Personal profile
Author IDs
ORCID iD: 0000-0002-5815-2483
Scopus Author ID: 57218181324
Impact
Qualifications/Experiences
Cornell University
2016-2019, Postdoctoral Fellow, Dalio Institute of Cardiovascular Imaging
University of Toronto
2011 – 2016, Ph.D. in Mechanical Engineering (advisor: Professor Yu Sun)
Shandong University
2004-2008, B.E. in Automation & B.S. in Economics
Biography
Jun Liu obtained his Ph.D. in mechanical engineering under the supervision of Prof. Yu Sun from University of Toronto in 2016. Before joining CityU, he was a postdoc associate in the Dalio Institute of Cardiovascular Imaging at Cornell University, where he conducted research in advanced medical imaging technologies. His research interests include micro-/ nanorobotics, soft and medical robotics, and biomedical instrumentation.
His research has been recognized on the major robotics and automation conferences by winning multiple awards including the Best Student Paper Award and Best Medical Robotics Paper Finalist Award from the IEEE International Conference on Robotics and Automation in 2014, and the Gaitech Best Paper in Robotics Award from the IEEE International Conference on Information and Automation in 2016.
Prizes/Honours
- IEEE TASE Best New Application Award
IEEE Transactions on Automation Science and Engineering, 2018
- ICIA Gaitech Best Paper in Robotics Award
IEEE International Conference on Information and Automation, Ningbo, China, 2016
- ICRA Best Student Paper Award
IEEE International Conference on Robotics and Automation, Hong Kong, 2014
- ICRA Best Manipulation Paper Award Finalist
IEEE International Conference on Robotics and Automation, Hong Kong, 2014
- ICRA Best Medical Robotics Paper Award Finalist
IEEE International Conference on Robotics and Automation, Hong Kong, 2014
- TRCHR PHD Fellowship
Ted Rogers Center for Heart Research, Toronto, 2015-2016
- Mart Liinve Scholarship
University of Toronto, Toronto, 2014
- IEEE RAS Student Travel Award, ICRA 2014
IEEE Robotics and Automation Society
Position(s) Available
Ph.D. Positions are Available!
The Multiscale Automation and Robotics (MARs) Lab is hiring. The MARs Lab (https://www.cityu.edu.hk/mne/marslab/), affiliated with City University of Hong Kong, focuses on the research in micro/nano robotics, soft and medical robotics, and automation at micro/nanometer scales. With a strong belief in interdisciplinary research in electrical, mechanical and biomedical engineering, we innovate and integrate the cutting-edge techniques from different areas to invent enabling tools and technology. The MARs lab shares a culture of being radically open-minded and transparent. If you are interested in our research, please contact us. Collaborations and generous donations are needed to “create a better world together with smarter robots”.
All talented and enthusiastic individuals with strong academic background are encouraged to apply for our Ph.D. program. Better opportunities will be given to students with a high GPA and/or one or two peer-reviewed international journal publications.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations from the last five years
Research output
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Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
Dai, W., Liu, R., Wu, Z., Wu, T., Wang, M., Zhou, J., Yuan, Y. & Liu, J., 12 Jan 2026, (Online published) In: IEEE Transactions on Neural Networks and Learning Systems. 18 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Link opens in a new tab Citation (Scopus) -
Magnetically actuated momentum-driven millirobots
Wang, M., Wu, W., Zheng, Z., Dai, W., Wu, T., Liu, R., Xiang, Y., Wang, S., Zhang, J., Wang, Z. & Liu, J., 2026, In: Nature Communications. 17, 1, 1169.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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A self-sufficient system for fog-to-water conversion and nitrogen fertilizer production to enhance crop growth
Zhang, Z. (Co-first Author), Li, T. (Co-first Author), Yuan, Y. (Co-first Author), Zhang, Z. (Co-first Author), Ling, C., Yao, X., Wang, H., Lo, W. K., Xu, Q., Liu, J., Ng, Y. H., Long, T. & Wang, S., 2025, In: Nature Communications. 16, 4926.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)19 Downloads (CityUHK Scholars) -
Automated Non-Invasive Analysis of Motile Sperms Using Sperm Feature-Correlated Network
Dai, W., Wu, Z., Liu, R., Wu, T., Wang, M., Zhou, J., Zhang, Z. & Liu, J., 2025, In: IEEE Transactions on Automation Science and Engineering. 22, p. 3960-3970 11 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)111 Downloads (CityUHK Scholars) -
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Zhu, M., Mao, A., Liu, J. & Yuan, Y., Apr 2025, In: IEEE Transactions on Medical Imaging. 44, 4, p. 1783-1795 13 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
3 Link opens in a new tab Citations (Scopus)
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SZSTIB-C-HK: 应用于介入治疗的三维增强现实导航技术
LIU, J. (Principal Investigator / Project Coordinator)
30/04/22 → …
Project: Research
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ITF: Automated Construction Robot for Gypsum Block Wall Laying
LIU, J. (Principal Investigator / Project Coordinator), CHAN, M. (Co-Investigator), LUK, B. L. (Co-Investigator), WANG, S. (Co-Investigator) & WONG, P. L. P. (Co-Investigator)
1/07/23 → 12/09/24
Project: Research
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GRF: Development of A New Microrobotic System for Cryopreservation of Reproductive Cells
LIU, J. (Principal Investigator / Project Coordinator)
1/01/23 → 8/05/25
Project: Research
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GRF: A Fully Automated Adherent Cell Injection System for High-throughput Drug Screening
LIU, J. (Principal Investigator / Project Coordinator) & LI, W. J. (Co-Investigator)
1/01/22 → 28/02/25
Project: Research
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TSG(CityU): Development of an Augmented Reality Human-machine Interface for Promoting Student’s Engagement in Robotics and Control Related Courses
LIU, J. (Principal Investigator / Project Coordinator)
1/01/21 → 30/06/22
Project: Research
Prizes
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IEEE ICRA Best Paper Award in Medical Robotics Finalist
LIU, J. (Recipient), 2014
Prize: RGC 64B - Prizes and awards
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IEEE ICRA Best Paper Award in Robot Manipulation Finalist
LIU, J. (Recipient), 2014
Prize: RGC 64B - Prizes and awards
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