About Me

I'm a Research Scientist at Google DeepMind. Prior to that, I've been a Member of Technical Staff at Character.AI, and a Senior Researcher in AI Cognitive Services Research group at Microsoft. I work on machine learning, including interactive machine learning, preference learning, natural language processing, multimodal learning, and deep learning.

Previously, I obtained my PhD degree from Machine Learning Departmant at Carnegie Mellon University. I was forturnate to be advised by Artur Dubrawski and Aarti Singh.

I got a Bachelor in Computer Science degree from Yaoclass, Tsinghua University. I've also interned at Microsoft Research (Redmond and Asia) working on deep learning and computer vision. Previously I also do research on game theory.

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EXPERIENCES

RESEARCH INTERESTS

Interactive Machine Learning

I'm interested in improving the learning process by using diverse forms of feedback between human and computer. Rather than the simple sample-label model, I study other meaningful feedbacks (e.g., pairwise comparison), and how they affect the cost of learning and decision making problems.

Deep Learning & Natural Language Processing

I'm also interested in deep learning. I working on natural language understanding problems, such as QA and machine comprehension. I also used to work on computer vision and deep learning.

2015.8 - 2020.8

PhD Student, Machine Learning Deparment, Carnegie Mellon University

Advisors: Artur Dubrawski and Aarti Singh

2013.10 - 2015.2

Research Intern, MSR Asia

Mentors: Jiaxing Zhang

Also guided by Zheng Zhang, Kuiyuan Yang and Thomas Moscibroda

2011.9 - 2015.7

Undergraduate Student, IIIS, Tsinghua University

B.E in Computer Science

Advisor: Pingzhong Tang

2019.6 - 2019.8