Zhang Xiaoxi

Associate Professor

Email: zhangxx89@mail.sysu.edu.cn

Address: 529L

Links: https://0xxz.github.io/

教师简介: 

张晓溪，副教授，博士生导师，中山大学“百人计划”引进人才，广东省青年拔尖人才。2013年于华中科技大学电子与信息工程系取得学士学位，2017年于香港大学计算机科学系取得博士学位，2017年至2020年于美国卡耐基梅隆大学电气与计算机工程系任博士后研究员，2020年10月加入中山大学。迄今在国际高水平期刊及会议上发表论文70余篇，包括 NSDI, SIGMETRICS, INFOCOM, WWW, AAAI, AISTATS, MobiSys, ICNP, JSAC, ToN, TPDS, TMC, ICDCS, IWQoS, IEEE Transactions on Cloud Computing (TCC)。指导研究生（学生一作）获得 CCF-C类论文IEEE MSN 2024最佳学生论文奖、 CCF-B类论文IEEE/ACM IWQoS 2023最佳论文提名、IEEE Bigcom 2024最佳论文奖、国家奖学金（研究生）。

个人主页: https://0xxz.github.io/

Google scholar: https://scholar.google.com/citations?user=nyLg3KMAAAAJ&hl=en

研究领域: 

  • Networked Systems: Networking for AI (服务AI的网络架构及技术), Distributed Machine Learning (分布式机器学习), Distributed Systems (分布式系统), 云计算 (Cloud Computing), 边缘计算 (Edge Computing), Programmable Networks (可编程网络)。
  • Applications and Theories of Optimization: Online Optimization (在线优化), Online Learning (在线学习), Reinforcement Learning (强化学习), Online Algorithms (在线算法), Approximate Algorithms (近似算法)。

 

实验室长期招收博士后、博士、硕士及优秀本科生，欢迎有科研热情且感兴趣以上方向的同学加入 ：）优先考虑对分布式系统/大模型/计算机网络有扎实底层理解，同时具备系统思维和工程实现能力的申请者。特别欢迎有学术深造规划的同学。

课题组的同学们将：和导师一起思考和讨论创新性学术点子，一起撰写高质量学术论文和参加学术会议，有机会参与阿里云、华为等公司的科研课题并优先获得实习机会，与国内外知名高校合作伙伴（CMU、香港大学、北京大学、南京大学、中国科学技术大学、NTU、香港城市大学等）一起开展科研。期待真诚（非常重要）、踏实、有科研兴趣、并对自己的研究有责任心的同学加入我们！

有意向的同学请邮箱咨询（附简历），也欢迎联系组内学长学姐了解详情。

2021级硕士毕业学生去向：香港大学（Ph.D.）、阿里云、腾讯、文远知行、南网。

教育背景: 

  • 2009/09 -- 2013/06: 华中科技大学，电子与信息工程系， 学士学位
  • 2013/09 -- 2017/08：香港大学，计算机科学系（CS），哲学博士学位

工作经历: 

  • 2017/09 -- 2020/08：美国卡耐基梅隆大学，电气与计算机工程系（ECE），博士后研究员
  • 2020/10 -- 至今：中山大学，计算机学院，副教授 (长聘)

获奖及荣誉: 

  1. 广东省青年拔尖人才 (2023)
  2. IEEE MSN 最佳学生论文奖（通讯作者，硕士生一作）
  3. IEEE Bigcom 2024 最佳论文奖（通讯作者，硕士生一作）
  4. IEEE/ACM IWQoS（CCF-B类会议）2023 最佳论文提名 （通讯作者，硕士生一作）
  5. 校级优秀班主任（2022级本科生班主任）
  6. Distinguished Technical Program Committee Member of SocialMeta 2023 (杰出TPC成员)
  7. Asian Dean's Forum 2018 The Rising Stars (第一届亚洲女工程师大会新星) 入选者
  8. 2017 IEEE INFOCOM Best-In-Session Presentation Award
  9. Teaching Excellence & Best Tutor Award of HKU CS Department 
  10. HK & China Gas Co., Ltd. Postgraduate Scholarship
  11. HKU Postgraduate Scholarship

主要学术兼职: 

  • Area editor of Computer Networks 2024 至今
  • TPC member of IEEE ICDCS (2025, 2024, 2021), IEEE SECON 2024, HPCC 2024, MSN 2024, NAS 2024, NPC (2024, 2025) 
  • Organization committee member of APNet 2024
  • TPC member of IEEE/ACM IWQoS (2025, 2024)
  • Associate editor of IEEE Networking Letters 2023
  • TPC member of WiOpt 2023
  • TPC member of IEEE SECON 2023
  • TPC member of ACM MobiCom 2018 Demo Program
  • TPC member of IEEE INFOCOM 2019 Demo, Poster, and ECOFEC Workshop
  • TPC member of Sarnoff Symposium 2019
  • Reviewer for IEEE Journal of Selected Areas (JSAC)
  • Reviewer for IEEE Transactions on Networking (ToN)
  • Reviewer for IEEE Transactions on Mobile Computing (TMC)
  • Reviewer for IEEE Transactions on Cloud Computing (TCC)
  • Reviewer for IEEE Transactions on Service Computing (TSC)
  • Reviewer for IEEE Internet of Things (IoT) Journal

代表性论著: 

(* 表示通讯作者)

  1. - 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 USENIX NSDI, 2025 (网络领域顶会, CCF-A)
  2. - 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 IEEE ICDCS, 2025 (CCF-B)
  3. - 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 IEEE MSN, 2024 (CCF-C, Best Student Paper Award)
  4. - Shaohui, 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", to appear in IEEE Transactions on Mobile Computing (TMC) 2024 (CCF-A)
  5. - 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", IEEE Bigcom 2024 (Best Paper Award)
  6. - Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang*, Chee Wei Tan, and Xu Chen, "FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients", ECAI 2024 (CCF-B)
  7. - Yichen Ruan, Xiaoxi Zhang*, and Carlee Joe-Wong, "How Valuable Is Your Data? Optimizing Client Recruitment in Federated Learning", to appear in IEEE/ACM Transactions on Networking (ToN), 2024 (CCF-A) 
  8. - Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan*, Chuan Wu, Yali Xue, Zouzhou Chen, Xu Chen*. "Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming," IEEE International Conference on Computer Communications (IEEE INFOCOM), Vancouver, Canada, May 20-23, 2024. (CCF-A)
  9. - Weijie Liu, Xiaoxi Zhang*, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, and Xu Chen, "DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets", IEEE Transactions on Mobile Computing (TMC), 23(7), July 2024 (CCF-A)
  10. - Tianyu Zeng, Xiaoxi Zhang*, Jingpu Duan, Chao Yu, Chuan Wu, and Xu Chen, "An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning", IEEE Transactions on Parallel and Distributed Systems (TPDS), 35(5), 720 - 731, May 2024 (CCF-A)
  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 (CCF-A)
  12. - Yihong Li (研究生国家奖学金获得者), Xiaoxi Zhang*, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, and Xu Chen, "Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm", IEEE Transactions on Parallel and Distributed Systems (TPDS), 34(12): 3073 - 3089, 2023 (CCF-A)
  13. - Shaohui Lin, Xiaoxi Zhang*, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen, “EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning”, the 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2023 (CCF-B)
  14. - Weijie Liu, Xiaoxi Zhang*, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, and Xu Chen, "AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning", IEEE/ACM IWQoS, 2023 (CCF-B) （Best paper candidate, top 6 in 264 submissions)
  15. - Tianxiang Zhu, Xiaoxi Zhang*, Jingpu Duan, Zhi Zhou, and Xu Chen, "A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning", IEEE/ACM IWQoS, 2023 (CCF-B)
  16. - Yihong Li (研究生国家奖学金获得者), Tianyu Zeng, Xiaoxi Zhang*, Jingpu Duan, and Chuan Wu, "TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning", IEEE International Conference on Computer Communications (IEEE INFOCOM), 2023 (CCF-A)
  17. - 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), early access, 2022 (CCF-A)
  18. - 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 (CCF-A)
  19. - Yichen Ruan, Xiaoxi Zhang, Shu-che Liang, and Carlee Joe-Wong, "Towards Flexible Device Participation in Federated Learning", AISTATS, April 13-15, 2021 
  20. - Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, and Carlee Joe-Wong, "Machine Learning on Volatile Instances", IEEE INFOCOM, Beijing, China, April 27-30, 2020 (acceptance rate: 19.8%) (CCF-A)
  21. - Jinhang Zuo, Xiaoxi Zhang, and Carlee Joe-Wong, "Observe before Play: Multi-armed Bandit with Pre-observations", AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020 (acceptance rate: 20.6% ) (CCF-A)
  22. - 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, Jan.-Mar. 1, 2021 (JCR II)
  23. - Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha, and Carlee Joe-Wong, "Towards Automated Network Management: Learning the Optimal Protocol Selection", IEEE ICNP (shortpaper, (short papers + long papers) / submissions = 19.3%), Chicago, Illinois, USA, October 7-10, 2019 (CCF-B)
  24. - Xiaoxi Zhang, Chuan Wu, Zhiyi Huang, and Zongpeng Li, "Occupation-Oblivious Pricing of Cloud Jobs via Online Learning", IEEE INFOCOM, Honolulu, Hawaii, USA, April 14-19, 2018 (acceptance rate: 19.2%) (CCF-A)
  25. - 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", IEEE INFOCOM, Atlanta, Georgia, USA, May 1-4, 2017 (acceptance rate: 20.9%) (CCF-A)
  26. - 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 (JCR Impact Factor: 3.376) (CCF A)
  27. - 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 (JCR Impact Factor: 8.085) (CCF-A, JCR I)
  28. - 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", ACM SIGMETRICS, Portland, Oregon, USA, June 15-19, 2015 (CCF-B, acceptance rate: 13.4%) 
  29. - Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "A Truthful (1 - ε)-Optimal Mechanism for On-demand Cloud Resource Provisioning", IEEE INFOCOM, Hong Kong, China, April 26-May 1, 2015 (acceptance rate: 19.3%) (CCF-A)