Publications

Preprints and Working Papers

Wu, Z., Jin, R., Lin J., Song, J., He, G., Zeroth-Order Optimization for Energy Storage Management with Black-Box Degradation Model. Under review.
Jin, R., Zhou, Y., Tang, Y., Song, J., Gao, S., Query-Efficient Zeroth-Order Algorithms for Nonconvex Constrained Optimization. Major revision at INFORMS Journal on Computing. [Paper]
Zhou, Y., Jin, R.*, Gao, S., Wang, J., Song, J., A Zeroth-Order Extra-Gradient for Black-Box Constrained Optimization. Under revision at Automatica. [Paper]
Jin R., Zhou Y., Zhang F., Jin R.*, Gao S., From Data to Decisions: ICNN-Based Convex Optimization for Distributed Energy Management. Under revision at Computers and Operations Research.
Jin, R., Gao, S., Lam H., A Min-Max Gradient Search Method for Constrained Simulation Optimization. Under review at INFORMS Journal on Computing.
Jin R., Wang J., Gao S., et al., Derivative-Free Optimization: An Optimization Engine for Frontier AI and Engineering Systems. Under revision at Nexus.
Jin R., Gao S., Behavioral Common Random Numbers for Gradient Estimation in LLM-Embedded Simulation. Writing in progress.

Jin, R., Tang, Y., & Song, J. (2026). Zeroth-Order Feedback-Based Optimization for Distributed Energy Management. European Journal of Operational Research. [Paper]
Wang, R., Jin, R.*, & Song, J. (2025). Localized Multi-Agent Reinforcement Learning for Cooperative Management of Supply Chains. Asia-Pacific Journal of Operational Research, 2540010. [Paper]
Jin, R., Zhou, Y., Lu, C., & Song, J. (2022). Deep Reinforcement Learning-Based Strategy for Charging Station Participating in Demand Response. Applied Energy, 328, 120140. [Paper]
Wang, P., Wang, J., Jin, R., Li, G., Zhou, M., & Xia, Q. (2022). Integrating Biogas in Regional Energy Systems to Achieve Near-Zero Carbon Emissions. Applied Energy, 322, 119515. [Paper]
Zhang, T., Wang, J., Wang, H., Jin, R., Li, G., & Zhou, M. (2022). On the Coordination of Transmission-Distribution Grids: A Dynamic Feasible Region Method. IEEE Transactions on Power Systems, 38(2), 1855-1866. [Paper]
Jin, R., Lu, C., & Song, J. (2020). Manage Distributed Energy Storage Charging and Discharging Strategy: Models and Algorithms. IEEE Transactions on Engineering Management, 69(3), 755-764. [Paper]
Jin, R., Song, J., Liu, J., Li, W., & Lu, C. (2020). Location and Capacity Optimization of Distributed Energy Storage System in Peak-Shaving. Energies, 13(3), 513. [Paper]

Zhou, Y., Jin, R.*, Wang, J., & Song, J. (2025, December). Zeroth-Order Extra-Gradient Method for Constrained Convex Optimization. In 2025 IEEE 64th Conference on Decision and Control (CDC) (pp. 567-572). IEEE. [Paper]
Jin, R., Chen, Z., Lin, Y., Song, J. & Wierman, A.. (2025). Approximate Global Convergence of Independent Learning in Multi-Agent Systems. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research 258:2818-2826 [Paper]
Zhou, Y., Jin, R., & Song, J. (2022, July). An Online Learning Method for Industrial Demand Response Based on Load Disaggregation. In 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 916-921). IEEE. [Paper]
Jin, R., Lu C, Song J. Deep Reinforcement Learning-based Strategy for Charging Station Participating in Demand Response. 2021 IEEE PES General Meeting, oral speech.
Jin, R., Lu, Y., Wang, Y., & Song, J. (2020, August). The Short-Term Power Consumption Forecasting Based on the Portrait of Substation Areas. In 2020 IEEE International Conference on Knowledge Graph (ICKG) (pp. 649-653). IEEE. [Paper]