong Ming.A multi-objective immune algorithm with dynamic population strategy.Swarm and Evolutionary Computation, Early Access, DOI:10.1016/j.swevo.2018.12.003.
Qingling Zhu, Qiuzhen Lin, Jianyong Chen.A gene-level hybrid search framework for multiobjective evolutionary optimization.Neural Computing and Applications, 2018, 30(3):759-773.
Qiuzhen Lin, Yueping Ma, Jianyong Chen,Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong, Fei Chen.An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies.Information Sciences. 2018, 430:46-64.
Qiuzhen Lin, Songbai Liu,Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang.Particle swarm optimization with a balanceable fitness estimation for many-objective optimization problems.IEEE Transactions on Evolutionary Computation. 2018, 22(1):32-46.
2017
Qingling Zhu, Qiuzhen Lin, Weineng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang.An external archive-guided multiobjective particle swarm optimization algorithm.IEEE Transactions on Cybernetics, 2017, 47(9): 2794-2808.
Projects Led:
(1) National Natural Science Foundation of China - Youth Science Fund Project, Research on Energy Prediction and Multi-Objective Optimization Technology for Smart Community Microgrids, 62203308, 2023.01.01--2025.12.31;
Teaching Experience
C Programming Language, Shenzhen University Adult Education, 2022.
