Academic Qualification

Ph.D. in Beijing Institute of Technology

Master in Beijing Institute of Technology

Bachelor in Beijing Institute of Technology

Teaching Area

Numerical Computation

Mathematical Foundations of Artificial Intelligence

Research Area

Medical Image Processing

Image-guided Surgery/Intervention

Interventional Surgery Robot

Professional Services

Reviewer for journals and conferences, including:

International Conference on Medical Image Computing and Computer-Assisted Intervention

IEEE Transactions on Biomedical Engineering

IEEE Journal of Biomedical and Health Informatics

IEEE Transactions on Medical Imaging

International Journal of Computer Assisted Radiology and Surgery

IEEE International Conference on Multimedia&Expo

Working Experience

Sep. 2025 ~ present, Assistant Professor, School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China.

Oct. 2020 ~ Aug. 2025, Research Director, Hanglok-Tech Co., Ltd.

Jul. 2021 ~ Jul. 2024, Post-doctoral Researcher, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.

Jun. 2014 ~ Jun. 2015, Software Engineer, LUSTER LightTech Co., Ltd., Beijing, China

Academic Publication (selected)

1.          Y. Liu, Y. Wang, J. Xiao, X. He, C. Wang, J. Zhu, P. Lv, H. Cai, L. Qiu, Y. Zhu, Y. Li, and L. Lu, “Computed tomography and ultrasound-guided robotic assistance in percutaneous puncture in abdominal phantom and porcine liver models,” IEEE Transactions on Medical Robotics and Bionics, vol. 7, no. 2, pp. 542–549, 2025.

2.          P. Lyu, J. Zhang, L. Zhang, W. Liu* , C. Wang, and J. Zhu* , “Metaunetr: Rethinking token mixer encoding for efficient multi-organ segmentation,” in International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2024, pp. 446–455.

3.          J. Xiong, P. Lyu, T. Lin, K. Song, C. Wang, and J. Zhu* , “A highly efficient segmentation method for abdominal multi-organs on laptop,” in MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, Springer, 2024, pp. 116–131.

4.          P. Lyu, J. Xiong, W. Fang, W. Zhang, C. Wang, and J. Zhu* , “Advancing multi-organ and pan-cancer segmentation in abdominal ct scans through scale-aware and self-attentive modulation,” in MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, Springer, 2023, pp. 84–101.

5.          C. Wang, J. Zhu, X. Li, S. Chen, Z. Chen, Y. Huang, Y. Wu, M. Zhan, and L. Lu, “Vision servoing endovascular interventional robot system: Design and verification,” in 2024 IEEE International Conference on Cyborg and Bionic Systems (CBS), IEEE, 2024, pp. 126–132.

6.          P. Lyu, W. Liu* , T. Lin, J. Zhang, Y. Liu, C. Wang, and J. Zhu, “Semi-supervised segmentation of abdominal organs and liver tumor: Uncertainty rectified curriculum labeling meets x-fuse,” Machine Learning: Science and Technology, vol. 5, no. 2, p. 025 047, 2024.

7.          C. Wang, L. Guo, J. Zhu, L. Zhu, C. Li, H. Zhu, A. Song, L. Lu, G.-J. Teng* , N. Navab, and Z. Jiang, “Review of robotic systems for thoracoabdominal puncture interventional surgery,” APL bioengineering, vol. 8, no. 2, 2024.

8.          X. Wang, J. Zhu, Y. Wang, C. Wang, P. Chen, P. Lyu, J. Xu, and G.-J. Teng, “A respiratory signal monitoring method based on dual-pathway deep learning networks in image-guided robotic-assisted intervention system,” The International Journal of Medical Robotics and Computer Assisted Surgery, vol. 20, no. 6, e70017, 2024.

9.          J. Zhu, C. Wang, S. Teng, J. Lu, P. Lyu, P. Zhang, J. Xu, L. Lu* , and G.-J. Teng* , “Embedding expertise knowledge into inverse treatment planning for low-dose-rate brachytherapy of hepatic malignancies,” Medical Physics, vol. 51, no. 1, pp. 348–362, 2024.

10.      G. Zhang, H.-C. Wong* , J. Zhu* , T. An, and C. Wang, “Jigsaw training-based background reverse attention transformer network for guidewire segmentation,” International Journal of Computer Assisted Radiology and Surgery, vol. 18, no. 4, pp. 653–661, 2023.

11.      J. Zhu, C. Wang, Y. Zhang, M. Zhan, W. Zhao, S. Teng, L. Lu* , and G.-J. Teng* , “3d/2d vessel registration based on monte carlo tree search and manifold regularization,” IEEE Transactions on Medical Imaging, vol. 43, no. 5, pp. 1727–1739, 2023.

12.      J. Zhu, H. Li, D. Ai* , Q. Yang, J. Fan, Y. Huang, H. Song, Y. Han, and J. Yang* , “Iterative closest graph matching for non-rigid 3d/2d coronary arteries registration,” Computer Methods and Programs in Biomedicine, vol. 199, p. 105 901, 2021.

13.      J. Yang, J. Zhu, D. Y. Sze, L. Cui, X. Li, Y. Bai, D. Ai, J. Fan, H. Song, and F. Duan* , “Feasibility of augmented reality–guided transjugular intrahepatic portosystemic shunt,” Journal of Vascular and Interventional Radiology, vol. 31, no. 12, pp. 2098–2103, 2020.

14.      J. Zhu, J. Fan, S. Guo, D. Ai, H. Song, C. Wang, S. Zhou, and J. Yang* , “Heuristic tree searching for pose-independent 3d/2d rigid registration of vessel structures,” Physics in Medicine & Biology, vol. 65, no. 5, p. 055 010, 2020.

15.      H. Fang, D. Ai* , W. Cong, S. Yang, J. Zhu, Y. Huang, H. Song, Y. Wang, and J. Yang* , “Topology optimization using multiple-possibility fusion for vasculature extraction,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 2, pp. 442–456, 2019.

16.      H. Fang, J. Zhu, D. Ai, Y. Huang, Y. Jiang, H. Song, Y. Wang, and J. Yang* , “Greedy soft matching for vascular tracking of coronary angiographic image sequences,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 5, pp. 1466–1480, 2019.

17.      J. Zhu, X. Wang, S. Ma, J. Fan, S. Song, X. Ma, D. Ai, H. Song, Y. Jiang, Y. Wang, and J. Yang* , “Unbiased groupwise registration for shape prediction of foot scans,” Medical & Biological Engineering & Computing, vol. 57, pp. 1985–1998, 2019

Research Grants

2025.01 – 2027.12

National Key Research and Development Program (2024YFE0201700)

Title: Study on Interventional Surgical Robot Diagnosis and Treatment System for Intracerebral Artery Disease.

Role: Co-PI.

Amount: CNY 600,000.

2025.01 – 2027.12

Project supported by National Natural Science Foundation of China (No. 82402410)

Title: Research on Instrument Force Perception and Safety Control Methods for Vascular In

terventional Robot Based on Multimodal AI Models.

Role: Principal Investigator.

Amount: CNY 300,000.

2021.11 – 2024.07

Project funded by China Postdoctoral Science Foundation (No. 2021M700772)

Title: Instrument Positioning and Intelligent Control for Endovascular Interventional Robot.

Role: Principal Investigator.

Amount: CNY 80,000.

Professional Certification and Awards

2024, First Winner Award, MICCAI Challenge on Fast, Low-resource, and Accurate oRgan and Pan

cancer sEgmentation in Abdomen CT (Flare 2024 Task2).

2023, Meritorious Winner Award, MICCAI Challenge on Fast, Low-resource, and Accurate oRgan and

Pan-cancer sEgmentation in Abdomen CT (Flare 2023).

2023, First Winner Award, Liver Tumor Segmentation Task, The 6th International Symposium on

Image Computing and Digital Medicine.

Professional Society Membership

IEEE Member

MICCAI Society Member