Professor Supervisor/Master Supervisor

IET Fellow, Recipient of the National Artificial Intelligence Award

Email: jiagu@cityu.edu.mo

Tel: (853)85902293 

Office address: Room S501 B, Stanley Ho Building, City University of Macau (Taipa) 

Academic Community Positions

Academic Lead of Hengqin Advanced Research Institute, City University of Macau

Director of Joint Lab of City University of Macau and Chinese Academy of Sciences

Mentor of Macao SAR Government Young Scholar Program

Vice Secretary-General, Chinese Association of Automatio

Academic Qualifications

2005 Doctor of Philosophy in Signal Information Processing, University of Rennes 1, France 

2001 Master of Biomedical Engineering, Southeast University, China 

1999 Bachelor of Biomedical Engineering, Southeast University, China 

Research Experience

Chinese Academy of Sciences Professor/Doctoral Supervisor   2008~2017

Zhuhai Inst. of Advanced Tech(CAS)   Chief Scientist    2017~2019

Suzhou Inst. of Advanced Tech(CAS)   Deputy Director   2019~2024

City University of Macau, Faculty of Data Science    Professor 2024~now

Research Interests

Computer vision 

Medical Artificial Intelligence 

Medical imaging 

Image guided robot 

Research Projects (12 National projects, $85Million budget)

• MOST-Macao Joint Fund: Research and Development of Multimodal Data Fusion Technology for Gastrointestinal Cancer (Awarded)
• Macao FDCT Category A Project: Research on Key Technologies of Endoscopic Localization and Map Construction System (Awarded)
• Macao-Guangdong Joint Fund: Fundamental Theory and Key Technology Research on Gantry Robot Operation (Awarded)
• State Key Laboratory Open Project: Research on Key Technologies of Intelligent Hemostasis Robot for Vascular Interventional Surgery (Awarded)
• Guangdong International Science and Technology Cooperation Project: Research on AI-based High-Resolution Magnetic Resonance Imaging and Intelligent Diagnosis Methods (Awarded)
• Zhuhai Innovation Team Project: Industrialization of Natural Orifice Transluminal Surgery Robot and Intelligent Endoscope (Awarded)
• National Natural Science Foundation of China (NSFC): Research on Key Technologies for Nucleus Detection and Classification in Digital Pathology Images (Completed)
• MOST National Key R&D Program: Research on Key Technologies of Multisensory Visual Substitution Based on Audio-Visual-Tactile Feedback (Completed)
• NSFC Young Scientists Fund: Research on Dual-Modal Image Virtual Rendering Mechanism Based on Perceptron Kernel Function (Completed)
• Guangdong Innovation Team Project: Image-Guided Therapy Technology (Completed)
• Shenzhen Key Basic Research Project: Research on Key Technologies of Multimodal Image-Guided Surgical Navigation Instrument (Completed)
• Guangdong Academy-Local Cooperation Project: Development of Portable Intelligent 3D Ultrasound Endoscope System (Completed)
• CAS Key Deployment Project: Surgical Robots (Completed)
• CAS-Guangdong Strategic Cooperation Key Project: High-Intensity Focused Tumor Therapy System (Completed)
• Guangdong Natural Science Foundation: Key Technologies of Multi-Sensing Real-Time Image-Based Surgical Platform (Completed)
• Shenzhen Outstanding Young Scientist Fund: Supervised Texture Learning-based Risk Assessment and Augmented Reality for Flat Endoscopic Lesions (Completed)
• Shenzhen Key Project: Key Research on Ultrasound Radio-Frequency Signals for Quantitative Analysis of Breast Tumors (Completed)
• Shenzhen Key Laboratory Project: Low-Cost and High-Precision Image-Guided HIFU Therapeutic Equipment (Completed)
• Shenzhen Key Basic Research Project: Research on Computer-Aided Intelligent Diagnosis Method for Capsule Endoscopy (Completed)

Research and publishing 

Selected Publications (100+ Peer reviewed SCI papers, Impact Factor exceeding 45 and over 40,000 citations)

Detailed List: https://scholar.google.com/citations?user=UjLZRWgAAAAJ

1. Y Xie, D Wu, J Gu; A one-shot light field calibration method; Optics and Lasers in Engineering 205, 109901 2026

2. J Zhou, Z Zhu, Q Zhang, J Gu; Partial multi-label green learning with global attention disambiguation; Artificial Intelligence Review 1, 3 2026

3. X Li, D Zhao, J Gu; Deciphering spatial heterogeneity by multimodal spatial transcriptomics modelling with SpatialModal; Bioinformatics, 2026

4. X Li, X Jia, J Gu; Geometric-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics; Communications Biology 1   2026

5. Yuancheng Shao, Yao Zhang, Jia Gu; Deep-Learning-Based Control of a Decoupled Two-Segment Continuum Robot for Endoscopic Submucosal Dissection IEEE/ASME Transactions on Mechatronics, 1-13 2026

6. Z Zhu, Q Zhang, W Liu, J Gu; DCAU-KAN: Dual Cross Attention Network for Segmenting Medical Images; International Journal of Image and Graphics, 2850007 2026

7. J Zhou, S Zeng, J Gu; Multi-Layer Subspace Knowledge Transfer Framework for Open-Set Recognition; IEEE Open Journal of the Computer Society 2026

8. X Li, C Zhou, J Gu; FluNexus: A versatile web platform for antigenic prediction and visualization of influenza A viruses; Imeta 5 (2), e70127 5 2026

9. J Zhou, Z Lin, Q Zhang, J Gu; Learning with Euler non-negative representation for robust pattern analysis; Expert Systems with Applications, 132229 1 2026

10. C Liu, J Liu, C Zhu, M Wang, S Shen, J Gu; Rethinking Bias in Generative Data Augmentation for Medical AI: a Frequency Recalibration Method; Proceedings of the AAAI Conference on Artificial Intelligence 40 (9), 7087-7095 2   2026

11. J Zhou, Q Zhang, J Gu; Sparse subspace learning machine for pattern classification; Information Sciences, 123193 2026

12. J Zhou, Q Zhang, X Yang, J Gu; Ellipsoid-Structured Localized Generalized Eigenvalue Proximal Support Vector Machines; Mathematics 14 (3), 485 2026

13. XL JG Jingling Zhang; Beyond Accuracy: A Multi-dimensional Cognitive Audit of Medical Large Vision–Language Models in Fundus Image Interpretation; Applied Sciences 16 ((12)), 6064 2026

14 X Li, J Xu, G Du, X Jia, D Zhao, C Zhou, K Xiao, J Gu; Accurately Deciphering Tissue Heterogeneity From Spatial Multi-Modal and Multi-Omics With STransformer; Advanced science 2 2026

15. H Long, Y Shao, MH Wang, F Jing, Y Chen, S Xiao, J Gu; LC-YOLOmatch: a novel scene segmentation approach based on YOLO for laparoscopic cholecystectomy; Frontiers in Artificial Intelligence 8, 17060212   2025

16. T Wen, Q Ni, J Gu; Freehand Three‐Dimensional Ultrasound Image‐Guided Needle Targeting for Percutaneous Abdominal Puncture; The International Journal of Medical Robotics and Computer Assisted Surgery 2025

17. J Zhang, X Liu, S Zheng, W Zhang, J Gu; Dual-field microvascular segmentation: Hemodynamically-consistent attention learning for retinal vasculature mapping; IEEE Journal of Biomedical and Health Informatics 4* 2025

18. J Tan, Z Wu, Y Zhu, B Miao, D Xu, J Gu; Advances of nanopore direct sequencing technology and bioinformatics analysis for cell-free DNA detection and its clinical applications in cancer liquid biopsy; Frontiers in Molecular Biosciences 12, 1662587 9 2025

19. Q Li, X Tao, X Li, X Zhang, H Wang, J Qin, J Gu; Noninvasive assessment of glymphatic system alterations as potential biomarkers for predicting overall survival in glioma; Journal of Neurosurgery 143 (6), 1477-1489 5    2025

20. Z Akbar, F Hassan, J Li, UA Kashif, Y Liu, J Gu; KAleep-Net: a Kolmogorov-Arnold flash attention network for sleep stage classification using single-channel EEG with explainability; IEEE Transactions on Neural Systems and Rehabilitation Engineering 33, 3685-3696 4 2025

21. B Lu, T Zhou, Q Li, W Chi, Y Wang, Y Wang, H Liu, J Gu; M-DEGREES Net: Monocular-guided Metric Marching Depth Estimation with Graph-based Relevance Ensemble for Endoluminal Surgery; IEEE Journal of Biomedical and Health Informatics 1 2025

22. Y Wu, J Xu, J Li, J Gu; Deep graph convolutional network-based multi-omics integration for cancer driver gene identification; Briefings in Bioinformatics 26 (4), bbaf364 18 2025

23. Q Zhang, J Lv, J Gu; ASR-NeSurf: Alleviating structural redundancy in neural surface reconstruction for deformable endoscopic tissues by validity probability; Displays 88, 103000 2    2025

24. X Zhang, W Sun, H Zhang, L Yang, X Yang, Y Mao, C Zhu, Z Shi, J Gu,Deep learning-based key point detection algorithm assisting vessel centerline extraction; Quantitative Imaging in Medicine and Surgery 15 (5), 4515 2  2025

25. Ming Liu, Tianhao Mu, Jia Gu; The Method of Minimal Residual Disease Detection With Circulating Tumor DNA and Its Clinical Applications in Colorectal Cancer; Cancer Reports 8 (3), 1-13 10* 2025

26. Y Shi, B Hu, M Xu, Y Yao, S Gao, X Xia, X Deng, J Liu, J Gu; Application of quantitative histomorphometric features in computational pathology; Interdisciplinary Medicine 3 (1), e20240037 2 2025

27. X Li, J Xu, J Li, J Gu; Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks; Briefings in Bioinformatics 26 (1), bbae691 22 2025

28. B Xiong, Y Peng, JK Zhu, J Gu; AGWNet: Attention-guided adaptive shuffle channel gate warped feature network for indoor scene RGB-D semantic segmentation; Displays 83, 102730

29. H Li, Y Zhao, J Duan, J Gu; MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer; Displays 83, 102698 13   2024

30. Z. Zhang, J. He, J. Gu. Saliency-guided Stairs Detection on Wearable RGB-D Devices for Visually Impaired Persons with Swin-Transformer. Pattern Recognition Letters 177 (2024) 47-53

31. X. Lin, J. Gu. A biochemiluminescent assay for rapid diagnosis of influenza, January 2022 Clinical and Experimental Medicine, vol 22, pages577–581 (2022)

32. Y. Zhang, L. li, J. Gu. Cervical Precancerous Lesion Detection Based on Deep Learning of Colposcopy Images. May 2020 Journal of Medical Imaging and Health Informatics 10(5):1234-1241 DOI:10.1166/jmihi.2020.3051

33. S. Chen, Y. Zhou, J. Gu. Gencore: An efficient tool to generate consensus reads for error suppressing and duplicate removing of NGS data. December 2019 BMC Bioinformatics 20(S23) DOI:10.1186/s12859-019-3280-9

34. S. Chen, H. Qu, J. Gu. Detect and visualize tumor microsatellite instability status from next-generation sequencing data by simulating PCR techniques. May 2019 Journal of Clinical Oncology 37 DOI:10.1200/JCO.2019.37.15_suppl.e13052

35. S. Chen, T. Huang, J. Gu. MutScan: Fast detection and visualization of target mutations by scanning FASTQ data. January 2018 BMC Bioinformatics 19(1) DOI:10.1186/s12859-018-2024-6

36. S. Chen, Y. Zhou, J. Gu. fastp: an ultra-fast all-in-one FASTQ preprocessor. September 2018 Bioinformatics 34(17):i884-i890 DOI:10.1093/bioinformatics/bty560

37. S. Chen, M. Liu, J. Gu. GeneFuse: detection and visualization of target gene fusions from DNA sequencing data. May 2018 International Journal of Biological Sciences 14(8):843-848 DOI:10.7150/ijbs.24626

38. W. Qin, J. Wu, J. Gu. Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation. April 2018 Physics in Medicine and Biology 63(9) DOI:10.1088/1361-6560/aabd19

39. L. Liu, K. Li, J. Gu. Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images. January 2018 Medical & Biological Engineering & Computing 56(7) DOI:10.1007/s11517-017-1770-3

40. S. Chen, M. Liu, J. Gu. A Study of Cell-free DNA Fragmentation Pattern and Its Application in DNA Sample Type Classification. July 2017 IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM PP(99):1-1 DOI: 10.1109/TCBB.2017.2723388

41. T. Wen, F. Yang, J. Gu. An Adaptive Kernel Regression Method for 3D Ultrasound Reconstruction Using Speckle Prior and Parallel GPU Implementation. June 2017 Neurocomputing 275(9) DOI:10.1016/j.neucom.2017.06.014

42. T. Wen, L. Li, J. Gu. GPU-accelerated Kernel Regression Reconstruction for Freehand 3D Ultrasound Imaging. March 2017 Ultrasonic Imaging 39(4) DOI:10.1177/0161734616689464

43. S. Chen, T. Huang, J. Gu. AfterQC: Automatic filtering, trimming, error removing and quality control for fastq data. March 2017 BMC Bioinformatics 18(S3) DOI:10.1186/s12859-017-1469-3

44. T. Wen, J. Gu. A novel Bayesian-based nonlocal reconstruction method for freehand 3D ultrasound imaging. November 2015 Neurocomputing 168:104-118 DOI:10.1016 /j.neucom.2015.06.009

45. T. Wen, J. Gu. Nonlocal Total Variation-Based Speckle Filtering for Ultrasound Images. August 2015 Ultrasonic Imaging 38(4) DOI:10.1177/0161734615600676

46. J. Gu, H. Shu, C. Toumoulin. A novel algorithm for fast computation of Zernike moments. Pattern Recognition 35(12):2905-2911 DOI:10.1016/S0031-3203(01)00194-7

Selected Patents (100+ granted patents, with 4 international patents)

1. Computer aided diagnosis using video from endoscopes US Patent 2008/0058593

2. Method of image quality assessment to produce standardized imaging data US Patent 8,295,565

3. Method to provide automated quality feedback to imaging devices to achieve standardized imaging data   US Patent 8,401,258

4. 內視鏡からの映像を用いるコンピュータ支援解析 Japan 5113841

5. Active snake shaped endoscope robot system   China 2013104427904

6. Medical endoscope, medical endoscope cold light source system and its temperature control system  China 2013103998087

7. Medical endoscope, medical endoscope cold light source system and its working method    China 201310398816X

8. A surgical navigation system based on multimodal imaging China 2013102981426

9. Surgical navigation system and its method    China 2013101857582

10. Capsule endoscope and its automatic focusing method China 2013103323429

11. Freestyle 3D ultrasound imaging method, device, and system  China 2014100964492

12. An endoscopic surgical instrument delivery device, control method, and robot system    China 2021110798018

13. A surgical clip and surgical robot for surgical robots  China 2021110804324

14. An endoscopic surgical mechanical device and surgical robot China 2021110804343

15. A flexible surgical instrument control device and endoscopic surgical robot system    China 202111080456X