Group

Current Students:

• Yang An, 2023.8-Now (Phd, visiting student from Northeastern University).

  Research Area: Distributed Machine Learning System.

Alumni:

• Han Gui, 2022.9-2023.8 (visiting student from University of Science and Technology of China).

  Research Area: Distributed Machine Learning System.

• Junhong Chen, 2020.9-2023.7 (Co-supervised with Prof Yang Wang).

  Research Area: Data center networking.

• Siting Zhu, 2021.8-2021.10 (visiting student from HIT-SZ), on Distributed Machine Learning System. -> Ph.D. student at SJTU.

• Shuhui Chu, 2019.6-2020.8 (visiting student from Jilin University), on Mobile Offloading. -> Ph.D. student at the University of Macau, under the supervision of Professor Chengzhong Xu.

Advice to students: Mentality, mentality, mentality!

Many students have the question: what should I do to prepare for the graduate study? Instead of a list of papers to read or any technical skills, I believe mentality (initiative, attitude, etc.) is the most important. With the right mentality, everything follows.

The following article contains an excellent summary of advice for students (and even profs) to prepare their mentality for grad school. I just wish everyone could read it so that he/she doesn't have to learn the hard way.

Jason Hong. PhDs from the Faculty's Perspective, Blog@CACM, 2012.

Inspiring readings

Some blogs and websites related to Computer Science research that I browse from time to time:

• How to do great research, by Nick Feamster and Alexander Gray.

• The networking philosopher’s problem, SIGCOMM Computer Communication Review, 41(3), pp.5–9, July 2011