About Me

I am a final year Ph.D. candidate at School of Information, University of Michigan, Ann Arbor. My advisor is Prof. Qiaozhu Mei. Prior to UMich, I got my Bachelor’s degree at Tsinghua University, advised by Prof. Jie Tang.

I’m generally interested in understanding and improving machine learning for complex real-world data (e.g., graphs, rankings, partially observed data), under different contexts (e.g., distribution shift), in terms of various metrics (e.g., accuracy, efficiency, robustness, fairness). I’m particularly interested in research problems motivated by human-related applications. Some “buzzwords” that my existing research is relevant to include graph machine learning, trustworthy machine learning, multi-task learning, and recommender systems.

Please check my Google Scholar and Github. Contact: Email and Twitter.

Pronunciation of my first name: Jia-Chi.

News


Selected Papers

Conference Publications

Journal Publications

(* Equal Contribution)

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Work Experience

Jun. 2019 - Aug. 2019

Research Intern, Google Brain. Google Inc., Mountain View, CA, USA.

May 2018 - Aug. 2018

Research Intern, Google Brain. Google Inc., Mountain View, CA, USA.

May 2017 - Sep. 2017

Research Intern, Research & Machine Intelligence. Google Inc., Mountain View, CA, USA.

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