PhD student Zuxuan Wu named inaugural Snap Fellow
Ph.D. student Zuxuan Wu is a now a member of Snap, Inc.'s first class of research fellows. Wu joins eleven other Ph.D. students from universities around the country who specialize in areas ranging from HCI, to computer vision, to machine learning. Wu is a first year Ph.D student in the Department of Computer Science and his advisor is Professor Larry Davis. Wu's specialty is machine learning and his work has already been published in seven papers. He earned a master's degree from Fudan University with Professors Yu-Gang Jiang and Xiangyang Xue. He has also worked as an intern with Dr. Leonid Sigal at Disney Research.
Snap, Inc. announced their list of fellows with the following statement:
"Snap Inc. has valued research since the company’s very early days: even when the company numbered only 150 employees, we already had a small research team. Today, Snap Research is a lab of 40 people, and we collaborate widely with students and faculty in academia. In the past year alone, we published papers in numerous leading conferences, including CVPR, ICCV, BMVC, IJCAI, AAAI, and SIGGRAPH Asia.
We chose outstanding PhD students carrying out research in areas of computer science relevant to our company, including computer graphics, natural language processing, computer vision, machine learning, data mining, speech and audio processing, artificial intelligence, human-computer interaction, and other related fields.
These inaugural fellows were selected based on the relevance and quality of their research, their academic performance in technical coursework, their understanding of how research initiatives could contribute to future innovation at Snap Inc., and their technical and communication skills."
The Department welcomes comments, suggestions and corrections. Send email to editor [at] cs [dot] umd [dot] edu.