Students
Current students:
PhD students:
Yitao Yang, 2023–, co-supervised with Prof. Baochun Li, on fault tolerance in ML systems, supported by Provost's Strategic Allocation of Centrally-Funded RPg Places
Wei Lin, 2023–, on learning to optimize
Shaofeng Wu, 2022–, on SmartNIC/DPU, supported by Provost's Strategic Allocation of Centrally-Funded RPg Places
Xin Tan, 2022–, on inference systems
Yu Zhang, 2022–, co-supervised with Prof. Bei Yu, on learning and optimization
Shaozuo Yu, 2022–, co-supervised with Prof. Jiaya Jia, on large language models
Wenlong Ding, 2021–, on ML for network management
Jingze Zhang, 2021–, on deep learning based network simulation, supported by Huawei Joint PhD Scholarship with CUHK
Qingyu Song, 2021–, on learning to optimize
Xufeng Yao, 2021–, co-supervised with Prof. Bei Yu, on ML
Xinyun Zhang, 2021–, co-supervised with Prof. Bei Yu, on ML
Yunmo Zhang, 2020–, on verification and bug detection in networked systems
Qiang Su, 2019–, on network transport
Jiamin Li, 2019–, on ML systems
Jingzong Li, 2019–, on video analytics systems
Kaiwei Mo, 2019–, on federated learning
Hongming Huang, 2018–, on storage systems
Research assistants:
Sisi Chen, 2023.9–, junior RA, on FL
Shibo Wang, 2023.8–, junior RA, on congestion control
Yicheng Feng, 2023.8–2023.11, junior RA, ML system simulation
Research students and staff based on areas/topics:
MLSys: Jiamin, Xin, Yitao,
Networking: Hongming, Qiang, Yunmo, Jingze, Wenlong, Shaofeng, Shibo,
Video systems: Jingzong,
DL and ML: Kaiwei, Qingyu, Wei, Sisi,
Undergraduates:
Changran Xu, 2023.5–2023.8, summer research student, on video analytics systems
Jianqiang Li, 2023.5–2023.8, summer research student, on ML-assisted network management
Chenyan Xu, 2023.5–2023.8, summer research student, on ML systems
Alumni:
I have worked with these talented students/RA:
Yik Hong Cai, 2022.09–2023.05, on video analytics systems
Yu Zhang, 2021.10–2022.08, on federated learning -> Ph.D. student at CUHK CSE
Chuanwen Wang, Ph.D. student, 2020.0–2022.04, on video analytics systems. Withdrawn due to personal reasons.
Dr. Xiaorui Wu, 2016–2020.9, on machine learning systems. -> Software engineer at Tencent.
Dr. Libin Liu, 2016–2020.2, on data analytics systems. -> Research scientist at
Tencent.
Dr. Hangyu Li, 2016–2019.6, on data analytics systems. -> Research scientist at
Tencent.
Fangzhou Wang, RA, 2018.6–2019.6, on machine learning systems. -> Ph.D. student
at CUHK CSE.
Sivakumar Srinivas, RA, 2018.9–2019.6, on machine learning for networking
Tao Wang, RA, 2018.4–2019.6, on data center transport. -> Ph.D. student at NYU CS.
Dr. Peng Wang, 2014.9–2018.9; Post-doc, 2018.9–2019.3, on data center networking. -> Researcher, Future Network Theory Lab, Huawei, Hong Kong SAR, China.
Dr. Zhixiong Niu, 2015–2019.2, on data center transport. -> Associate Researcher 2, Networking Research Group, Microsoft Research Asia.
Dr. Chengxi Gao, post-doc, 2017.9–2018.8. -> Assistant Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences.
Rui Qiu, RA, 2018.6–2018.8, on machine learning for networking.
Han You, undergraduate RA, 2017. -> MSc. student, Yale University, USA. -> SDE,
Microsoft Azure, Seattle, USA.
Dr. Che Zhang, PhD, 2014–2018, on SDN. -> Researcher, The Institute of Future Network, Southern University of Science and Technology, China.
Pengfei Li, RA, 2017.5–2017.8.
Yongqiang Tian, undergraduate RA, 2016.1–2016.5. -> PhD student, HKUST, with the prestigious HKPFS.
Yan Xiao, RA, 2016.3–2016.8. -> PhD student, CityU Hong Kong.
Hongyuan Liu, RA, 2016.3–2016.7. -> PhD student in U.S.
Qiong Wu, RA, 2016.1–2016.7. -> PhD student, College of William and Mary, USA.
Xiaoshan Yu, RA, 2015.6–2015.11. -> Assistant Professor, Xidian University, China.
Jiaqi Zheng, RA, 2015.1–2015.6. -> Assistant Professor, Nanjing University, China.
Shuhao Liu, RA, 2013.12–2014.7. -> PhD student, University of Toronto, Canada.
Inspiring readings
The networking philosopher’s problem, SIGCOMM Computer Communication Review, 41(3), pp.5–9, July 2011
Architecting for innovation, SIGCOMM Computer Communication Review, 41(3), pp.24-36, July 2011.
Flow rate fairness: Dismantling a religion, SIGCOMM Computer Communication Review, 37(2), pp.63-74, March 2007.
Pricing in computer networks: Reshaping the research agenda, SIGCOMM Computer Communication Review, 26(2), pp.19-43, 1996.
Fundamental design issues for the future Internet, IEEE Journal on Selected Areas in Communications, 13(7), pp.1176-1188, September 1995.
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