Yu Li (李煜)
Assistant Professor
Department of Computer Science and Engineering (CSE)
The Chinese University of Hong Kong (CUHK)
The CUHK Shenzhen Research Institute (SZRI) (by courtesy)
Office: Room 106, Ho Sin-Hang Engineering Building, CUHK
Email: liyuATcse.cuhk.edu.hk, liyu4017ATgmail.com
[CV]   [Research summary in one slide]  [Google Scholar]   [Linkedin]   [ORCID: 0000-0002-3664-6722]

Opening: I am now looking for motivated (remote) summer intern students and Research Assistant (RA) for Summer 2022. If you are interested in and want to collaborate with me, feel free to contact me with your CV. For the previous successful cases, please refer to Mentoring. On the other hand, before contacting me, please carefully evaluate your motivation and your time. Most students would give up in one or two weeks. In that case, it would waste your time and hurt your credit in the long term. Giving up is terrible for personal development and destroys your confidence.
Opening: I am now looking for motivated PhD/Mphil students, working on machine learning and healthcare, for 2023Fall. If you are interested, feel free to drop me an email with your CV. You are also encouraged to apply through our official website, either regular apply or HKPFS. You can know more about what the supervisor can provide here.
Opening: We also have several Postdoc position openings. If you think you are qualified, feel free to drop me an email with your CV.

Recent news

Short Bio

Yu joined the CSE department at CUHK in December 2020 as an assistant professor, leading the Artificial Intelligence in Healthcare (AIH) group. He was selected to the Forbes 30 Under 30 Asia list – Class of 2022, Healthcare & Science.
He obtained Ph.D. in Computer Science from KAUST, under the supervision of Prof. Xin Gao, in October 2020 (KAUST news).
He got Master degree in Computer Science at KAUST in December 2016.
He got Bachelor degree (honored) in Biosciences from the BEI Shizhang Elite Class at USTC in 2015.
He was born on April 1st, 1995 in Fengyang, China.

Research interests

I am working at the intersection between machine learning, healthcare and bioinformatics, developing new machine learning methods to resolve the computational problems in biology and healthcare, especially the structured learning problems.
My long-term goal is to improve the healthcare system, benefiting society directly by improving people's health and wellness.
[All publications] [Selected publications] [Research summary in one slide] [Ph.D. thesis, Defense slides] [Job talk: bilibili, YouTube]

Recent experiences

Academic services [Full list]

Selected awards [Full list]