PeopleofSuperintelligence

Researcher

An Yang

As of October 2026, An Yang is a researcher at Alibaba Group whose work spans language models and multimodal systems. He studied as an MSc student at Peking University from 2017 to 2020. In 2022, he coauthored OFA, a multimodal sequence-to-sequence framework, then coauthored reports for Qwen in 2023, Qwen2 in 2024, and Qwen3 in 2025. In August 2026, he coauthored Qwen-CUA, a computer-use agent that operates software through screenshots, keyboard and mouse events.

Now at
Alibaba
Works
17
Badges

Publication numbers from OpenAlex, as of 18 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2017–2020

    Graduate study and Alibaba research

    From 2017 to 2020, he studies as an MSc student at Peking University and joins Alibaba Group as a researcher in 2020.

  2. 2022

    OFA's multimodal framework

    In 2022, he coauthors OFA, a sequence-to-sequence framework that unifies cross-modal and unimodal tasks.

  3. 2023

    The first Qwen report

    In 2023, he coauthors the Qwen Technical Report, which introduces Qwen as a family of large language models.

  4. 2024

    Qwen2 model family

    In 2024, he coauthors the Qwen2 Technical Report, describing language and multimodal models from 0.5 to 72 billion parameters.

  5. 2025

    Introducing Qwen3

    In 2025, he coauthors the Qwen3 Technical Report, covering dense and mixture-of-experts models from 0.6 to 235 billion parameters.

  6. Since 2020

    Alibaba research and Qwen-CUA

    Since 2020, he works as a researcher at Alibaba Group on language models and multimodal systems. In August 2026, he coauthors Qwen-CUA, a computer-use agent with a Qwen mixture-of-experts backbone that observes screenshots and acts through keyboard and mouse events.

Career

  1. Since 2020AlibabaResearcher

Education

  1. 2020Peking UniversityMSc

From the biography.

  1. Google alumni founded or led 82 other organizations, the most among the labs we compareIncludes Alibaba. We trace 189 organizations founded or led by AI lab alumni, and 196 career moves between the labs.
  2. The company share of AI researchers’ top papers rose from 3% to 32%Includes Alibaba. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 3% in 1975–1979 to 32% in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes Alibaba. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Peking University. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. An Yang | alphaXiv alphaxiv.org. Checked 18 October 2026.
  2. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework proceedings.mlr.press. Checked 18 October 2026.
  3. Qwen Technical Report arxiv.org. Checked 18 October 2026.
  4. Qwen2 Technical Report arxiv.org. Checked 18 October 2026.
  5. Qwen3 Technical Report arxiv.org. Checked 18 October 2026.
  6. Qwen-CUA: Native Computer Use for (almost) Everything arxiv.org. Checked 18 October 2026.