Yi Zhou (周奕)

Research Scientist at ByteDance Seed

About Me

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I am currently working on Large Language Models at ByteDance Seed, with a focus on scaling, optimization, and post-training.

My previous work also spans AI for Science. I established the cryo-EM research team at ByteDance, where our first work, CryoSTAR, was accepted by Nature Methods. I led the development of SeedFold, the first model to outperform AlphaFold3.

I received my Master's degree from Fudan NLP (2021) under Prof. Xiaoqing Zheng. I visited UCLA in 2020, where I worked with Prof. Cho-Jui Hsieh and Prof. Kaiwei Chang on model security. Since joining ByteDance in 2021, I have worked with Prof. Hao Zhou on machine translation and Prof. Quanquan Gu on AI for Science.

Email: zhouyi.naive[-]bytedance[-]com / dugu9sword[-]gmail[-]com / yizhou17[-]fudan[-]edu[-]cn

Feel free to reach out if you would like to chat about AI for Science and LLM, or just grab coffee. My WeChat can be inferred from the email above.

Selected Research

(A full list can be found on Google Scholar.)

AI for Science

NLP

  • Deep Equilibrium Non-Autoregressive Sequence Learning (ACL-Findings, 2023)
  • The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21 (EMNLP-WMT, 2021)
  • Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble (ACL, 2021)
  • Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples (ACL, 2020)

Talks

Academic Services