Students

Current students:

Ph.D. students/candidates:

• Jianqiang Li, 2024–, on ML for network management

• Yicheng Feng, 2024–, on ML systems

• Kaiwen Chen, 2024–, on ML systems

• Yuetao Chen, 2024–, supported by Huawei-CUHK Joint PhD Scholarship, on edge ML systems

• 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

• Jingyao Li, 2022–, co-supervised with Prof. Jiaya Jia, on large language models for coding

• 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 ML for network management, supported by Huawei-CUHK Joint PhD Scholarship

• Qingyu Song, 2021–, on learning to optimize

• Yunmo Zhang, 2020–, on verification and bug detection in networked systems

Co-supervised Ph.D. students/candidates:

• Mingjun Li, 2023–, co-supervised with Prof. Bei Yu,

• Jiaxi Jiang, 2023–, co-supervised with Prof. Bei Yu,

• Yu Zhang, 2022–, co-supervised with Prof. Bei Yu, on learning and optimization

• Xufeng Yao, 2021–, co-supervised with Prof. Bei Yu, on ML

• Xinyun Zhang, 2021–, co-supervised with Prof. Bei Yu, on ML

Group members based on areas/topics:

• MLSys: Xin, Yitao, Yicheng, Yuetao, Kaiwen

• Networking: Yunmo, Jingze, Wenlong, Shaofeng, Jianqiang

• ML and optimization: Qingyu, Wei

Alumni:

I have worked with these talented individuals, with their initial placement results (to the best of my knowledge):

PhD students and post-docs

Other research staff

Note: This list only has information to the best of my knowledge, and may be incomplete or inaccurate.

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.