Yuexin Bian (边玥心)

I am a PhD student in ECE department at University of California San Diego, advised by Prof. Yuanyuan Shi. I completed my undergraduate degree in Electrical Engineering from Zhejiang University, China.

My research interests broadly span optimization and reinforcement learning. I have been developing model-guided learning methods that make optimization and control more efficient, with practical applications in energy systems and beyond.

           


Research

My research interests broadly span optimization and reinforcement learning.

Recently, I have been particularly interested in combining reinforcement learning with domain knowledge from optimization and related fields. By integrating principled mathematical structures and problem-specific constraints into the learning process, my goal is to develop methods that are not only sample-efficient but also capable of making intelligent, reliable, and interpretable decisions.

Highlighted Publications

1. Strategic Demand Response Prediction

Predicting Strategic Energy Storage Behaviors
Yuexin Bian, Ningkun Zheng, Yang Zheng, Bolun Xu, Yuanyuan Shi
IEEE Transactions on Smart Grid, 2023
[PDF]/ [Code]/

Demand response model identification and behavior forecast with OptNet: A gradient-based approach
Yuexin Bian, Ningkun Zheng, Yang Zheng, Bolun Xu, Yuanyuan Shi
Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 2022
[PDF] / [Code]

2. Optimization and decision-making in energy systems

Carbon-Aware EV Charging
Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2022
[PDF] / [Code]

Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach
Yuexin Bian, Xiaohan Fu, Rajesh K Gupta, Yuanyuan Shi
Applied Energy, 2024, IF 11.2
[PDF] / [Code]

BEAR-Data: Analysis and Applications of an Open Multizone Building Dataset
Yuexin Bian, Xiaohan Fu, Bo Liu, Rohith Rachala, Rajesh K Gupta, Yuanyuan Shi
BuildSys, 2023
[PDF] / [Webpage]

Experience

  • Amazon Supply Chain Optimization Team (SCOT) | Jun 2025 – Sep 2025, Seattle
    Topic: Inventory Optimization with Visual Fullness

  • Amazon Grocery Optimization Team | Jun 2024 – Sep 2024, Seattle
    Topic: Robust Macroplanogram Design