Zaixing Sun

Zaixing Sun

Postdoctoral Fellow, Peng Cheng Laboratory

Zaixing Sun is currently a Postdoctoral Fellow at Peng Cheng Laboratory. He received the B.E. degree in Electrical Engineering and Automation from Luoyang Normal University, Luoyang, China, in 2016, the M.E. degree in Control Engineering from Kunming University of Science and Technology, Kunming, China, in 2019, and the Ph.D. degree in Computer Science and Technology from Harbin Institute of Technology, Shenzhen, China, in 2024. In 2023, 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, Wellington, New Zealand.

His research focuses on solving complex scheduling and resource allocation problems in domains such as cloud computing and smart manufacturing. His approach focuses on Evolutionary Machine Learning, primarily leveraging Genetic Programming and other metaheuristic strategies to develop intelligent optimization solutions. He welcomes inquiries and collaboration via email at zaixing.sun@micc.hitsz.edu.cn.

📝 Publications

  1. 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] [cite] (CCF A, TOP Journal)

  2. 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)

  3. 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)

  4. 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]

  5. 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)

  6. 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]

  7. 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)

  8. Zaixing Sun, Bin Qian, Rong Hu, Ziqi Zhang, and Changsheng Zhang, “Flower Pollination Algorithm Based on Block Structure Properties for Reentrant Job Shop Scheduling Problem,” Journal of Mechanical Engineering, vol. 55, no. 16, pp. 220–232, Aug. 2019, doi:10.3901/JME.2019.16.220. (In Chinese) [pdf]

  9. 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]

  10. 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]

  11. 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]

  12. 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]

  13. Chao Deng, Bin Qian, Rong Hu, Ling Wang, and Zaixing Sun, “Rule-based hybrid EDA for three-stage assembly integrated scheduling problem with job batches transportation,” Control and Decision, vol. 35, no. 10, pp. 2507–2513, 2020, doi:10.13195/j.kzyjc.2019.0307. (In Chinese)

  14. 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]

📖 Educations

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: A/Prof. Yi Mei, Dr. Fangfang Zhang, Prof. Mengjie Zhang
2016.09-2019.06 M.Eng in Control Engeering  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