PeopleofSuperintelligence

Researcher

Yuqi Wang

Also known as Wang Yuqi

Yuqi Wang is a researcher who works on multimodal and tabular language models at Reka AI and the University of Hong Kong. After studying software engineering at Tongji University until 2022, he completed a master's in computer science at the University of Hong Kong in 2024 under Qi Liu. He joined Reka AI as an intern in June 2023 and worked there full-time from July 2024 to August 2025, and in 2024 he coauthored the Reka Core, Flash, and Edge report and the Vibe-Eval benchmark. UniTabE, a pretrained tabular encoder from 2023, and Multimodal ArXiv, a dataset of scientific figures from 2024, are among his other papers. Since 2025, he is a PhD student in computer and data science at the University of Hong Kong and works part-time at Reka AI.

Now at
Reka AI
Badges

Timeline

  1. 2018–2022

    Software engineering at Tongji

    He studies software engineering at Tongji University and earns a Bachelor of Engineering in 2022.

  2. 2022–2024

    Master's at HKU under Qi Liu

    He completes a master's in computer science at the University of Hong Kong from 2022 to 2024, with distinction, advised by Qi Liu, an assistant professor in HKU's Department of Computer Science and a co-founder of Reka. His dissertation is titled Solve Mathematical Problems in Textual Image.

  3. June 2023–August 2025

    From Reka intern to full-time

    He joins Reka AI as an intern in June 2023 and works there full-time from July 2024 to August 2025. Reka is a company committed to the development of large foundation models.

  4. July 2023

    The UniTabE tabular encoder

    In July 2023, he coauthors UniTabE with Yazheng Yang, Guang Liu, Ledell Wu and Qi Liu. The method represents each table element with a module called TabUnit, followed by a Transformer encoder, and is pretrained on about 13B table samples collected from Kaggle; the paper appears at ICLR 2024.

  5. March 2024

    The Multimodal ArXiv dataset

    In March 2024, he coauthors Multimodal ArXiv with six others, including Lei Li and Qi Liu. The dataset pairs ArXivCap, with 6.4M images and 3.9M captions from 572K ArXiv papers, with ArXivQA, which brings a 10.4% absolute accuracy gain on a multimodal mathematical reasoning benchmark; the paper appears at ACL 2024 in Bangkok.

  6. April 2024

    Reka Core, Flash, and Edge

    In April 2024, he is among the authors of Reka's technical report on Reka Core, Flash, and Edge, multimodal language models trained from scratch that process text, images, video, and audio. On multimodal chat, Core ranks as the second most preferred model in a blind third-party human evaluation.

  7. May 2024

    The Vibe-Eval benchmark

    In May 2024, he coauthors Vibe-Eval, an open benchmark of 269 visual understanding prompts, 100 of them hard, for evaluating multimodal chat models. Automatic evaluation with Reka Core roughly correlates with human judgment.

  8. Since 2025

    PhD at HKU, part-time at Reka

    In September 2025, he starts a PhD in computer and data science at the University of Hong Kong and moves to part-time work at Reka AI.

Career

  1. Since 2023Reka AIIntern, Full-time employee

Education

  1. From 2025University of Hong KongPhD
  2. 2024University of Hong KongMaster's in computer science
  3. 2022Tongji UniversityBachelor of Engineering

From the biography.

  1. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Reka AI. 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. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Reka AI. 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.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Reka AI. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Reka AI. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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

  1. Resume | Wang Yuqi's Blog bugggggggg.github.io. Checked 21 October 2026.
  2. Qi Liu's Homepage leuchine.github.io. Checked 21 October 2026.
  3. UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science arxiv.org. Checked 21 October 2026.
  4. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models arxiv.org. Checked 21 October 2026.
  5. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models - ACL Anthology aclanthology.org. Checked 21 October 2026.
  6. Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models arxiv.org. Checked 21 October 2026.
  7. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models arxiv.org. Checked 21 October 2026.