About Me
I am an assistant professor of computer science at Brown University, studying computer vision, machine learning, and artificial intelligence. I am also a staff research scientist at Google Research.
Previously, I received my Ph.D. from the University of Southern California in 2016, advised by Prof. Ram Nevatia. I completed my bachelor degree in Computer Science at Tsinghua University in 2011. I did research internships at Google and Facebook.
My ongoing research projects involve learning multimodal representation and visual commonsense from unlabeled videos, to recognize human activities, objects, and their interactions over time, and to transfer the representation to embodied agents. I believe multimodal learning is a pathway for computer vision to help language understanding, robotics, and cognitive science.
I am looking for highly motivated students to join my lab at Brown, please find information for prospective students. Together with my amazing colleagues, we are organizing the exploreCSR program.
Teaching
- CSCI 2952-N, Advanced Topics in Deep Learning, Spring semesters.
- CSCI 1470 and 2470, Deep Learning, Fall semesters.
- CSCI 2950-K, Special Topics in Computational Linguistics, Fall 2020.
Services
- Area Chair, CVPR 2020, 2021, and 2022.
- Senior PC, AAAI 2021, and 2022.
- Area Chair, WACV 2017, and 2018.
Group
PhD students
Student researchers
- Usha Bhalla
- Tian Yun (Joint with Ellie Pavlick)
- Jake Sokol (class of 2021 at Brown, now at a startup)
- Emily Byun (class of 2021 at Brown, now PhD student at CMU)
- Michael Mao (class of 2021 at Brown, now software engineer at Microsoft)
