Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. Suspendisse condimentum, libero vel tempus mattis, risus risus vulputate libero, elementum fermentum mi neque vel nisl. Maecenas facilisis maximus dignissim. Curabitur mattis vulputate dui, tincidunt varius libero luctus eu. Mauris mauris nulla, scelerisque eget massa id, tincidunt congue felis. Sed convallis tempor ipsum rhoncus viverra. Pellentesque nulla orci, accumsan volutpat fringilla vitae, maximus sit amet tortor. Aliquam ultricies odio ut volutpat scelerisque. Donec nisl nisl, porttitor vitae pharetra quis, fringilla sed mi. Fusce pretium dolor ut aliquam consequat. Cras volutpat, tellus accumsan mattis molestie, nisl lacus tempus massa, nec malesuada tortor leo vel quam. Aliquam vel ex consectetur, vehicula leo nec, efficitur eros. Donec convallis non urna quis feugiat.

My research interest includes:

• Cloud computing
• Intelligent optimization and scheduling
• Evolutionary computation, particularly genetic programming
• Workflow scheduling / Job shop scheduling
• Heuristic/Meta-Heuristic/Hyper-Heuristic learning/optimisation

🔥 News

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📝 Publications

1. 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]

2. 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]

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]

4. 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]

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]

6. 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]

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]

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. [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.

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]

🎖 Honors and Awards

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📖 Educations

💬 Invited Talks

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💻 Internships

• 2019.05 - 2020.02, Lorem, China.