PeopleofSuperintelligence

Researcher

Jianxin Yang

Also known as Yang Jianxin, yangjianxin1

Jianxin Yang is a language-model researcher whose work on Qwen includes post-training and distillation. Before joining Qwen, he built NLP algorithm capability for Tencent's product-understanding work from June 2021 to April 2022 and for Shopee's customer-service work from April 2022 to May 2024. His coauthored papers covered the Qwen2.5 and Qwen3 reports, Qwen3-Omni's multimodal design, and Qwen-AgentWorld's language world models for general agents. In June 2026, he coauthored a study that introduces Bebop and reports faster reinforcement-learning training for Qwen models.

Now at
Qwen Team
Works
1
Citations
0
h-index
0

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. June 2021–April 2022

    NLP for product understanding

    From June 2021 to April 2022, he builds NLP algorithm capability for Tencent's product-understanding work.

  2. April 2022–May 2024

    NLP for customer service

    From April 2022 to May 2024, he builds NLP algorithm capability for Shopee's customer-service work.

  3. December 2024

    Qwen2.5 Technical Report

    In December 2024, he coauthors the Qwen2.5 Technical Report, which introduces a comprehensive series of large language models.

  4. May 2025

    Qwen3 Technical Report

    In May 2025, he coauthors the Qwen3 Technical Report, which presents Qwen3 as the latest version of the Qwen model family.

  5. September 2025

    Qwen3-Omni Technical Report

    In September 2025, he coauthors the Qwen3-Omni Technical Report, which presents a single multimodal model for text, image, audio, and video.

  6. June 2026

    Bebop and faster RL training

    In June 2026, he coauthors “Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling.” The paper introduces Bebop and reports up to 1.8x end-to-end acceleration in async RL training of Qwen3.5, Qwen3.6, and Qwen3.7 models.

  7. June 2026

    Qwen-AgentWorld for general agents

    In June 2026, he coauthors Qwen-AgentWorld: Language World Models for General Agents. The work introduces two language world models that simulate agent environments across seven domains through long chain-of-thought reasoning.

  8. Since July 2024

    Qwen post-training and distillation

    Since July 2024, he works on post-training and distillation in the Qwen team.

Career

  1. Since 2024Qwen TeamLanguage-model researcher
  2. 2022–2024Shopee
  3. 2021–2022Tencent

From the biography.

Most-cited works

  1. Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling2026 · 0 citationsWith Fei Huang and Rui Men

From OpenAlex, as of 21 October 2026.

  1. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Alibaba. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  2. Universities (31%) and startups and other companies (25%) employ the largest shares of 2020–2026 entrantsIncludes Alibaba. Among 819 people whose first recorded role started in 2020–2026 and who have a known current organization, 60% work in commercial sectors (25% at startups and other companies, 23% at frontier labs and 13% at big tech, with 9 in two), and 31% work at universities, compared with 66% for earlier entrants.
  3. The top 10 organizations employed 22% of people shaping AI in 2025: 51% of company researchers and 21% of university researchersIncludes Alibaba. We estimate the share of people shaping AI who worked at the top 10 organizations each year from 1955 to 2025, comparing concentration across companies, universities, and institutes and labs.
  4. 16% of AI career moves in the 2020s went from a university to a companyIncludes Alibaba. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.

Colleagues

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

Sources and credits

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

  1. yangjianxin1 (Yang Jianxin) · GitHub github.com. Checked 20 October 2026.
  2. [2412.15115] Qwen2.5 Technical Report arxiv.org. Checked 20 October 2026.
  3. Paper page - Qwen2.5 Technical Report huggingface.co. Checked 20 October 2026.
  4. [2505.09388] Qwen3 Technical Report arxiv.org. Checked 20 October 2026.
  5. [2509.17765] Qwen3-Omni Technical Report arxiv.org. Checked 20 October 2026.
  6. [2606.12370] Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling arxiv.org. Checked 20 October 2026.
  7. [2606.24597] Qwen-AgentWorld: Language World Models for General Agents arxiv.org. Checked 20 October 2026.