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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 with me, and with good programming skills and math background, you can contact me via email with your CV.
Research Interests
My research delves into the development of knowledge-enhanced sequential models and sequential decision tools, which prioritize interpretability
and trustworthiness in machine learning.
More specifically, my research focuses on:
Knowledge-Enhanced Sequential Models: By integrating domain-specific knowledge into machine learning algorithms, we aim to facilitate transparent decision-making processes and to create robust and reliable frameworks applicable in high-stakes systems.
Human Cognitive Process Modeling: By incorporating Theory of Mind and spatial-temporal logical reasoning into AI systems, we aim to enable effective collaboration between humans and AI.
Applications in Healthcare: We aim to apply machine learning tools to improve healthcare policies, clinical workflows, and patient outcomes through informed decision-making.
People
PhD student
       — Chao Yang (2022- ) BS: Shandong University, MS: University of Edinburgh
       — Wendi Ren (2023- ) BS: Sun Yat-sen 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-2024 Jan) Visiting student from the University of Science and Technology of China. News: PhD offers from CMU etc
       — Zitao Song (2022 Jun-2023 May) Master student at The Chinese University of Hong Kong (Shenzhen). News: PhD offers from Purdue, Washington University in St. Louis, Univ. Virginia etc
       — 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- 2023 Dec)
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- ) News: PhD offers from Columbia Univ., Umich, CMU, GaTech
       — Junyu Leng (2024 Jan- )
       — Shuhan Zhang (2024 March- )
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
Area Chair for:
Reviewer for:
ICML, NeurIPS, ICLR, AAAI, AISTATS, UAI
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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