Lin, Yunduan(林韵端)
BEng(Tsinghua); MS(UC Berkeley); PhD(UC Berkeley)
Assistant Professor
Contact Room 950, 9/FCheng Yu Tung Building
12 Chak Cheung Street
Shatin, N.T., Hong Kong
+852 3943 7811
yunduanlin@cuhk.edu.hk
Links
Biography
Professor Yunduan Lin joined the Department of Decisions, Operations and Technology at the Chinese University of Hong Kong (CUHK) Business School as an Assistant Professor in August 2024. Professor Lin received her PhD and MS degrees from the University of California, Berkeley and her BEng from Tsinghua University.
Her research centres on societal operations management, specifically on social network analytics and platform operations. She aims to create a more precise reflection of the interconnected societal systems, which, in turn, enables improved decision-making for business problems.
Research Interests
Social Network Analytics
Platform Operations
Supply Chain Management
AI and Machine Learning in Business
- Publications & Working Papers
Journal
- Yunduan Lin, Heng Zhang, Renyu Zhang, and Zuo-Jun Max Shen (2024). “Nonprogressive diffusion on social networks: Approximation and applications,” under revision.
- Yunduan Lin, Mengxin Wang, Heng Zhang, Renyu Zhang, and Zuo-Jun Max Shen (2024), “Content Promotion for Online Content Platforms with the Diffusion Effect,” Manufacturing & Service Operations Management, 26(3), 1062-1081.
- Yunduan Lin, and Ruimin Li (2020), “Real-time Traffic Accidents Post-impact Prediction: Based on Crowdsourcing Data,” Accident Analysis & Prevention, 145, 105696.
Refereed Conference Proceedings
- Haoting Zhang, Donglin Zhan., Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, and Zeyu Zheng (2024), “Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data,” Proceedings of the Fifth Conference on Health, Inference, and Learning, in Proceedings of Machine Learning Research, 248, 39-54.
- Yifan Zheng, Yoonsuk Huh, Qianqian Su, Jiaming Wang, Yunduan Lin, Kai Vetter, and Youngho Seo (2020), “Collimatorless scintigraphy for imaging extremely low activity targeted alpha therapy (TAT) with weighted robust least squares (WRLs),” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 803-811. Cham: Springer International Publishing.
- Grants
- CUHK Improvement on Competitiveness in Hiring New Faculties Funding Scheme, PI, with HKD 1,307,270, 2024 (PI)
- Awards & Honours
- Outstanding Graduate Student Instructor Award, University of California, Berkeley, 2024
- Finalist, the 18th INFORMS DMDA Workshop Best Paper Competition Award (Theoretical Track), 2023
- Finalist, INFORMS Minority Issues Forum Poster Competition, 2023
- First-Place Prize, the 13th POMS-HK International Conference Best Student Paper Award, 2023
- Second Place, OR/MS Tomorrow Mini-poster Competition, 2022
- Winner, INFORMS Social Media Analytics Best Student Paper Award, 2022