博士，深圳大学助理教授，硕导
Email: zhuqingling@szu.edu.cn
博士毕业于香港城市大学电脑科学系，研究方向包括智能多目标优化、智能调度组合优化以及基于机器学习的自动算法设计。目前在IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics,AAAI以及其他国际期刊和会议共发表论文20余篇。连续三年获得香港城市大学杰出学术研究奖学金。获得EMO2021华为国际物流大赛金奖。获得ICAPS2021华为动态取送货问题竞赛金奖。目前主持1项国家自然基金青年项目，1项深圳大学青年教师科研启动项目。
招收研究生：计算机、软件工程相关专业，提供充足的算力和丰富的软硬件支持，欢迎对进化多目标决策、智能调度优化、机器学习感兴趣的同学联系我。
指导研究生：
2024级：查雄鑫（CCF C类会议一篇）、刘琼芳（CCF C类会议一篇）、董立贞、王馨雨、陈豪杰
2023级：胡梓阳、付佳豪、刘伟
2022级：王芊慧（惠灵顿大学读博）、郑筛凤（深圳大学读博）
2021级：杨烨铭（深圳大学读博）、吴晓强（深圳大学读博）、张馨支（华南理工大学读博）、徐耀建（深圳大学读博）、聂纪坤（中国建设银行）
代表论文：
Qingling Zhu, Yeming Yang, Songbai Liu, Qiuzhen Lin, Kay Chen Tan, SCGAN: Sampling and Clustering-Based Neural Architecture Search for GANs, TETCI, 2025.
Shaifeng Zheng(学生一作), Qingling Zhu, Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Jianqiang Li, Personalized federated learning with multiple classifier aggregation, KBS, 2025.
Qingling Zhu, Gaoli Kang, Xunfeng Wu, Qiuzhen Lin, Huimei Tang, Jianyong Chen, A Kriging-assisted evolutionary algorithm with multiple infill sampling for expensive many-objective optimization, EAAI, 2024.
Qingling Zhu, Yaojian Xu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan, Clustering-based short-term wind speed interval prediction with multi-objective ensemble learning, TETCI, 2024.
Xiaoqiang Wu,Qingling Zhu, Qiuzhen Lin, Weineng Chen, Jianqiang Li, Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy, AAMAS 2024.
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.
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.
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.
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.
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.
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.
主持项目：
（1）国家自然科学基金-青年科学基金项目，智慧社区微电网能源预测及多目标优化技术研究，62203308，2023.01.01--2025.12.31；
（2）深圳市孔雀计划
（3）博士后面上项目
教学经历
C语言程序设计，IEEE 荣誉班，2024.
计算机伦理，计算机科学与技术，2023-2025.
