Researcher

Jing Qin

Also known as Harry Qin, Qin Jing

Jing Qin, also known as Harry Qin, is a professor at The Hong Kong Polytechnic University who applies deep learning and virtual reality to medical images and healthcare. He earned a PhD in Computer Science and Engineering from the Chinese University of Hong Kong in 2009, then coauthored 3D convolutional networks for medical scans, among them a 2016 cerebral microbleed detector and the 3D deeply supervised network that won the Medical Image Analysis best paper award at MICCAI 2017. After serving as a local organization chair for MICCAI 2019, he was promoted to Professor in PolyU's School of Nursing in July 2023, and Clarivate named him a Highly Cited Researcher in 2025. He is Professor and Director of the Centre for Smart Health at PolyU, where his research covers advanced machine learning and simulation techniques for healthcare and medicine.

Timeline

  1. 2009

    PhD at CUHK

    He earns a PhD in Computer Science and Engineering from the Chinese University of Hong Kong in 2009. His doctoral study on VR-based simulation systems for surgical training and planning wins the Hong Kong Medical and Health Device Industries Association Student Research Award.

  2. 2016

    3D CNNs for microbleed detection

    In 2016, he coauthors an IEEE Transactions on Medical Imaging paper that uses a cascaded 3D convolutional neural network to detect cerebral microbleeds in MR scans; it reaches 93.16% sensitivity with 2.74 false positives per subject on 320 volumetric scans. A paper on 3D fully convolutional networks for intervertebral disc localization and segmentation wins the Best Paper Award at the International Conference on Medical Imaging and Augmented Reality in 2016.

  3. 2017

    A MICCAI best paper award

    In September 2017, he wins the Medical Image Analysis best paper award at MICCAI with Pheng Ann Heng, Qi Dou, Lequan Yu, Hao Chen, Yueming Jin and Xin Yang for "3D deeply supervised network for automated segmentation of volumetric medical images". The 3D DSN is a fully convolutional network with a 3D deep supervision mechanism, validated on liver segmentation from CT scans and whole heart and great vessel segmentation from MR images. His ultrasound visualization project also takes the champion award at the 3rd Hong Kong Innovation Day in November 2017.

  4. 2019

    Local chair of MICCAI 2019

    In 2019, he serves as a local organization chair for the MICCAI conference. He is also a program committee member for AAAI, IJCAI and MICCAI.

  5. December 2022

    Associate professor at PolyU

    In December 2022, as an associate professor in the Centre for Smart Health at PolyU's School of Nursing, he gives a CUHK seminar on enhancing the representation capability of deep learning models for medical image analysis under limited training data. His research combines virtual and augmented reality with AI for healthcare and medicine.

  6. July 2023

    Promotion to professor

    In July 2023, he is promoted to Professor at PolyU's School of Nursing.

  7. 2025

    A Highly Cited Researcher

    Clarivate recognises him as a Highly Cited Researcher in 2025, one of 20 PolyU scholars on the list. In the 2025 Faculty Awards/Prizes for Outstanding Achievement, he receives a Faculty Award in Research & Scholarly Activities.

  8. As of October 2026

    Director of Centre for Smart Health

    He is Professor in the School of Nursing at The Hong Kong Polytechnic University and Director of its Centre for Smart Health, with research interests in advanced machine learning and simulation techniques for healthcare and medicine. In 2026, a paper he coauthors on adapting a vision-language foundation model to medical ultrasound image analysis appears in Expert Systems with Applications.

Career

  1. Since 2022Hong Kong Polytechnic UniversityAssociate Professor, Professor

Education

  1. 2009Chinese University of Hong KongPhD

Sources and credits

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  1. SAR / RCMI PolyU Research Conference sar-rcmi2024.org. Checked 21 October 2026.
  2. Enhancing Representation Capability of Deep Learning Models for Medical Image Analysis under Limited Training Data – CUHK CSE cse.cuhk.edu.hk. Checked 21 October 2026.
  3. Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks - PolyU Scholars Hub research.polyu.edu.hk. Checked 21 October 2026.
  4. Centre for Smart Health | School of Nursing polyu.edu.hk. Checked 21 October 2026.
  5. Prof. Heng Pheng Ann and His Team Won the Best Paper Award of Medical Image Analysis in the 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017 (MedIA-MICCAI’17) – CUHK CSE cse.cuhk.edu.hk. Checked 21 October 2026.
  6. Prof. Harry QIN is recognised as a ‘Highly Cited Researchers 2025’ | School of Nursing polyu.edu.hk. Checked 21 October 2026.
  7. 9 PolyU School of Nursing Scholars Won Faculty Awards/Prizes for Outstanding Achievement 2025 | School of Nursing polyu.edu.hk. Checked 21 October 2026.
  8. Prof. Harry QIN | School of Nursing polyu.edu.hk. Checked 21 October 2026.
  9. Jing Qin - PolyU Scholars Hub research.polyu.edu.hk. Checked 21 October 2026.