Zaixing Sun

Zaixing Sun

Postdoctoral Fellow, Pengcheng Laboratory

Zaixing Sun is currently a Postdoctoral Fellow at Pengcheng Laboratory, Shenzhen, China. He received the Ph.D. degree in Computer Science and Technology from Harbin Institute of Technology, Shenzhen in 2024, the M.Eng. degree in Control Engineering from Kunming University of Science and Technology in 2019, and the B.Eng. degree in Electrical Engineering and Automation from Luoyang Normal University in 2016. From 2023 to 2024, he was a visiting student with the Evolutionary Computation Research Group, Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science, Victoria University of Wellington, New Zealand.

His research focuses on workflow scheduling, resource allocation, and intelligent optimization for cloud/edge/fog computing, computing power networks, and smart manufacturing systems. Methodologically, he is interested in evolutionary machine learning, genetic programming hyper-heuristics, cooperative coevolution, multitask optimization, Bayesian search, deep reinforcement learning, and metaheuristic optimization. He has published 11 first-author papers, including 5 papers in CCF-A venues or CAS Q1 journals (4 Top journals) and 1 paper in a leading Chinese journal. He is the principal investigator of a China Postdoctoral Science Foundation project and a core member of a major research project at Pengcheng Laboratory. He received the Outstanding Ph.D. Dissertation Award from the Heilongjiang Computer Federation. He serves as a reviewer for IEEE TEVC, IEEE TCC, IEEE TASE, ESWA, CEC, ICIC, and other journals/conferences. He welcomes inquiries and collaboration via email at zaixing.sun@micc.hitsz.edu.cn.

🔥 News

  • 2026.08: Served as the principal investigator of a China Postdoctoral Science Foundation project.
  • 2026.07: Received the Outstanding Ph.D. Dissertation Award from the Heilongjiang Computer Federation.

🔬 Research Interests

  • Workflow scheduling and resource allocation in cloud, edge, fog, and computing power network environments.
  • Evolutionary machine learning, genetic programming hyper-heuristics, cooperative coevolution, multitask optimization, and Bayesian search.
  • Energy-efficient scheduling, online/offline workflow co-scheduling, container scaling, service placement, and smart manufacturing scheduling.

📝 Publications

These papers are provided for academic research and rapid dissemination purposes only. Copyright belongs to the respective publishers.

First-author publications

  1. Zaixing Sun, Liang Zhang, Quan Tang, Jun Jiang, Chonglin Gu, and Bin Wang, “Multitask Cooperative Genetic Programming for Co-Scheduling Online-Offline Workflows in the Cloud,” in Proceedings of the IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, 2026, pp. 1–6, doi:10.1109/INFOCOM59046.2026.11571438. [pdf] [cite] (CCF A)

  2. Zaixing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Wang, and Mengjie Zhang, “Cooperative Coevolution Genetic Programming for Dynamic Joint Workflow Scheduling and Container Scaling in Cloud-Fog Computing,” IEEE Transactions on Services Computing, vol. 19, no. 1, pp. 225–239, Jan. 2026, doi:10.1109/TSC.2025.3636121. [pdf] [Supplementary Material] [cite] (CCF A, TOP Journal)

  3. Zaixing Sun, Yi Mei, Fangfang Zhang, Hejiao Huang, Chonglin Gu, and Mengjie Zhang, “Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds,” IEEE Transactions on Services Computing, vol. 17, no. 5, pp. 2687–2703, Sep. 2024, doi:10.1109/TSC.2024.3394691. [pdf] [Supplementary Material] [cite] (CCF A, TOP Journal)

  4. Zaixing Sun, Boyu Zhang, Chonglin Gu, Ruitao Xie, Bin Qian, and Hejiao Huang, “ET2FA: A Hybrid Heuristic Algorithm for Deadline-Constrained Workflow Scheduling in Cloud,” IEEE Transactions on Services Computing, vol. 16, no. 3, pp. 1807–1821, 2023, doi:10.1109/TSC.2022.3196620. [pdf] [cite] (CCF A, TOP Journal)

  5. Zaixing Sun, Hejiao Huang, Zhikai Li, Chonglin Gu, Ruitao Xie, and Bin Qian, “Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud,” Expert Systems with Applications, vol. 228, p. 120401, Oct. 2023, doi:10.1016/j.eswa.2023.120401. [pdf] [cite] (CCF C, TOP Journal)

  6. Zaixing Sun, Hejiao Huang, Zhikai Li, and Chonglin Gu, “Energy-efficient real-time multi-workflow scheduling in container-based cloud,” Journal of Combinatorial Optimization, vol. 49, no. 34, pp. 1–21, 2025, doi:10.1007/s10878-025-01265-8. [pdf] [cite]

  7. Zaixing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Qian, and Mengjie Zhang, “Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics,” in Proceedings of the International Conference on Intelligent Computing, 2024, pp. 169–182, doi:10.1007/978-981-97-5578-3_14. [pdf] [cite] (CCF C)

  8. Zaixing Sun, Zhikai Li, Chonglin Gu, and Hejiao Huang, “An Energy-Efficient Scheduling Method for Real-Time Multi-workflow in Container Cloud,” in Proceedings of the 16th Annual International Conference on Combinatorial Optimization and Applications, vol. 14461, LNCS, Springer, 2024, pp. 168–181, doi:10.1007/978-3-031-49611-0_12. [pdf] [cite]

  9. Zaixing Sun, Chonglin Gu, Hejiao Huang, and Honglin Zhang, “T2FA: A Heuristic Algorithm for Deadline-Constrained Workflow Scheduling in Cloud with Multicore Resource,” in 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), IEEE, Sep. 2021, pp. 345–354, doi:10.1109/CLOUD53861.2021.00048. [pdf] [cite] (CCF C)

  10. 孙在省, 钱斌, 胡蓉, 张梓琪, 张长胜. 基于块结构性质的花粉算法求解可重入作业车间调度问题[J]. 机械工程学报, 55(16): 220-232, 2019, doi:10.3901/JME.2019.16.220. [pdf] (中国科技期刊卓越行动计划中文领军期刊，EI)

  11. Zaixing Sun, Rong Hu, Bin Qian, Bo Liu, and Guo Lin Che, “Salp Swarm Algorithm Based on Blocks on Critical Path for Reentrant Job Shop Scheduling Problems,” in Proceedings of the International Conference on Intelligent Computing, 2018, pp. 638–648, doi:10.1007/978-3-319-95930-6_64. [pdf]

Co-authored publications

  1. Yanyu Shen, Chonglin Gu, Xin Chen, Xiaoyu Gao, Zaixing Sun, and Hejiao Huang, “Elastic Scaling of Resources for Energy-efficient Container Cloud Using Reinforcement Learning,” IEEE Transactions on Green Communications and Networking, pp. 1–14, 2025, doi: 10.1109/TGCN.2025.3552594. [pdf]

  2. Xin Chen, Chonglin Gu, Xiaoyu Gao, Yanyu Shen, Zaixing Sun, and Hejiao Huang, “Virtual Machine Placement for Minimizing Image Retrieval Cost and Communication Cost in Cloud Data Center,” IEEE Transactions on Network and Service Management, vol. 21, no. 2, pp. 1998–2011, 2024, doi:10.1109/TNSM.2024.3351148. [pdf]

  3. Hang Liu, Haoran Ma, Qiang Liu, Zaixing Sun, and Chonglin Gu, “Energy-Efficient Task Offloading in MEC-Cloud,” Proceedings of the International Conference on Intelligent Computing, 2025, pp. 295–307, doi: 10.1007/978-981-96-9812-7. [pdf]

  4. Haoran Ma, Qiang Liu, Hang Liu, Zaixing Sun, and Chonglin Gu, “Energy-Aware Task Scheduling Using DVFS and On / Off Switching in Data Center,” Proceedings of the International Conference on Intelligent Computing, 2025, pp. 517–528, doi: 10.1007/978-981-96-9872-1. [pdf]

  5. Honglin Zhang, Yaohua Wu, and Zaixing Sun, “EHEFT-R: multi-objective task scheduling scheme in cloud computing,” Complex & Intelligent Systems, vol. 8, no. 6, pp. 4475–4482, Dec. 2022, doi:10.1007/s40747-021-00479-7. [pdf]

  6. 邓超, 钱斌, 胡蓉, 王凌, 孙在省. 融合规则的HEDA求解带工件批量运输的三阶段装配集成调度问题[J]. 控制与决策, 35(10): 2507-2513, 2020, doi:10.13195/j.kzyjc.2019.0307.

  7. Hong Lin Zhang, Bin Qian, Zaixing Sun, Rong Hu, Bo Liu, and Ning Guo, “Single-machine Green Scheduling to Minimize Total Flow Time and Carbon Emission,” in Proceedings of the International Conference on Intelligent Computing, 2018, pp. 670–678, doi:10.1007/978-3-319-95930-6_67. [pdf]

💼 Employment

2025.02-present Postdoctoral Fellow, Pengcheng Laboratory, Shenzhen, China
Collaborative supervisor: Prof. Fan Zhang

📖 Education

2020.03-2024.11 Ph.D in Computer Science and Technology  Harbin Institute of Technology, Shenzhen, China
Supervisors: Prof. Hejiao Huang, Dr. Chonglin Gu
2023.04-2024.04 Visiting Student in Computer Science  Victoria University of Wellington, New Zealand
Supervisors: Prof. Mengjie Zhang (FRSNZ, FEngNZ, IEEE Fellow), Prof. Yi Mei (FEngNZ), Dr. Fangfang Zhang
2016.09-2019.07 M.Eng in Control Engineering  Kunming University of Science and Technology, China
Supervisors: Prof. Bin Qian, Prof. Rong Hu
2012.09-2016.06 B.Eng in Electrical Engineering and Automation  Luoyang Normal University, China

🎖 Honors and Awards

  • 2026 Outstanding Ph.D. Dissertation Award, Heilongjiang Computer Federation.
  • 2020 Outstanding Master’s Thesis Award, Kunming University of Science and Technology.
  • 2019 Outstanding Graduate Student Scientific and Technological Innovation Achievement Award, Yunnan Province.
  • National Third Prize, the 14th “Huawei Cup” China Graduate Mathematical Contest in Modeling.
  • 2018 National Scholarship for Graduate Students.

🤝 Professional Services

  • Reviewer for journals including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cloud Computing, IEEE Transactions on Automation Science and Engineering, Expert Systems with Applications, Franklin Open, Results in Engineering, and Sustainable Computing.
  • Reviewer for conferences including IEEE Congress on Evolutionary Computation (CEC) and International Conference on Intelligent Computing (ICIC).