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.
My current research interests at Stanford are as follows:
Efficient and interpretable learning from demonstration (LfD) for robot social navigation
Model-based safe exploration in near accident scenario
Besides, 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.
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]