ZHEN QIN ()

Ph.D. in Computer Science
Senior Staff Machine Learning Engineer, Spotify
New York City, New York

Email: zqin001@cs.ucr.edu or {firstname+}q@spotify.com



What's NEW

Started building Large Personalization Models at Spotify, drop me a line if you are curious to learn more.

One paper accepted to ICTIR 2026 and won best paper award.

One paper accepted to NeurIPS 2025.

One paper accepted to ICML 2025.

Two papers accepted to SIGIR 2025.

Three papers accepted to ICLR 2025.

One paper accepted to NAACL 2025.

Two papers accepted to EMNLP 2024.

One paper accepted to KDD 2024.

Three papers accepted to ACL 2024.

Two papers accepted to NAACL 2024.

One paper accepted to SIGIR 2024.

Bio

HI! My name is Zhen Qin. I am a Senior Staff Machine Learning Engineer at Spotify Personalization Unit at New York, working on Large Language Model and its applications. My Linkedin is here.

I received my PhD degree in Computer Science from University of California, Riverside, under the supervision of Dr.Christian Shelton. I obtained my Bachelor's degree in Information Engineering at Beijing University of Posts and Telecommunications (BUPT).

Education

Work Experience

Research

My general research interests lie in machine learning and optimization methods. Recently I've been focusing on large language models.

I served as a (Senior) PC member for ICML, ICLR, NeurIPS, KDD, SIGIR, WWW, WSDM, ACL, CIKM, AAAI. I am a reviewer for Transactions on Machine Learning Research (TMLR), IEEE Transactions on Image Processing (TIP), IEEE Transanctions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (CSVT), IET Computer Vision Journal, Computer Vision and Image Understanding (CVIU), Image and Vision Computing (IVC), Knowledge and Information Systems (KAIS), and International Conference on Image Processing (ICIP). I was an external reviewer for ICDM, SDM.

Publications (My Google Scholar profile is up-to-date.)

Misc

My hometown, Jinan.
How to pronounce Chinese names

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