PeopleofSuperintelligence

Researcher

Hanqing Lu

Also known as 卢汉清, Lu Hanqing

Hanqing Lu is a computer-vision researcher at the Chinese Academy of Sciences who has worked at its Institute of Automation since 1992, with a focus on image and video analysis. He held visiting posts at the Hong Kong University of Science and Technology and the Chinese University of Hong Kong from 1994 to 1998, and became a researcher and doctoral supervisor at the National Laboratory of Pattern Recognition in 1999. In 2004 he coauthored a face-detection paper using an improved LBP, and in 2012 an AAAI paper on Nonnegative Discriminative Feature Selection. In 2019 he coauthored the Dual Attention Network for scene segmentation and the two-stream adaptive graph convolutional network for skeleton-based action recognition at CVPR, followed by Shift-GCN at CVPR in 2020. He is a researcher and doctoral supervisor at the National Laboratory of Pattern Recognition.

Badges

Timeline

  1. 1992–1998

    Postdoc, then associate researcher

    From 1992 to 1994, he is a postdoctoral researcher at the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. He stays on as an associate researcher there from 1994 to 1998.

  2. 1994–1998

    Visiting researcher in Hong Kong

    Between 1994 and 1998, he holds visiting researcher posts at the Hong Kong University of Science and Technology and the Chinese University of Hong Kong.

  3. 1999

    Researcher and doctoral supervisor

    He becomes a researcher and doctoral supervisor at the National Laboratory of Pattern Recognition in 1999. His research interest is image and video analysis.

  4. 2004

    Face detection with improved LBP

    He coauthors "Face detection using improved LBP under Bayesian framework" with H Jin, Q Liu and X Tong for the Third International Conference on Image and Graphics in 2004.

  5. 2012

    Unsupervised feature selection at AAAI

    The Twenty-Sixth AAAI Conference on Artificial Intelligence in 2012 carries his paper with Zechao Li, Yi Yang, Jing Liu and Xiaofang Zhou, which proposes Nonnegative Discriminative Feature Selection (NDFS). The algorithm learns cluster labels through spectral clustering while it selects features.

  6. 2019

    Dual attention for scene segmentation

    In 2019, he coauthors Dual Attention Network for Scene Segmentation (DANet) with Jun Fu, Jing Liu and colleagues at CVPR. DANet adds position and channel attention modules to a dilated FCN and reaches new state-of-the-art results on Cityscapes, PASCAL Context and COCO Stuff.

  7. 2019–2020

    Graph networks for action recognition

    The two-stream adaptive graph convolutional network (2s-AGCN), coauthored with Lei Shi, Yifan Zhang and Jian Cheng, appears at CVPR in 2019. Shift-GCN, coauthored with Ke Cheng and colleagues, follows at CVPR in 2020 and is built from shift graph operations and lightweight point-wise convolutions.

  8. As of October 2026

    Researcher at the Institute of Automation

    He continues as a researcher and doctoral supervisor at the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. His research covers image and video analysis, skeleton-based action recognition and object detection.

Career

  1. Since 1992Institute of Automation, Chinese Academy of SciencesPostdoc, then associate researcher, Researcher and doctoral supervisor
  2. 1994–1998Hong Kong University of Science and TechnologyVisiting researcher
  3. 1994–1998Chinese University of Hong KongVisiting researcher

From the biography.

  1. 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.
  2. 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.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Chinese Academy of Sciences. 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 Chinese Academy of Sciences. 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 named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Hanqing Lu | alphaXiv alphaxiv.org. Checked 22 October 2026.
  2. Hanqing Lu - Google Scholar scholar.google.com. Checked 22 October 2026.
  3. Unsupervised Feature Selection Using Nonnegative Spectral Analysis | Proceedings of the AAAI Conference on Artificial Intelligence ojs.aaai.org. Checked 22 October 2026.
  4. Dual Attention Network for Scene Segmentation arxiv.org. Checked 22 October 2026.
  5. Dual Attention Network for Scene Segmentation | CVPR 2019 Open Access Repository openaccess.thecvf.com. Checked 22 October 2026.
  6. Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition | CVPR 2019 Open Access Repository openaccess.thecvf.com. Checked 22 October 2026.
  7. Skeleton-Based Action Recognition With Shift Graph Convolutional Network | CVPR 2020 Open Access Repository openaccess.thecvf.com. Checked 22 October 2026.
  8. Lu, Hanqing, Institute of Automation Chinese Academy of Sciences | TOPSCINET topscinet.com. Checked 22 October 2026.