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I am a research assistant professor of School of Computing at National University of Singapore. I spent two years working at Google Brain with Quoc Le and Thang Luong previously. I graduated as a PhD from the Machine Learning Department at Carnegie Mellon University, where I was advised by Eduard Hovy. Before that, I was an undergraduate student from the ACM Honored Class at Shanghai Jiao Tong University.

Contact

I am looking for postdocs, PhDs, masters and vistors to join our group. If you are interested in working with me, please email me your CV.

Research

In general, my research goal can be broken down into three aspects.

• First, I am fascinated and curious about many unsolved questions. For example, how can we represent human knowledge to empower AI to infer hidden information within a sentence / image? How could AI decide what knowledge to keep and what to forget when adapting to a new task?
• Second, I hope our work are geared towards paradigm shifts of our industry, ultimately rendering AIs that produce a profound impact in the society. Thanks to a few insightful work, new paradigms emerge in machine learning every few years, equipping AI with completely new capabilities.
• Third, I hope we are constantly exploring new fields and looking at our problems from frensh perspectives. Deep learning community's first stab at machine learning is motivated by neural science. So I try not to draw a sharp line of distinction between what is my research interest and what is not.

Motivated by these goals and principles, I was fortunate to be a main contributor in the semi-supervied learning field. Noisy Student and UDA led to paradigm shifts in semi-supervised learnnig and are widely used in the industry. For example, Noisy Student has achieved state-of-the-art results on many tasks including ImageNet, speech recognition and object detection. It has also become an indispensable component in high-performance machine learning systems such as Google Search and AlphaFold 2.

Education

• 2018-2020: Ph.D, Machine Learning Department, Carnegie Mellon University
• 2016-2018: Master, Language Technologies Institute, Carnegie Mellon University
• 2012-2016: B.Eng from ACM Honored Class, Shanghai Jiao Tong University
• 2015/6-2015/7: Exchange student at Cornell University

Experience

• 2018/5-2020/5: Student Researcher at Google Brain, Mountain View
• 2015/7-2016/1: Research intern at Microsoft Research Asia, Beijing
• 2014/7-2016/5: Research Assistant at SpeechLab, Shanghai Jiao Tong University, Shanghai

Papers

(*: equal contribution)

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Last update: Aug 2022

Website adapted from Danqi Chen's website.