PeopleofSuperintelligence

Researcher

Baochang Zhang

Also known as Baochang Zheng

Baochang Zhang is a computer-vision researcher whose work includes Gabor-based object recognition and binary neural networks. He earned computer science degrees at Harbin Institute of Technology in 1999, 2001, and 2006, and held research posts in Hong Kong, Australia, and Italy. His research includes Gabor convolutional networks and binarized neural architecture search for compressed models on edge devices. In 2026, he was named an IAPR Fellow, and his modulated binary network was deployed in mass production for the XiaoYi XiaoYi wake-up service. As of October 2026, he is a professor and doctoral supervisor at Beihang University's School of Artificial Intelligence.

Works
491
Citations
16,476
h-index
52
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1999–2006

    Computer science degrees

    He earns B.S., M.S., and Ph.D. degrees in computer science from Harbin Institute of Technology in 1999, 2001, and 2006.

  2. 2006–2008

    Research fellowships abroad

    In 2006–2007, he researches face recognition at The Chinese University of Hong Kong and serves as a postdoctoral fellow in its Multimedia Lab. From 2007 to 2008, he is a Griffith fellow focused on feature learning.

  3. 2011–2015

    Visiting and postdoctoral research

    At Hong Kong Polytechnic University in 2011, he is a visiting fellow studying infrared face recognition. From 2014 to 2015, he is a senior postdoctoral fellow in PAVIS at the Italian Institute of Technology, focused on machine learning.

  4. 2018

    Gabor convolutional networks

    In 2018, he coauthors Gabor Convolutional Networks, which incorporates Gabor filters into deep convolutional networks to strengthen feature robustness to scale and orientation changes while reducing network parameters and training complexity.

  5. 2020

    Binarized architecture search

    In 2020, he coauthors Binarized Neural Architecture Search for Efficient Object Recognition, which uses binarized convolutions to search for compressed models with lower computational cost on embedded devices.

  6. 2026

    An IAPR fellowship

    In 2026, IAPR names him a Fellow for contributions to efficient representation learning for object recognition and service to the association.

  7. By 2026

    A binary network in production

    By 2026, his modulated binary network is deployed in mass production for the XiaoYi XiaoYi wake-up service.

  8. As of October 2026

    Professor at Beihang

    As of October 2026, he is a professor and doctoral supervisor at Beihang University's School of Artificial Intelligence. His research focuses on efficient machine learning, computer vision, and ultra-low-bit neural network processors.

Career

  1. Since 2008Beihang UniversityProfessor and doctoral supervisor
  2. 2021–2025Jiangxi University of Water Resources and Electric Power
  3. 2021–2025Nanchang Institute of Technology
  4. 2021–2026Technical University of Munich
  5. 2020–2023Baidu
  6. 2019–2022Chinese Academy of Sciences
  7. 2018–2022Shenzhen Academy of Aerospace Technology
  8. 2014–2015Italian Institute of TechnologySenior Postdoctoral Fellow
  9. 2011Hong Kong Polytechnic UniversityVisiting Fellow
  10. 2007–2008Griffith UniversityGriffith Fellow
  11. 2006–2007Chinese University of Hong KongPostdoctoral Fellow

Education

  1. 2006Harbin Institute of TechnologyB.S., M.S., Ph.D.

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

Most-cited works

  1. 10. Reinforcement learning2020 · De Gruyter eBooks · 1,929 citations
  2. Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor2009 · IEEE Transactions on Image Processing · 1,025 citations
  3. HRank: Filter Pruning Using High-Rank Feature Map2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 918 citationsWith Ling Shao and Rongrong Ji
  4. Towards Optimal Structured CNN Pruning via Generative Adversarial Learning2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 586 citationsWith David Doermann and Rongrong Ji
  5. Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition2006 · IEEE Transactions on Image Processing · 580 citations

From OpenAlex, as of 18 October 2026.

  1. The company share of AI researchers’ top papers rose from 3% to 32%Includes Beihang University. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 3% in 1975–1979 to 32% in 2020–2024.
  2. Stanford University trained or employed 27 of the 111 AI major-prize winners, more than any other universityIncludes Beihang University. Stanford University trained or employed 27 of the 111 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.
  3. Google alumni founded or led 82 other organizations, the most among the labs we compareIncludes Baidu. We trace 189 organizations founded or led by AI lab alumni, and 196 career moves between the labs.
  4. Google has the highest combined h-index among AI organizationsIncludes Chinese University of Hong Kong. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

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

Sources and credits

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

  1. 2025 8th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2025) aemcse.org. Checked 18 October 2026.
  2. Multimedia Laboratory mmlab.ie.cuhk.edu.hk. Checked 18 October 2026.
  3. 北京航空航天大学主页平台系统 zhang baochang--英文主页-- teacher.buaa.edu.cn. Checked 18 October 2026.
  4. Gabor Convolutional Networks research.aber.ac.uk. Checked 18 October 2026.
  5. [2009.04247] Binarized Neural Architecture Search for Efficient Object Recognition arxiv.org. Checked 18 October 2026.
  6. Two Beihang professors elected 2026 IAPR Fellow-Beihang University ev.buaa.edu.cn. Checked 18 October 2026.
  7. bczhangbczhang (Baochang Zhang) · GitHub github.com. Checked 18 October 2026.