Hi, I’m Xieyuan (Francis), welcome to my homepage!
I am currently a second-year master student in Mechanical Engineering at Stanford University. I’m part of the Jackrabbot team at Stanford Vision and Learning Lab, under guidance of Dr. Claudia Pérez D’Arpino.
I’ve long been interested in the broad topic of mixed-autonomy traffic, especially decision making of autonomous vehicle when interacting with human-driven vehicles. Under this context, my current research interests are learning-based optimal control and safe reinforcement learning.
I received my B.Eng. in automotive engineering from School of Vehicle and Mobility (SVM), Tsinghua University in 2018. I was fortunate to intern at Wayve in 2019.
Jung, D., Ahmed, Q., Zhang, X., & Rizzoni, G. (2018). Mission-based Design Space Exploration for Powertrain Electrification of Series Plugin Hybrid Electric Delivery Truck (No. 2018-01-1027). SAE Technical Paper. [PDF]
Hu, Y., Feng, S., Yao, C., Shao, W., Xu, L., Zhang, X., … & Yan, R. (2017). Evaluation of a Commercial Demonstration Bus Line Utilizing Wireless Charging Technology. SAE International Journal of Commercial Vehicles, 10(2017-01-0651), 373-385. [PDF]