PeopleofSuperintelligence

Researcher

Chang Gao

Also known as 高畅

Chang Gao is a researcher at Alibaba's Qwen Team and a coauthor of work on its language models. He studied at Harbin Institute of Technology and completed a PhD in the CUHK Text Mining Group under Wai Lam. During his doctorate, he held internships at Alibaba, Tencent, the Shanghai AI Laboratory, and Z.ai, and coauthored M3Exam and StrategyLLM. His 2025 work included SWE-Fixer, JsonTuning, the Qwen3 report, GSPO, and the Qwen3-VL report. In August 2026, the Qwen-CUA report listed him among its core contributors.

Now at
Alibaba
Works
1
Citations
23
h-index
1
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2014–2018

    Undergraduate at Harbin Institute

    He studies as an undergraduate at Harbin Institute of Technology in Weihai from 2014 to 2018.

  2. 2018–2020

    Master's at Harbin Institute

    At Harbin Institute of Technology, he earns a master’s degree in Harbin from 2018 to 2020.

  3. 2020–2025

    PhD and research internships

    From 2020 to 2025, he completes a PhD at The Chinese University of Hong Kong in the CUHK Text Mining Group under Professor Wai Lam. He also holds research internships at Alibaba Group in Singapore, Tencent in Shenzhen, the Shanghai AI Laboratory, and Z.ai, spanning October 2022 to January 2025.

  4. 2023–2024

    M3Exam and StrategyLLM

    In 2023, he coauthors M3Exam, a benchmark built from official human exam questions to evaluate large language models across languages, modalities, and education levels. At NeurIPS 2024, he coauthors StrategyLLM, a framework with four language-model agents that generate, evaluate, and select task strategies.

  5. 2025

    SWE-Fixer and JsonTuning

    For ACL 2025 Findings, he coauthors SWE-Fixer, an open-source framework for resolving GitHub issues. He also coauthors JsonTuning, which uses JSON structures to represent instruction-tuning tasks.

  6. 2025

    Qwen3, GSPO and Qwen3-VL

    In May 2025, he coauthors the Qwen3 technical report. In July 2025, he coauthors GSPO, a sequence-level reinforcement-learning method whose authors link it to improvements in Qwen3 models. In November 2025, he coauthors the Qwen3-VL report, which describes a vision-language model that integrates text, images, and video.

  7. Since April 2025

    Researcher on Alibaba's Qwen Team

    He is a researcher at Alibaba's Qwen Team. In August 2026, the Qwen-CUA report lists him among its core contributors.

Career

  1. Since 2022AlibabaResearch Intern, Researcher
  2. 2022–2025TencentResearch Intern
  3. 2022–2025Shanghai Artificial Intelligence LaboratoryResearch Intern
  4. 2022–2025Zhipu AIResearch Intern

Education

  1. 2025Chinese University of Hong KongPhD
  2. 2020Harbin Institute of TechnologyMaster’s degree
  3. 2018Harbin Institute of TechnologyUndergraduate

From the biography.

Most-cited works

  1. Qwen3-VL Technical Report2025 · 26 citationsWith Binyuan Hui, Fei Huang and Rui Men

From OpenAlex, as of 19 October 2026.

  1. Google alumni founded or led 81 other organizations, the most among the labs we compareIncludes Alibaba. We trace 194 organizations founded or led by AI lab alumni, and 202 career moves between the labs.
  2. The company share of AI researchers’ top papers rose from 2% to 32%Includes Alibaba. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% 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. 4 of the 25 people with the most-cited recent papers also lead on career citationsIncludes Shanghai Artificial Intelligence Laboratory. We compare citations to 2023–2025 papers with career citations and h-index, after correcting reviewed publication-date errors: who leads, when they started and where they work.

Colleagues

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

Sources and credits

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

  1. Chang Gao (高畅) - Homepage gao-xiao-bai.github.io. Checked 19 October 2026.
  2. Chang Gao | alphaXiv alphaxiv.org. Checked 19 October 2026.
  3. M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models proceedings.neurips.cc. Checked 19 October 2026.
  4. StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving arxiv.org. Checked 19 October 2026.
  5. SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution aclanthology.org. Checked 19 October 2026.
  6. JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning aclanthology.org. Checked 19 October 2026.
  7. Qwen3 Technical Report arxiv.org. Checked 19 October 2026.
  8. Group Sequence Policy Optimization arxiv.org. Checked 19 October 2026.
  9. Qwen3-VL Technical Report arxiv.org. Checked 19 October 2026.
  10. Qwen-CUA: Native Computer Use for (almost) Everything arxiv.org. Checked 19 October 2026.