Tianshu Yu, 于天舒
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Assistant Professor
Director
Researcher (affiliated) Office: TxB 615 Phone: +86 0755-23517067 Email: yutianshu [at] cuhk [dot] edu [dot] cn |
News
- I will give a talk on "AI for Chemical Synthesis" at department of chemistry, McGill University on 2:00pm Sep 10, 2025.
- I will be visiting MILA - Quebec AI Institute 4 months (Aug - Nov) 2025.
- Our paper with ChemLex on AI4Chemistry was accepted by Nature Communications. [2025.5]
Brief Intro
I joined SDS@CUHKSZ as an assistant professor on Sep, 2021. Previously I got my Ph.D. in computer science at Arizona State University, advised by professor Baoxin Li.
My research interest covers several aspects of machine learning and discrete optimization. Generally, I like investigating theory and applications on machine learning of combinatorial problems on graph, and seeking its interpretation under deep learning framework.
Currently, I am also interested in applying machine learning to solve traditional problems in science (AI4Science), especially in chemistry and material areas.
Experience
- Oct 2021 - Jan 2024, AIRS, associate researcher (part-time)
- May 2020 - August 2020, AWS - Seattle, applied scientist intern. My mentors include Hao Li and Gurumurthy Swaminathan. Working on some projects on AutoML.
- May 2019 - August 2019, Adobe - Seattle, research intern. My mentors include Eli Shechtman, Connelly Barnes and Sohrab Amirghodsi. I was conducting a research of image inpainting via understanding the contextual layout of the scene.
- May 2017 - August 2017, IBM Research China - Shanghai, research intern (Great mind project). My mentor is Dr. Junchi Yan and my research is about joint cuts and matching of graphs.
- July 2012 - April 2014, Philips Product Creation Center - Shenyang, full-time Algorithm & Physics Engineer. My responsibility is developping algorithms for CT imaging.
Services
- Editor-in-Chief, Science Digitalization, AIMS Publishing.
- Area Chair: ACL ARR 2025.
- Conf PC/reviewer: ICLR, ICML, NIPS, CVPR, ICCV, ECCV, AAAI(SPC), IJCAI.
- Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Image Processing (TIP), Pattern Recognition, Pattern Recognition Letters
Honors and Awards
- 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
