Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0001-9840-078X
Scopus Author ID: 57196088764
Google Scholar Profile: Ms8IYg0AAAAJ
Impact
Qualifications (Brief)
PhD (Johns Hopkins University)
MA (Wake Forest University)
BSc (Sichuan University)
Biography
Hongyi Jiang earned a Ph.D. in Applied Mathematics and Statistics from Johns Hopkins University, a master’s degree in Mathematics from Wake Forest University, and a B.S. in Applied Mathematics from Sichuan University. From 2021 to 2024, he was a postdoctoral researcher at Cornell University. In October 2024, he joined the Department of Systems Engineering at City University of Hong Kong as an assistant professor.
His research focuses on developing mixed-integer programming and discrete optimization algorithms that combine theoretical rigor with practical effectiveness, particularly in their application to machine learning and real-world problem-solving.
Position(s) Available
PhD Openings
- I am currently recruiting highly motivated Ph.D. students to join our group at CityU HK. Our research focuses on the theoretical foundations of mixed-integer programming, its interactions with machine learning, and the development of algorithms that are both theoretically robust and practically efficient for solving real-world challenges across various domains. Students with backgrounds in mathematics, computer science, operations research, transportation science, industrial engineering, or related fields are encouraged to apply. Priority will be given to candidates with mature knowledge in discrete optimization or mixed-integer programming, strong mathematical backgrounds, and/or coding skills in algorithm development.
If interested, please send your CV (including GPA and average scores), transcript, and any highlighted publications to me at [email protected]. Please use the subject line "Ph.D. Application – [Your Name]".
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 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
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Collaborations from the last five years
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Research output
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Information complexity of mixed-integer convex optimization
Basu, A., Jiang, H., Kerger, P. & Molinaro, M., Mar 2025, In: Mathematical Programming. 210, 1-2, p. 3-45Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
4 Link opens in a new tab Citations (Scopus) -
Optimal Micro-Transit Zoning Via Clique Generation and Integer Programming
Goswami, R., Hu, H., Jiang, H. & Samaranayake, S., Nov 2025, IEEE Intelligent Transportation Systems Conference (ITSC 2025). IEEE, p. 583-589 7 p. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Approximation algorithm for generalized budgeted assignment problems and applications in transportation systems
Jiang, H. & Samaranayake, S., 31 Dec 2024, In: Discrete Applied Mathematics. 359, p. 383-399Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
Kerger, P., Molinaro, M., Jiang, H. & Basu, A., 2024, Proceedings of the 41 st International Conference on Machine Learning. p. 23532-23546 (Proceedings of Machine Learning Research; vol. 235).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Complexity of branch-and-bound and cutting planes in mixed-integer optimization
Basu, A., Conforti, M., Di Summa, M. & Jiang, H., Mar 2023, In: Mathematical Programming. 198, 1, p. 787-810Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
32 Link opens in a new tab Citations (Scopus)
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NSFC-YPC-HK: Integer Programming Approaches for Resource and Demand Driven Multimodal Transit Service Zoning
JIANG, H. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research
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ECS: Primal-Dual Approaches and Theory for Binary Optimization
JIANG, H. (Principal Investigator / Project Coordinator)
1/01/27 → …
Project: Research
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MF_RGC: Primal-Dual Approaches and Theory for Binary Optimization
JIANG, H. (Principal Investigator / Project Coordinator)
1/01/27 → …
Project: Research