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Xiongyi Zhang is a Computer Science PhD student from Beijing, China. He received his BS in Mathematics and MS in Applied Statistics from Tsinghua University in Beijing. Advised by Ehsan Elhamifar, the research he does at Northeastern concerns unsupervised learning, which includes data compression and generating data using GAN, and the combination of both.
Zhang would like to find a solution to combine the text information of a video, such as subtitles, with the visual information to better select representative frames of the video. He is compelled and interested in finding out that two seemingly irrelevant problems can have a strong connection, and by exploiting this connection, researchers can achieve exciting new results.
- MS in Applied Statistics, Tsinghua University
- Hometown: Beijing, China
- Field of Study: Machine Learning
- PhD Advisor: Ehsan Elhamifar
What are the specifics of your graduate education (thus far)?
I received my Bachelor of Science in Mathematics from Tsinghua University, and after that, a Master of Applied Statistics also in Tsinghua University.
What are your research interests in a bit more detail? Is your current academic/research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why?
Currently, my research is mainly in the fields of unsupervised learning, which includes data compression and generating data using GAN, and the combination of both, among others.
What’s one problem you’d like to solve with your research/work?
My recent goal is to combine text information of a video (its subtitles, for instance), with its visual information to better select representative frames of the video.
What aspect of what you do is most interesting/fascinating to you? What aspects of your research (findings, angles, problems you’re solving) might surprise others?
The most fascinating thing is finding out that two seemingly irrelevant problems or fields actually have a strong connection, and by exploiting this connection we can achieve exciting new results.
What are your research/career goals, going forward?
To be able to consider myself an expert in my field of study.