I am currently a postdoctoral fellow in the Department of Systems Engineering at the City University of Hong Kong, and I am working with Prof. Siyang Gao. Before that, I got my Ph.D. in Management Science and Engineering in the Department of Industrial Engineering and Management at Peking University (PKU) and was advised by Prof. Jie Song. I also got my B.E. degree in Aerospace Engineering at PKU in 2019. I visited CMS (Computing and Mathematical Sciences) at California Institute of Technology as a visiting scholar (Dec. 2022 - Dec. 2023) and was advised by Prof. Adam Wierman.
Research Area
My research lies at the intersection of optimization and artificial intelligence (AI) for complex, data-driven systems. I aim to develop efficient, theoretically grounded algorithms by integrating tools from optimization, data science, and AI, with a particular emphasis on reinforcement learning, zeroth-order optimization, deep learning, and simulation-based optimization. My work is motivated by real-world operational challenges, with primary applications in demand-side management for low-carbon energy systems and supply chain operations.
Contact Me
Email: syeruiyajin [at] cityu [dot] edu [dot] hk
Address: P7505, Yeung Kin Man Academic Bldg, CityU
News
- [2026-06] Our new paper “A Min-Max Gradient Search Method for Constrained Simulation Optimization” is now available on arXiv.
- [2026-05] I will give a talk titled “Query-Efficient Zeroth-Order Algorithms for Distributed Energy Management” in ICSS 2026, Hangzhou.
- [2026-01] I will give a talk titled “Query-Efficient Zeroth-Order Algorithms for Black-Box Constrained Problems” at the Academy of Mathematics and Systems Science.
- [2026-01] Our paper “Zeroth-Order Feedback-Based Optimization for Distributed Energy Management” was accepted to EJOR.
- [2025-10] Our new paper “Query-Efficient Zeroth-Order Algorithms for Nonconvex Optimization” is now available on arXiv.
- [2025-07] Our paper “Zeroth-Order Extra-Gradient Method for Constrained Convex Optimization” was accepted to CDC 2025. See you in Rio de Janeiro!
- [2025-06] Our new paper “A Zeroth-Order Extra-Gradient for Black-Box Constrained Optimization” is now available on arXiv.
- [2025-01] Our paper “Approximate Global Convergence of Independent Natural Actor-Critic in Multi-Agent Systems” was accepted to AISTATS 2025. See you in Mai Khao!
- [2024-10] I will give a talk titled “Randomized Zeroth-Order Feedback-Based Coordinate Descent Algorithm for Simulation-Embedded Problems” at the 2024 Informs Annual Meeting.
- [2024-09] I joined CityU as a postdoctoral fellow.