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)
Email: liyuATcse.cuhk.edu.hk, liyu4017ATgmail.com (To be sustainable, I am trying to force myself not to reply to emails other than 9am to 6pm, Mon to Fri)
[Research summary in one slide] [Google Scholar] [Linkedin] [ORCID: 0000-0002-3664-6722]
Opening: Intern for Summer 2023, PhD/Mphil students for 2023Fall and 2024Fall (Students with non-CS majors are very welcomed), Postdoc (HKD 540K per year-2023).
Recent news
- Nov 2023, USPNet is accepted by Nature Computational Science. Congratulations, Junbo, Qinze and Shawn! Of note, Junbo started working on the project when he was Year-2 for the Undergraduate Summer Research Project in 2022. The work is accepted when he is a Year-4 UG. What an achievement!
- May 2023, our joint work with AGIS, KAUST, and UChicago on modeling human complex diseases using EHRs has been published in Nature Computational Science.
- Summer 2023, invited to visit Prof. James Collins group at MIT as a Visiting Assistant Professor, Wyss Institute at Harvard as a Visiting Scholar, and Broad Institute of MIT and Harvard as an Associated Scientist.
- Dec 2022, our joint teams with Zelixir, AICHEMY_RNA and AICHEMY_RNA2, won the Championship in the CASP15-RNA 3D structure prediction competition! [Past 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. [Quick facts about him]
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
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Summer, 2023: Visiting Assistant Professor at MIT, Boston, USA
Advisor: James Collins -
Summer, 2022: Visiting Assistant Professor at MIT, Boston, USA
Advisor: James Collins
[More...]
Academic services [Full list]
- Reviewer for Nature Communications, Nucleic Acids Research, Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence, et al.
- Serve as PC member periodically for ICLR, NeurIPS, AAAI, et al.
Selected awards [Full list]
- Forbes 30 Under 30 Asia list – Class of 2022
- KAUST Alumni Change Makers Awards, 2022, KAUST
- Certificate of Honor Rank (5% out of all graduates in 2015 at USTC), 2015, USTC
- National Scholarship, 2013