Scholar
Tianshu Yu
Google Scholar ID: MTHO7DsAAAAJ
The Chinese University of Hong Kong, Shenzhen
Citations & Impact
Citations
629
H-index
11
i10-index
15
Publications
20
Co-authors
68
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Paper 'ChemLex on AI4Chemistry' accepted by Nature Communications.
- CIDSE Doctoral Fellowship, Arizona State University, Spring 2021.
- Engineering Graduate Fellowship, Arizona State University, 2018-2021.
- Alberta Innovates-Technology Futures Scholarship, University of Calgary, 2014-2016.
- Served as a reviewer and program committee member for several international conferences and journals, including ICLR, ICML, NIPS, CVPR, ICCV, ECCV, AAAI(SPC), and IJCAI.
Research Experience
- October 2021 - January 2024, AIRS, associate researcher (part-time).
- May 2020 - August 2020, AWS - Seattle, applied scientist intern. Mentors: Hao Li and Gurumurthy Swaminathan.
- May 2019 - August 2019, Adobe - Seattle, research intern. Mentors: Eli Shechtman, Connelly Barnes, and Sohrab Amirghodsi.
- May 2017 - August 2017, IBM Research China - Shanghai, research intern (Great mind project). Mentor: Dr. Junchi Yan.
- July 2012 - April 2014, Philips Product Creation Center - Shenyang, full-time Algorithm & Physics Engineer, developing algorithms for CT imaging.
Education
- Joined the School of Data Science at The Chinese University of Hong Kong, Shenzhen as an assistant professor in September 2021. Previously, obtained a Ph.D. in computer science from Arizona State University, advised by Professor Baoxin Li.
Background
- Research interests cover several aspects of machine learning and discrete optimization, particularly focusing on the theory and applications of machine learning for combinatorial problems on graphs, and seeking its interpretation under the deep learning framework. Currently also interested in applying machine learning to solve traditional problems in science, especially in chemistry and material areas.
Miscellany
- Will give a talk on 'AI for Chemical Synthesis' at the Department of Chemistry, McGill University on 2:00pm Sep 10, 2025; will be visiting MILA - Quebec AI Institute for 4 months (Aug - Nov) 2025.
