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About me

I recently defended my Ph.D. thesis on Inertial-aided Visual Perception of Geometry and Semantics. In the past 5 years, I’ve been working at UCLA Vision Lab with Prof. Stefano Soatto.

My research interests include computer vision, robotics, and machine learning. Specifically, I’m interested in developing models (include, but not limited to, deep learning models) and engineering systems to solve real-world problems in multi-sensor settings.

Our paper Geo-Supervised Visual Depth Prediction about leveraging visual-inertial sensor packages, and gravity-induced shape priors to improve depth prediction has won the Best Paper Award in Robot Vision at ICRA 2019, out of 2900 submissions.

Before joining Vision Lab, I've obtained my B.Eng. from Zhejiang University, Hangzhou, China, 2014. I majored in Information and Electronic Engineering in undergraduate, and it was my great pleasure to be a member of the Advanced honor Class of Engineering Education (ACEE), where I practiced a lot in mathematical modeling contests and enjoyed exchanging ideas with other engineering majors.

A recent CV is available here.

Code & Data

Demo

Publication

Talk & Workshop

Teaching