PeopleofSuperintelligence

Researcher

Peng Wang

Peng Wang is an AI researcher whose published work spans Alibaba's Qwen models and multimodal systems. They coauthored a table-to-text generation paper in 2021 and OFA, a multimodal pretraining framework, in 2022. In 2023, they coauthored Qwen-VL and Qwen's first technical report, followed by Qwen2-VL, Qwen2.5-VL, Qwen3 and Qwen3-Omni reports through 2025. In March 2026, they coauthored a paper in an author group whose listed affiliations include Qwen Team, Alibaba Group.

Works
64
Citations
1,578
h-index
21

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2021

    Sketch and Refine

    In 2021, they coauthor the ACL paper Sketch and Refine on faithful and informative table-to-text generation.

  2. 2022

    OFA's multimodal framework

    In 2022, they coauthor OFA, a unified framework for multimodal pretraining.

  3. 2023

    Qwen-VL and Qwen

    In 2023, they coauthor Qwen-VL, a series of large vision-language models designed to understand text and images. They also coauthor the Qwen Technical Report, which introduces Qwen as a large language-model series.

  4. 2024

    Qwen2-VL at variable resolution

    In 2024, they coauthor Qwen2-VL, which uses dynamic resolution to process images at different sizes.

  5. February 2025

    Qwen2.5-VL vision-language model

    In February 2025, they coauthor Qwen2.5-VL, whose report describes visual recognition, object localization, document parsing and long-video comprehension.

  6. May 2025

    Qwen3 hybrid reasoning

    In May 2025, they coauthor Qwen3, whose unified framework combines thinking mode for complex reasoning with non-thinking mode for rapid responses.

  7. September 2025

    Qwen3-Omni multimodal model

    In September 2025, they coauthor Qwen3-Omni, a multimodal model that works across text, images, audio and video.

  8. March 2026

    Qwen Team author group

    In March 2026, they coauthor a paper in an author group whose listed affiliations include Qwen Team, Alibaba Group.

Career

  1. 2024–2025Shanghai Maritime University
  2. 2023–2025University of Chinese Academy of Sciences
  3. 2021–2023Southeast University
  4. 2015–2025Chinese Academy of Sciences
  5. 2013–2022PLA Army Engineering University

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Qwen Technical Report2023 · 331 citationsWith Fei Huang and Rui Men
  2. Qwen3 Technical Report2025 · 147 citationsWith Baosong Yang, Chengen Huang, Chenxu Lv, Chujie Zheng, Fei Huang and Haoran Wei
  3. Dynamic responses of buried arch structure subjected to subsurface localized impulsive loading: Experimental study2013 · International Journal of Impact Engineering · 89 citations
  4. Broadband radar absorption and mechanical behaviors of bendable over-expanded honeycomb panels2018 · Composites Science and Technology · 71 citations
  5. Experimental research on blast-resistance of one-way concrete slabs reinforced by BFRP bars under close-in explosion2017 · Engineering Structures · 71 citations

From OpenAlex, as of 21 October 2026.

  1. Universities keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes Chinese Academy of Sciences. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.
  2. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes Chinese Academy of Sciences. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Chinese Academy of Sciences. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes Chinese Academy of Sciences. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Colleagues

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

Sources and credits

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

  1. Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation aclanthology.org. Checked 20 October 2026.
  2. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework proceedings.mlr.press. Checked 20 October 2026.
  3. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond arxiv.org. Checked 20 October 2026.
  4. Qwen Technical Report arxiv.org. Checked 20 October 2026.
  5. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution arxiv.org. Checked 20 October 2026.
  6. Qwen2.5-VL Technical Report arxiv.org. Checked 20 October 2026.
  7. Qwen3 Technical Report arxiv.org. Checked 20 October 2026.
  8. Qwen3-Omni Technical Report arxiv.org. Checked 20 October 2026.
  9. From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning arxiv.org. Checked 20 October 2026.