Dr. Qingling Zhu

Position: Assistant Professor
Affiliation: National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China, Shenzhen University, China
Address: 3688 Nanhai Avenue, Nanshan District, Shenzhen
E-mail: zhuqingling [at] szu.edu.cn; zhuqingling [at] email.szu.edu.cn; ql.zhu@qq.com
Google Scholar

Short Biography

I am currently a Assistant Professor at the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University (SZU). Before that, I obtained Ph.D degree in City University in HongKong, in July 2021, under the supervision of Prof. Qingfu Zhang. In addition, I received the B.S. degrees in Engineering from Shenzhen University (SZU) in 2016. During 2016 to 2017, I was a Research Assistant at Shenzhen University with Dr. Qiuzhen Lin.

Research Interest

Computational Intelligence, Evolutionary Computation, Multi-Objective Optimization, Machine Learning

Work Experience

2016 Jul ~ 2017 Sep
- Research Assistant
- College of Computer Science and Software Engineering,
- Shenzhen University
- with Dr. Qiuzhen Lin.
2021 Jul ~ 2023 Oct
- Pos Doc
- College of Computer Science and Software Engineering,
- Shenzhen University
2023 Nov ~ Now
- Assistant Professor
- National Engineering Laboratory for Big Data System Computing Technology,
- Shenzhen University
- with Prof. Jianqiang Li and Prof. Qiuzhen Lin
  Education
2017 Sep ~ 2021 Jul
- Ph.D.
- Department of Computer Science
- City University of Hong Kong
2013 Sep ~ 2016 Jun
- Master
- College of Computer Science and Software Engineering
- Shenzhen University
2009 Sep ~ 2013 Jun
- Bachelor of Engineering
- School of Information Engineering
- Nanchang Institude Technology
  Publications

Refereed Journal Papers

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. The source code can be downloaded from here.
2019
- Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello, Jianyong Chen, and Jun Zhang An Elite Gene Guided Reproduction Operator for Many-objective Optimization, 2019, 51(2):765-778. The source code can be downloaded from here.
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.
  - The source code can be downloaded from here.
2016
- Qingling Zhu, Qiuzhen Lin, Zhihua Du, Zhengping Liang, Wenjun Wang, Zhexuan Zhu, Jianyong Chen, Peizhi Huang, Zhong Ming. A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm. Information Science, 2016, 345:177-198.
  - The source code can be downloaded from here.
2015
- Qiuzhen Lin, Qingling Zhu, Peizhi Huang, Jianyong Chen, Zhong Ming, Jianping Yu. A novel hybrid multi-objective immune algorithm with adaptive differential evolution. Computers & Operations Research, 2015, 62:95-111.

Refereed Conference Papers

2019
- Qingling Zhu, Qingfu Zhang, Qiuzhen Lin, Jianyong Sun, MOEA/D with Two Types of Weight Vectors for Handling Constraints , CEC 2019.
2017
- Qingling Zhu, Qiuzhen Lin, Jianyong Chen. An elite archive-based MOEA/D Algorithm. Asia-Pacific Conference on Simulated Evolution and Learning (SEAL 2017), 236-247.
2015
- Qingling Zhu, Qiuzhen Lin, Jianyong Chen, Peizhi Huang. A gene-level hybrid crossover operator for multiobjective evolutionary algorithm. Soft Computing and Machine Intelligence (ISCMI 2015), 20-24.

Awards

Gold Price in ICAPS 2021 Huawei Competition on Dynamic Pickup And Delivery Problem, 2021 (USD $5000)
Gold Price in EMO 2021 HUAWEI Logistics Competition, 2021 (USD $5000)
2019 Research Tuition Scholarship of City University of Hong Kong
2019 Outstanding Academic Performance Award
2018 Research Tuition Scholarship of City University of Hong Kong
2018 Outstanding Academic Performance Award

Activities

Reviewer of Journals

IEEE Transactions on Evolutionary Computation
IEEE Transactions on Cybernetics
Applied Soft Computating
Swarm and Evolutionary Computation