PeopleofSuperintelligence

Researcher

Qingshan Liu

Also known as Liu Qingshan, 刘青山

Qingshan Liu is a computer vision researcher whose work spans image and video analysis, remote sensing, and machine learning. He earned Auto-Control degrees at Chinese Textile University and Southeast University before completing a doctorate in pattern recognition at CAS's National Laboratory of Pattern Recognition in 2003. His career took him through CAS, CUHK, and Rutgers before he joined NUIST as professor and dean. He coauthored papers on facial landmark localization and unsupervised video object segmentation, and IAPR named him a Fellow in 2024 for contributions to computer vision and pattern recognition. He is a Vice President at NJUPT and attended the university's December 2025 closing ceremony for a joint program with Sinopec Nanjing Engineering Corporation.

Works
361
Citations
13,460
h-index
56
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1997–2000

    Automation degrees in Shanghai and Nanjing

    In July 1997, he earns a B.Sc. in Auto-Control at Chinese Textile University, now Dong-Hua University, in Shanghai. In March 2000, he earns an M.Sc. in Auto-Control in the Department of Automation at Southeast University.

  2. 2000–2003

    A doctorate in pattern recognition

    At CAS's National Laboratory of Pattern Recognition, he completes a Ph.D. in Pattern Recognition and Intelligence System in April 2003 under Professor Songde Ma.

  3. 2003–2011

    Research at CAS, CUHK and Rutgers

    He works at CAS's National Laboratory of Pattern Recognition from April 2003 to November 2008. In 2004–2005, he serves as an associate researcher at the Multimedia Laboratory of The Chinese University of Hong Kong; from April 2006 to August 2011, he works in Rutgers University's Computer Science Department with Professor Metaxas.

  4. 2011

    Professor and dean at NUIST

    In September 2011, he joins NUIST as Professor and Dean of its School of Computer Science. His research includes image and video analysis, remote sensing image analysis, and machine learning.

  5. 2017

    The Stacked Hourglass Network

    In 2017, he coauthors Stacked Hourglass Network for Robust Facial Landmark Localisation. The network uses a supervised face transformation to reduce translation, scale, and rotation variation, then applies a deep convolutional model for landmark regression.

  6. 2021

    Unsupervised video segmentation

    In 2021, he coauthors Deep Transport Network for Unsupervised Video Object Segmentation at ICCV. It uses optimal structural matching to align RGB and optical-flow features while suppressing distracting signals.

  7. 2024

    An IAPR fellowship

    He becomes an IAPR Fellow in 2024 for contributions to computer vision and pattern recognition.

  8. Since May 2023

    Vice President at NJUPT

    In May 2023, he joins NJUPT's Standing CPC Council as Vice President. In December 2025, he attends the university's joint-program closing ceremony with Sinopec Nanjing Engineering Corporation as Vice President. He remains NJUPT's Vice President in 2026.

Career

  1. 2023–2026Nanjing University of Posts and TelecommunicationsVice President
  2. 2022–2025Shanxi Agricultural University
  3. 2020–2025Xi'an Jiaotong University
  4. 2011–2025Nanjing University of Information Science and TechnologyProfessor and Dean
  5. 2009–2025Southeast University
  6. 2006–2011Rutgers University
  7. 2004–2005Chinese University of Hong KongAssociate researcher
  8. 2003–2008Chinese Academy of Sciences

Education

  1. 2003Chinese Academy of SciencesPh.D.
  2. 2000Southeast UniversityM.Sc.
  3. 1997Donghua UniversityB.Sc.

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

Most-cited works

  1. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images2015 · IEEE Transactions on Medical Imaging · 851 citationsWith Anant Madabhushi
  2. Fast Visual Tracking via Dense Spatio-temporal Context Learning2014 · Lecture notes in computer science · 679 citationsWith Ming-Hsuan Yang
  3. Classification of Hyperspectral and LiDAR Data Using Coupled CNNs2020 · IEEE Transactions on Geoscience and Remote Sensing · 466 citations
  4. Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild2021 · IEEE Transactions on Image Processing · 378 citations
  5. Robust Visual Tracking via Convolutional Networks without Training2016 · IEEE Transactions on Image Processing · 344 citationsWith Ming-Hsuan Yang

From OpenAlex, as of 21 October 2026.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Nanjing University of Posts and Telecommunications. 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.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Nanjing University of Posts and Telecommunications. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. 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.
  4. 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.

Colleagues

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

Sources and credits

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  1. Qingshan Liu | Personal Homepage faculty.nuist.edu.cn. Checked 22 October 2026.
  2. Welcome to Qingshan Liu's Homepage nlpr.ia.ac.cn. Checked 22 October 2026.
  3. Stacked Hourglass Network for Robust Facial Landmark Localisation openaccess.thecvf.com. Checked 22 October 2026.
  4. Deep Transport Network for Unsupervised Video Object Segmentation openaccess.thecvf.com. Checked 22 October 2026.
  5. Alphabetical List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 22 October 2026.
  6. Leadership & Administration njupt.edu.cn. Checked 22 October 2026.
  7. Closing Ceremony Held for NJUPT-Sinopec Nanjing Engineering Corporation njupt.edu.cn. Checked 22 October 2026.