PeopleofSuperintelligence

Researcher

Yong Xu

Also known as Yong Dong Xu, Xu Yong, 徐勇

Yong Xu is a computer vision researcher at Harbin Institute of Technology (Shenzhen) whose work spans face recognition, multiview clustering, and visual large models. He earned bachelor's and master's degrees at the Air Force Institute of Meteorology in 1994 and 1997 and completed a PhD in pattern recognition and intelligent systems at Nanjing University of Science and Technology in 2004. After teaching at the People's Liberation Army University of Science and Technology, he joined HIT Shenzhen as a postdoctoral fellow and faculty member, where he coauthored face-recognition methods and incomplete multiview clustering research. He received the Ministry of Education's New Century Excellent Talents in University distinction in 2008, served as a co-chair at ICICML 2024, and gave a 2025 keynote on retinopathy diagnosis. In 2026, he chairs the program committee for the Asian Conference on Artificial Intelligence Technology and is an IEEE Senior Member affiliated with HIT Shenzhen.

Works
723
Citations
25,815
h-index
85
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1990–2004

    Meteorology and a doctorate

    He earns a bachelor's degree at the Air Force Institute of Meteorology in 1994 and a master's degree there in 1997. He completes a PhD in pattern recognition and intelligent systems at Nanjing University of Science and Technology in 2004.

  2. 1997–2007

    Lecturer and postdoc roles

    He works as an assistant and lecturer at the People's Liberation Army University of Science and Technology from 1997 to 2005. He joins the Shenzhen Graduate School of Harbin Institute of Technology as a postdoctoral fellow in 2005 and takes a faculty post there in 2007.

  3. 2008

    New Century talent award

    In 2008, he receives the Ministry of Education's New Century Excellent Talents in University distinction.

  4. 2009–2013

    Face recognition methods

    In 2009, he coauthors an improved two-dimensional locality-preserving projection method for face recognition. In 2011, he coauthors a local linear discriminant analysis framework using sample neighbors, and a 2012 paper applies quaternion-based discriminant analysis to color face recognition. He coauthors a sparse-representation method for coarse-to-fine face recognition in 2013.

  5. 2020

    Multiview clustering with adaptive graphs

    With Jie Wen and Hong Liu, he coauthors “Incomplete Multiview Spectral Clustering with Adaptive Graph Learning,” published in IEEE Transactions on Cybernetics in 2020.

  6. 2024

    A Changjiang Scholar role

    He co-chairs the 2024 International Conference on Image Processing, Computer Vision and Machine Learning and holds the title of Changjiang Scholar Distinguished Professor at Harbin Institute of Technology (Shenzhen).

  7. 2025

    A retinopathy keynote

    At the 2025 AIPT conference, he gives a keynote titled “Automatic Diagnosis of Retinopathy” as a professor at Harbin Institute of Technology (Shenzhen). He is a doctoral supervisor and directs the Shenzhen Key Laboratory for Visual Target Detection and Recognition; his research includes pattern recognition, computer vision, and visual large models.

  8. 2026

    Chairing an AI conference program

    In 2026, he chairs the program committee for the Asian Conference on Artificial Intelligence Technology and is affiliated with Harbin Institute of Technology (Shenzhen). He is an IEEE Senior Member.

Career

  1. Since 2005Harbin Institute of TechnologyPostdoctoral Fellow, Professor
  2. 2021–2025National University of Singapore
  3. 2019–2023Guizhou University
  4. 2019–2026Peng Cheng Laboratory
  5. 2018–2022Microsoft Research Asia
  6. 2018–2024Microsoft
  7. 2009–2026South China University of Technology
  8. 2007–2013Hebei University of Technology
  9. 2005–2009Kyoto University
  10. 1997–2005People's Liberation Army University of Science and TechnologyAssistant and Lecturer
  11. Shenzhen Key Laboratory for Visual Target Detection and RecognitionDirector

Education

  1. 2004Nanjing University of Science and TechnologyPhD
  2. 1997Air Force Institute of MeteorologyMaster's degree
  3. 1994Air Force Institute of MeteorologyBachelor's degree

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

  1. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Microsoft. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Harbin Institute of Technology. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Harbin Institute of Technology. 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 Harbin Institute of Technology. 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

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  1. 徐勇-哈尔滨工业大学（深圳）计算机科学与技术学院 csen.hitsz.edu.cn. Checked 20 October 2026.
  2. Quaternion-Based Discriminant Analysis Method for Color Face Recognition | PLOS One journals.plos.org. Checked 20 October 2026.
  3. GitHub - ckghostwj/Incomplete-Multiview-Spectral-Clustering-with-Adaptive-Graph-Learning: Code for Incomplete Multiview Spectral Clustering with Adaptive Graph Learning github.com. Checked 20 October 2026.
  4. Announcement of the 3rd International Conference on Image Processing, Computer Vision and Machine Learning (ICICML 2024)-SCHOOL OF ARTIFICIAL INTELLIGENCE, SHENZHEN UNIVERSITY ai.szu.edu.cn. Checked 20 October 2026.
  5. 2027 4th International Conference on Advanced Image Processing Technology (AIPT 2027) icaipt.org. Checked 20 October 2026.
  6. 2027 4th International Conference on Advanced Image Processing Technology (AIPT 2027) icaipt.org. Checked 20 October 2026.
  7. Organizing Committee - IAECST 2026 iaecst.org. Checked 20 October 2026.
  8. Program Committee 2026.acaitconf.com. Checked 20 October 2026.