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Shuang Li Assistant Professor School of Data Science
The Chinese University of Hong Kong (Shenzhen) Daoyuan Building, 508b
Shenzhen, Guangdong, China
Email: lishuang@cuhk.edu.cn
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Biography
I am an Assistant Professor in the School of Data Science at The Chinese University of Hong Kong (Shenzhen). Previously, I was a postdoctoral fellow at Harvard University, working on mobile health with Prof. Susan Murphy.
I earned my Ph.D. in Industrial Engineering from H. Milton Stewart School of Industrial & Systems Engineering
at Georgia Tech in
2019, and earlier,
I received B.E. in Automation from University of Science and Technology of China in 2011.
[Google Scholar] [Curriculum Vitae]
I am now recruiting research assistants! I have multiple PhD openings this year. If you are interested in working on machine learning for healthcare projects, and with good programming skills and math background, you can contact me via email with your CV.
Research Interests
My research has yielded new sequential data analysis and decision-making tools, all inspired and motivated by applications in healthcare, smart cities and social media.
I develop new methodological frameworks that combine deep learning, time series analysis, cognitive science and point processes
to address the complexity and volume of the sequential data collected in modern systems.
More specifically, my research focuses on:
Interpretable machine learning: knowledge discovery and logical reasoning
Temporal and spatial dynamic modeling of humans and objects
Applications of machine learning to healthcare
News
Jan, 2024, one paper was accepted at AISTATS, 2024.
Jan, 2024, two papers were accepted at ICLR, 2024.
Sep, 2023, I was invited to serve as an area chair at ICLR, 2024.
Sep, 2023, one paper was accepted at NeurIPs, 2023.
Feb, 2023, I was invited to serve as an area chair at NeurIPs, 2023.
Jan, 2022, one paper was accepted by ICLR, 2022.
Dec, 2021, I was invited to serve as a meta reviewer (i.e., area chair) at ICML, 2022.
June, 2021, I became a tenure-track Assistant Professor with the School of Data Science at The Chinese University of Hong Kong (Shenzhen).
...
Awards
People
PhD student
       — Chao Yang (2022- ) BS: Shandong University, MS: University of Edinburgh
       — Wendi Ren (2023- ) BS: Zhongshan University, MS: Georgia Institute of Technology
       — Xinye Chen (2023- ) BS: Zhejiang University of Finance & Economics, MS: Johns Hopkins University
Research Assistant
       — Chengzhi Cao (2022 Dec- ) Visiting student from the University of Science and Technology of China
       — Zitao Song (2022 Jun-2023 May) Master student at The Chinese University of Hong Kong (Shenzhen)
       — Yang Yang (2022 Oct- ) Master student at The Chinese University of Hong Kong (Shenzhen)
       — Yinghao Fu (2023 May- ) Master student at The Chinese University of Hong Kong (Shenzhen)
       — Shuting Cui (2023 July- )
Undergraduate student (who has been working closely with me)
       — Minghao Mou (2022 Jun-2023 May) Initial placement: PhD student in ECE at Purdue University
       — Yiling Kuang (2022 Sep-2023 May) Initial placement: PhD student in Statistics at The Chinese University of Hong Kong
       — Zhaner Mou (2021 Dec-2022 May) Initial placement: Master student in Biostatisitcs at UC San Diego
       — Zilin Jing (2022 May- )
       — Junyu Leng (2024 Jan- )
Publications
Conference
Temporal Logic Point Processes
S. Li, L. Wang, R. Zhang, X. Chang, X. Liu, Y. Xie, Y. Qi, and L. Song
International Conference on Machine Learning (ICML), 2020.
Journal
Detecting Weak Changes in Dynamic Events over Networks
S. Li, Y. Xie, M. Farajtabar, A. Verma, and L. Song
IEEE Transactions on Signal and Information Processing over Networks, Vol. 3, No. 2, June 2017.
       — Finalist of 2018 INFORMS Social Media analytics Best Student Paper
Competition
Book Chapter
Workshop
Teaching
DDA 2001 Introduction to Data Science
       — Undergraduate level course, The Chinese University of Hong Kong, Shenzhen, Spring 2024.
DDA 6060/CSC 6022 Machine Learning
       — Graduate level course, The Chinese University of Hong Kong, Shenzhen, Spring 2024.
CSC 6137 Generative Models
       — Graduate level course on generative models, The Chinese University of Hong Kong, Shenzhen, Fall 2023.
DDA 6060/CSC 6022 Machine Learning
       — Graduate level course, The Chinese University of Hong Kong, Shenzhen, Spring 2023.
DDA 6107 Advanced Machine Learning
       — Graduate level course on probabilistic graphical models and generative models, The Chinese University of Hong Kong, Shenzhen, Fall 2022.
DDA 6060 Machine Learning
       — Graduate level course, The Chinese University of Hong Kong, Shenzhen, Spring 2022.
DDA 2001 Introduction to Data Science
       — Undergraduate level course, The Chinese University of Hong Kong, Shenzhen, Fall 2021.
Services
Program Committee/External Reviewer for:
ICML, NIPS, AAAI, AISTATS, WWW, UAI, ICASSP
Journal of American Statistical Association, Annals of Applied Statistics,
IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory,
Transactions on Knowledge and Data Engineering,
IEEE Transactions on Neural Networks and Learning Systems
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