Last Update: November. 15th, 2017.
I am a Ph.D. student in the Computer Science Department at Boston University. I am advised by Professor Brian Kulis. My academic interests broadly include deep learning, image segmentation, video representation learning, and metric learning for image retrieval.
Since this September, I’ve been working as Graduate Quantitative Research Intern at Legendary Applied Analytics under the supervision of Dr. Jonathan Foster. Our research work at Legendary focuses on video representation learning for trailer movies.
Before BU, I was a ME student in Computational Science and Engineering at Harvard. During 2013 and 2016, I’ve been fortunate to work with Dr. Mohammed AlQuraishi and Professor Peter Soger at the Sorger Lab and the Laboratory of Systems Pharmacology at Harvard Medical School. Before coming to Harvard, I received my M.S. degree in Computer Engineering at Brown University. During my undergraduate at Beijing Institute of Technology, I studied in Information and Electrical Engineering.
This website is still under construction. For more information, welcome to my old webpage.
November 2017, one paper submitted to CVPR 2018. Our new paper: "W-Net: A Deep Model for Fully Unsupervised Image Segmentation" posted here. I am very honored and thankful to have received the Dean’s Fellow Scholarship 2017! 2016 Fall: I am the Teaching Assistant for course CS131 Combinatoric Structures. I am very honored and thankful to have received the Harvard IACS Student Scholarship 2016! Our new paper "Cost-Sensitive Batch Mode Active learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice." has just been accepted by In Proceedings of SIAM Data Mining Conference (SDM) 2016. pdf.</BLOCKQUOTE> ---