Ziqi Wen

I’m currently a first year Computer Science PhD Student at University of California, Santa Barbara (UCSB), advised by Professor Miguel Eckstein in Vision and Image Understanding Lab (VIU).

Before attending UCSB, I earned my master degree Master of Computational Data Science (MCDS) degree of the Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University (CMU). advised by Prof.Tai Sing Lee . Before attened CMU, I have received me bachelor’s degree in Computer Science and Technology from Zhejiang University (ZJU) in China, supervised by Prof.Zhaopeng Cui. I was also minor in psychology during undergraduate studying.

My current research primarily concentrates on the inherent biases towards shape and texture in different computer vision models. It has been shown that human vision exhibits a profound bias towards shapes, utilizing geons and compositional reasoning to excel in generalizing across vastly distinct domains. Drawing inspiration from the complex functioning of the visual cortex in processing image information, our objective is to construct a deep learning model that can effectively comprehend the global shape within images. The culmination of this endeavor aims to yield a model that can exhibit increased robustness and demonstrates superior generalization capacity.

Refer to my resume for more detail.