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About

I am Qizhe Xie, an Assistant Professor at National University of Singapore (NUS). I spent 2016-2020 at Carnegie Mellon University (CMU), receiving my Masters' and PhD from LTI and MLD respectively. My advisor was Eduard Hovy. I worked with Quoc Le and Thang Luong at Google Brain (now Google DeepMind) from 2018 to 2020 as a student researcher. I studied at ACM Class of Shanghai Jiao Tong University before attending CMU.

My Chinese name 谢其哲 is pronounced somewhat similar to shye-chi-tzeuh. I would not mind if you try to pronounce it but could not do it accurately. I published papers under Michael Qizhe Shieh for easier pronunciation for non-Mandarin speakers. I prefer using Qizhe Xie now.

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Research & Recruitment

Research Directions: We work on LLM research including architecture, evaluation and training objectives. Recently, we have developed an interest in local AI models, which define their own goals and learn from rich experiences.

Research Philosophy: I generally don't encourage my students to publish many papers. I think every thoughtful work takes time and we are comfortable spending time not doing papers than doing papers. Of course, every PhD student has to submit and publish papers to practice their skills and get feedback from the community. So we still publish a reasonable number of papers in the end.

Prospective Students: Thank you for your interests! Feel free to drop me an email if you want to work together. I may not be able to reply to your emails due to existing work commitments and intellectual explorations. Please don't be discouraged if you don't hear back from me. I generally prefer long periods of collaborations and only work with visiting researchers very sparsely. The best way for us to work together is to join the PhD program at School of Computing. The admission is handled by a committee and I have little control over the admission.

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Selected Papers

*: equal contribution, †: equal advising

I only listed a few of my published papers. Check out the full list of my papers on Google Scholar.

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Review Service

• Reviewer: NeurIPS, ICLR, ACL, EMNLP, JMLR, etc.
• Area Chair: NeurIPS, ICLR, ICML.