• 2013-2017: The University of Hong Kong, Computer Science, Ph.D. (Full-time)
• 2009:2013: Huazhong University of Science and Technology, Electronics and Information Engineering, B.E.

Work Experience：

• 2026-present： Shenzhen Loop Area Institute, Associate Professor
• 2020 – present: Sun Yat-sen University, School of CSE, Associate Professor
• 2017-2020: Carnegie Mellon University, Electrical and Computer Engineering, Postdoc

Dr. Xiaoxi Zhang is an Associate Professor and Ph.D. Supervisor at the School of Computer Science and Engineering, Sun Yat-sen University. She is a recipient of the Guangdong Province “Pearl River Talent Program” Young Top-Notch Talent Award. Her primary research interests lie in machine learning systems and distributed network systems. Dr. Zhang has published 87 papers in top-tier international conferences and journals, including ACM SIGCOMM, USENIX NSDI, IEEE INFOCOM, ICML, JSAC, TMC, TPDS, and ToN. Graduate students under her supervision have received multiple prestigious accolades, including the Best Student Paper Award at IEEE MSN 2024 (CCF-C), a Best Paper Nomination at IEEE/ACM IWQoS 2023 (CCF-B), the Best Paper Award at IEEE BIGCOM 2024, and the National Graduate Student Scholarship. Her research outcomes have been successfully deployed in production at Alibaba Cloud, a leading cloud computing service provider. 

1. Haoran Xu, Xuan Zeng, Xumiao Zhang, Xiaoxi Zhang*, Yang Lv, Peng Zhang, Xu Chen, Deke Guo, and Ennan Zhai, "AIDA: Accelerating Root Cause Analysis for Multi-Vendor Device Failures with LLM-Powered Reasoning", in Proceedings of ACM Special Interest Group on Data Communication (SIGCOMM), 2026

2. Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan, Chuan Wu, Yali Xue, Zuozhou Chen, Chaoqi Zhou, and Xu Chen,"Joint Bitrate and Resource Adaptation for Super-Resolution Video Streaming in Multi-Cluster Edge Networks: A New Online Learning Approach", to appear in IEEE Transactions on Mobile Computing, 2026

3. Bokeng Zheng, Bo Rao, Tianxiang Zhu, Chee Wei Tan, Jingpu Duan, Zhi Zhou, Xu Chen, and Xiaoxi Zhang*. "Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning", in IEEE Transactions on Mobile Computing, vol. 25, pp. 1777-1794, 2026

4. Han Liang, Jiahui Zhou, Zicheng Zhou, Xiaoxi Zhang*, and Xu Chen*, “Spatio-Temporal Parallelism for Diffusion Model Inference on Heterogeneous Multi-GPU Systems”, in Proceedings of IEEE ICDCS, 2026

5. Xuan Zeng#, Haoran Xu#, Chen Chen#, Xumiao Zhang, Xiaoxi Zhang*, Xu Chen, Guihai Chen, Yubing Qiu, Chong Hao, Yiping Zhang, and Ennan Zhai*. "Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN", in Proceedings of USENIX Symposium on Networked Systems Design and Implementation (NSDI), Philadelphia, PA, USA, April 28–30, 2025

6. Tian Wu, Weijie Liu, Han Liang, Ziwei Zhan, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xu Chen, and Xiaoxi Zhang*, "PASTA: Training Acceleration for Vertical Federated Learning via Adaptive Pipeline Parallelism", in Proceedings of IEEE/ACM International Symposium on Quality of Service (IWQoS), Gold Coast, Australia, July 2-4, 2025

7. Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C.-H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, and Xiaoxi Zhang*, "TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction", in Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, Scotland, UK, July 20-23, 2025

8. Ziwei Zhan, Wenkuan Zhao, Yuanqing Li, Weijie Liu, Xiaoxi Zhang*, Chee Wei Tan, Chuan Wu, Deke Guo, and Xu Chen, "FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation", In Proceedings of IEEE MSN, 2024 (Best Student Paper Award)

9. Yufei You, Xiaoxi Zhang*, Tianxiang Zhu, Bo Rao, Yihong Li, Jingpu Duan, Lei Xue, Ennan Zhai, and Xu Chen, "RACCOON: Online Content Recommendation and Edge-assisted Caching for In-Vehicle Infotainment", In Proceedings of IEEE Bigcom, 2024 (Best Paper Award)

10. Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan, Chuan Wu, Yali Xue, Zuozhou Chen, and Xu Chen, "Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming", In Proceedings of International Conference on Computer Communications (INFOCOM), 20–23 May, 2024

11. Xiaoxi Zhang, Jinhang Zuo*, Zhe Huang, Zhi Zhou, Xu Chen, and Carlee Joe-Wong, "Learning with Side Information: Elastic Multi-resource Control for the Open RAN", IEEE Journal on Selected Areas in Communications (JSAC), 42(2), 295 - 309, February 2024

12. Shaohui Lin, Xiaoxi Zhang*, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Dongxiao Yu, Yu Wu, and Xu Chen, "Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-timescale Approach", in IEEE TMC, 23(12), 14561 - 14574, December 2024

13. Yichen Ruan, Xiaoxi Zhang*, and Carlee Joe-Wong, "How Valuable Is Your Data? Optimizing Client Recruitment in Federated Learning", in IEEE/ACM Transactions on Networking (ToN), 32(5):4207 - 4221, October 2024

14. Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, and Carlee Joe-Wong, "Optimal Network Protocol Selection for Competing Flows via Online Learning", IEEE Transactions on Mobile Computing (TMC), 22(8):4822-4836, 2023

15. Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, and Carlee Joe-Wong, "Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs", IEEE/ACM Transactions on Networking (ToN), 30(1): 215–228, 2022

16. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Dynamic VM Scaling: Provisioning and Pricing through an Online Auction", IEEE Transactions on Cloud Computing (TCC), 9(1): 131–144, 2021

17. Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "A Truthful (1−ϵ)(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning", IEEE Transactions on Cloud Computing, 8(3), 2020

18. Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, and Carlee Joe-Wong, "Machine Learning on Volatile Instances", In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), Beijing, China, 2020 (acceptance rate: 19.8%)

19. Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha, and Carlee Joe-Wong, "Towards Automated Network Management: Learning the Optimal Protocol Selection ", In Proceedings of IEEE ICNP, 2019 (acceptance rate: 19.3%)

20. Xiaoxi Zhang, Chuan Wu, Zhiyi Huang, and Zongpeng Li, "Occupation-Oblivious Pricing of Cloud Jobs via Online Learning", In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2018 (acceptance rate: 19.2%)

21. Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Proactive VNF Provisioning with Multi-timescale Cloud Resources: Fusing Online Learning and Online Optimization", In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2017 (acceptance rate: 20.9%)

22. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs", IEEE/ACM Transactions on Networking (ToN), 25(2):1034-1047, 2017

23. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Stochastic Buy-Sell Mechanism for VNF chains in the NFV market", IEEE Journal on Selected Areas in Communications (JSAC) Special Issue on Game Theory for Networks 35(2): 392-406, 2017

24. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs", In Proceedings of ACM SIGMETRICS, 2015 (acceptance rate: 13.4%)

25. Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "A Truthful (1 - ε)-Optimal Mechanism for On-demand Cloud Resource Provisioning", In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2015 (acceptance rate: 19.3%)

Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Cost Minimization for Operating Geo-distributed Cloud CDNs", In Proceedings of International Symposium on Quality of Service (IWQoS), 2015