I'm currently a first-year Ph.D. student in School of Computer Science at Wuhan University, advised by Prof. Bo Du. I received my B.S degree in computer science from Wuhan University in 2019.
My research interest lies in Imitation Learning and its applications in computer vision fileds. Specifically, I want to make imitation learning more practical in real-world tasks by considering how to exploit imperfect demonstrations. Additionally, I also keep a close attention on deep learning algorithms in computer vision.
Yunke Wang, Chang Xu, Bo Du, Honglak Lee. Learning to Weight Imperfect Demonstrations. ICML 2021.
Yunke Wang, Chang Xu, Bo Du. Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. IJCAI 2021.
Yunke Wang, Bo Du, Chang Xu. Multi-Tailed Vision Transformer for Efficient Inference. Preprint.
Outstanding Student Scholarship Wuhan University 2018, 2016