PeopleofSuperintelligence

Researcher

Daoqiang Zhang

Also known as 张道强

Daoqiang Zhang researches machine learning and medical image analysis, with work on clustering, dimensionality reduction, and medical image segmentation. He earned computer science degrees at Nanjing University of Aeronautics and Astronautics and joined its Department of Computer Science and Engineering as a lecturer in 2004. His work includes a kernelised fuzzy C-means method for medical image segmentation and a semi-supervised dimensionality reduction method. IAPR named him a Fellow in 2020 for contributions to fuzzy clustering, dimensionality reduction, and medical image analysis. As of October 2026, he is a professor and dean of NUAA's School of Artificial Intelligence and directs its Ministry of Education Key Laboratory of Brain-Machine Intelligence Technology.

Works
618
Citations
19,954
h-index
68
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1999–2004

    Degrees at NUAA

    He earns a B.S. in computer science in 1999 and completes a Ph.D. in 2004 at Nanjing University of Aeronautics and Astronautics.

  2. 2004–2006

    Lecturer and Nanjing postdoc

    He joins NUAA's Department of Computer Science and Engineering as a lecturer in 2004. From 2004 to 2006, he works as a postdoctoral fellow in the LAMDA group at Nanjing University's Department of Computer Science and Technology.

  3. 2004

    Fuzzy C-means for medical images

    With Songcan Chen, he publishes a kernelised fuzzy C-means algorithm for medical image segmentation in 2004.

  4. 2007

    Semi-supervised dimensionality reduction

    With Zhi-Hua Zhou and Songcan Chen, he presents SSDR, a method that uses unlabeled data and pairwise constraints for dimensionality reduction in 2007.

  5. 2020

    An IAPR fellowship

    IAPR names him a Fellow in 2020 for contributions to fuzzy clustering, dimensionality reduction, and medical image analysis.

  6. As of October 2026

    Dean of NUAA's AI school

    His research spans machine learning and medical image analysis. He is a professor and dean of NUAA's School of Artificial Intelligence and directs its Ministry of Education Key Laboratory of Brain-Machine Intelligence Technology. He also serves as vice chair of the IEEE Computer Society Nanjing Chapter and as an editor for IEEE Transactions on Medical Imaging and Pattern Recognition.

Career

  1. Since 2004Nanjing University of Aeronautics and AstronauticsLecturer
  2. 2022–2024Ministry of Industry and Information Technology
  3. 2011–2015University of North Carolina at Chapel Hill
  4. 2004–2006Nanjing UniversityPostdoctoral Fellow

Education

  1. 2004Nanjing University of Aeronautics and AstronauticsPh.D.
  2. 1999Nanjing University of Aeronautics and AstronauticsB.S. in Computer Science

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

Most-cited works

  1. Multimodal classification of Alzheimer's disease and mild cognitive impairment2011 · NeuroImage · 1,316 citationsWith Dinggang Shen
  2. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation2006 · Pattern Recognition · 1,089 citations
  3. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease2011 · NeuroImage · 689 citationsWith Dinggang Shen
  4. : Two-directional two-dimensional PCA for efficient face representation and recognition2005 · Neurocomputing · 617 citations
  5. A novel kernelized fuzzy C-means algorithm with application in medical image segmentation2004 · Artificial Intelligence in Medicine · 544 citations

From OpenAlex, as of 19 October 2026.

  1. The company share of AI researchers’ top papers rose from 2% to 32%Includes Nanjing University of Aeronautics and Astronautics. 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.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of North Carolina at Chapel Hill. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  3. Google has the highest combined h-index among AI organizationsIncludes University of North Carolina at Chapel Hill. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  4. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other universityIncludes University of North Carolina at Chapel Hill. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.

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 Daoqiang Zhang yet. Send us a free-licensed photo.

  1. Welcome to Daoqiang Zhang's Homepage parnec.nuaa.edu.cn. Checked 19 October 2026.
  2. DaoqiangZhang parnec.nuaa.edu.cn. Checked 19 October 2026.
  3. SSDR - LAMDA lamda.nju.edu.cn. Checked 19 October 2026.
  4. 南京航空航天大学主页平台管理系统 Zhang Daoqiang--Home--Home faculty.nuaa.edu.cn. Checked 19 October 2026.
  5. Alphabetical List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 19 October 2026.
  6. [Call for Participants] CSIG Youth Scientist Conference 2025 Forum hkustsmartlab.github.io. Checked 19 October 2026.