PeopleofSuperintelligence

Researcher

Fan Zhou

Fan Zhou is a computer science researcher whose work spans language-model training data, test-time scaling, and Qwen models. He completed computer science degrees at Shanghai Jiao Tong University and held research positions at Microsoft and the University of Hong Kong. He coauthored ProX, a framework that uses small language models to refine pretraining data, and a paper on test-time scaling and cognition engineering. In 2025, he coauthored the Qwen3 and Qwen3-Omni technical reports; in 2026, he coauthored a Qwen3-Coder-Next report. Since April 2025, he is a computer science PhD student at Shanghai Jiao Tong University, advised by Pengfei Liu.

Links
X and LinkedIn

Timeline

  1. 2017–2024

    Computer science at SJTU

    At Shanghai Jiao Tong University, he studies computer science, earning an undergraduate degree in 2021 and completing a master’s degree in 2024.

  2. 2021–2022

    Microsoft research internship

    In October 2021, he joins Microsoft as a research intern and leaves in March 2022.

  3. 2023

    Research assistant at HKU

    From April 2023 to December 2023, he works as a research assistant at the University of Hong Kong.

  4. 2025

    ProX for pretraining data

    In 2025, he coauthors Programming Every Example (ProX), a framework that uses small language models to generate programs for refining pretraining examples. The work appears in the Proceedings of the 42nd International Conference on Machine Learning.

  5. 2025

    Test-time scaling and cognition

    In 2025, he coauthors Generative AI Act II, a paper about test-time scaling and cognition engineering in large language models.

  6. 2025

    Qwen3 model reports

    In 2025, he coauthors the Qwen3 Technical Report, which introduces the Qwen3 family of dense and mixture-of-experts language models. He also coauthors Qwen3-Omni, a multimodal model spanning text, images, audio, and video.

  7. 2026

    Qwen3-Coder-Next technical report

    In 2026, he coauthors Qwen3-Coder-Next Technical Report, which presents an open-weight language model specialized for coding agents.

  8. Since April 2025

    PhD study at SJTU

    He works as a research intern at Qwen from June 2025 to February 2026. Since April 2025, he is a computer science PhD student at Shanghai Jiao Tong University, advised by Pengfei Liu, and focuses on foundation models and agentic systems.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

Photo: We have no published photo of Fan Zhou yet. Send us a free-licensed photo.

  1. Fan Zhou | alphaXiv alphaxiv.org. Checked 19 October 2026.
  2. ProX: Lifting Pre-training Data Quality Like Experts gair-nlp.github.io. Checked 19 October 2026.
  3. Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale proceedings.mlr.press. Checked 19 October 2026.
  4. Generative AI Act II: Test Time Scaling Drives Cognition Engineering arxiv.org. Checked 19 October 2026.
  5. Qwen3 Technical Report arxiv.org. Checked 19 October 2026.
  6. Qwen3-Omni Technical Report arxiv.org. Checked 19 October 2026.
  7. Qwen3-Coder-Next Technical Report arxiv.org. Checked 19 October 2026.