Personal profile
Author IDs
ORCID iD: 0000-0002-3574-6393
Scopus Author ID: 55619933800
Impact
Qualifications (Brief)
BS(PKU), PhD(Univ of Wisconsin)
Biography
Dr. Siyang Gao received a B.S. in Statistics and Probability from School of Mathematics at Peking University in 2009 and a Ph.D. in Industrial Engineering at University of Wisconsin-Madison in 2014. His research interests include methodology of large-scale optimization, computing budget allocation in simulation optimization and radiation treatment in health care.
Position(s) Available
For prospective students
- I am looking for qualified Ph.D. students to do research on simulation optimization or large-scale optimization. If you are interested, please send your CV and transcript to my email ([email protected]) for consideration.
Research Interests/Areas
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simulation optimization
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large-scale optimization
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radiation treatment planning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 5 Gender Equality -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
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Collaborations from the last five years
Research output
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Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
Chen, S. (Co-first Author), Zhang, J. (Co-first Author), Zhu, T., Liu, W., Gao, S., Xiong, M., Li, M. & He, J., Jul 2025, Proceedings of the 42nd International Conference on Machine Learning. Singh, A., Fazel, M., Hsu, D., Lacoste-Julien, S., Berkenkamp, F., Maharaj, T., Wagstaff, K. & Zhu, J. (eds.). ML Research Press, p. 9803-9817 15 p. (Proceedings of Machine Learning Research; vol. 267).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Stochastically constrained best arm identification with Thompson sampling
Yang, L., Gao, S., Li, C. & Wang, Y., Jun 2025, In: Automatica. 176, 112223.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Link opens in a new tab Citation (Scopus) -
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
Chen, S., Zhu, T., Zhou, R., Zhang, J., Gao, S., Carlos Niebles, J., Geva, M., He, J., Wu, J. & Li, M., Jul 2025, Proceedings of the 42nd International Conference on Machine Learning. Singh, A., Fazel, M. & Hsu, D. (eds.). ML Research Press, p. 9910-9932 (Proceedings of Machine Learning Research; vol. 267).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
A Contextual Ranking and Selection Method for Personalized Medicine
Du, J., Gao, S. & Chen, C.-H., 2024, In: Manufacturing and Service Operations Management. 26, 1, p. 167-181Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
17 Link opens in a new tab Citations (Scopus) -
Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation
CAKMAK, S., WANG, Y., GAO, S. & ZHOU, E., Apr 2024, In: ACM Transactions on Modeling and Computer Simulation. 34, 2, 8.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus)16 Downloads (CityUHK Scholars)
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GRF: Finite-time Analysis of a Class of Simulation Optimization Algorithms
GAO, S. (Principal Investigator / Project Coordinator)
1/08/25 → …
Project: Research
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NSFC-GP-SRI: 基于仿真优化的精准医疗方法
GAO, S. (Principal Investigator / Project Coordinator) & 邱韫哲 (Co-Investigator)
1/01/24 → …
Project: Research
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GRF: Optimizing Interventions for Changing HIV Risk Behaviors via Temporal Link Prediction in MSM Social Networks
ZHANG, Q. (Principal Investigator / Project Coordinator), GAO, S. (Co-Investigator), Lau, J.T.-F. (Co-Investigator), LI, X. (Co-Investigator) & Tang, W. (Co-Investigator)
1/01/22 → 15/11/23
Project: Research
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NSFC-SRI: 基于仿真优化的急诊医护人员配置与调度问题的研究
GAO, S. (Principal Investigator / Project Coordinator)
1/01/18 → 31/12/20
Project: Research
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GRF: Ranking and Selection Under Input Uncertainty
GAO, S. (Principal Investigator / Project Coordinator)
1/01/18 → 27/06/22
Project: Research
Prizes
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File
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IEEE-CASE Best Conference Paper Award
GAO, S. (Recipient), 24 Aug 2019
Prize: RGC 64B - Prizes and awards
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Best Student Paper Award
GAO, F. (Recipient) & GAO, S. (Recipient), 21 Apr 2017
Prize: RGC 64B - Prizes and awards
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Winner, LOGMS Best Paper Competition, 2019
GAO, S. (Recipient), 14 Aug 2019
Prize: RGC 64B - Prizes and awards