YU, Jiangfan

Assistant Professor

Presidential Young Fellow
Education Background

Ph.D. Chinese University of Hong Kong 

B.Eng. Harbin Institute of Technology 

Research Field
Micro/nanorobotics, medical robotics, biomedicine
Academic Area
Artificial Intelligence and Robotics, Computer Engineering, Materials, Biomedical Engineering
Personal Website

Prof. Yu is currently an Assistant Professor and Presidential Young Fellow in School of Science and Engineering, an Adjunct Assistant Professor in School of Medicine, CUHK(SZ). He is also the Director of the Research Center on Microrobotics, Shenzhen Institute of AI and Robotics for Society (AIRS).  He leads projects granted from NSFC, MOST, Department of Science and Technology of Guangdong Province, Shenzhen Science and Technology Innovation Committee. He is a National High-level Young Scientist, the PI of National Key R&D Program of China (Youth Program), and a member of Chinese Society of Micro-Nano Technology, Micro-Nanorobotics Branch and Micro-Nanoactuators Branch.

Prof. Yu's research interests mainly focus on micro/nanorobotics, including their fundamental modelling, actuation strategy, motion and reconfiguration control, and biomedical applications. He has published over 50 top journal and international conference papers, including Science Advances, Nature Communications, IJRR, T-Ro, T-Mech, Science Robotics and ACS Nano. Several of his journal papers have been indexed as ESI highly cited papers, and have been highlighted in Science, Nature and international press reports, such as CNN. He has also published 1 monograph, 1 edited book and 1 book chapter.

Prof. Yu has won several impactful awards, including the second prize of Wu Wen Jun AI Science & Technology Award, Baidu Global Chinese Young Scholar in AI, Forbes China 30 under 30, Nature Communications Top 50 physics articles, T-Mech best paper award finalist, CUHK Postgraduate Research Output Award, Hong Kong Young Scientist Award shortlist. He serves as an associate editor for IEEE RA-L and several International Conferences, and a reviewer for top journals and conferences, including Science Robotics, Science Advances, T-Ro, and T-Mech. Please find Intelligent Microrobotics Lab (IML) led by Prof. Yu by: www.imlyu.com, if you are interested in looking for more details.

Academic Publications


  • L. Zhang, J. F. Yu, and L. D. Yang, Micro- and Nanorobots: From Individual to Swarm (in Chinese), Science Press (科学出版社), 2020.


Selected Journal Publications: ( * denotes co-first authorship.)


  • J. F. Yu*, D. D. Jin*, K. F. Chan, Q. Q. Wang, K. Yuan and L. Zhang, Active Generation and Magnetic Actuation of Microrobotic Swarms in Bio-fluids, Nature Communications, Vol. 10, Issue 1, 1 - 12, 2019.
  • J. F. Yu, B. Wang, X. Z. Du, Q. Q. Wang and L. Zhang, Ultra-extensible Ribbon-like Magnetic Microswarm, Nature Communications, Vol. 9, 3260, 2018. (ESI highly cited paper)
  • J. F. Yu, L. D. Yang and L. Zhang, Pattern Generation and Motion Control of a Vortex-like Paramagnetic Nanoparticle Swarm, International Journal of Robotics Research, Vol. 37, Issue 8, 912-930, 2018.
  • J. F. Yu, T. T. Xu, Z. Y. Lu, C. I. Vong, L. Zhang, On-demand Disassembly of Magnetic Nanoparticle Chains for Microrobotic Cargo Delivery, IEEE Transactions on Robotics, Vol.33, Issue 5, 1213-1225, 2017.
  • J. F. Yu, and L. Zhang, Reversible Pattern Transformation of Paramagnetic Nanoparticle Swarms in Bio-fluids with High Ionic Strength, IEEE/ASME Transactions on Mechatronics, Vol. 24, Issue 1, 154-163, 2019. (Finalist for 2020 TMECH Best Paper Award)
  • J. F. Yu, Q. Q. Wang, M. Z. Li , C. Liu, L. D. Wang, T. T. Xu, L. Zhang, Characterizing Nanoparticle Swarms with Tuneable Concentrations for Enhanced Imaging Contrast, IEEE Robotics and Automation Letters, Vol. 4, Issue 3, 2942-2949, 2019.
  • D.D. Jin*J. F. Yu*, K. Yuan, L. Zhang, Mimicking the structure and function of ant bridge in reconfigurable microswarm for electronic applications, ACS Nano, Vol. 13, Issue 5, 5999-6007, 2019.
  • X. Yan, Q. Zhou, M. Vincent, Y. Deng, J. F. Yu, J. Xu, T. Xu, T. Tang, L. Bian, Y. Wang, K. Kostarelos, L. Zhang, Multifunctional biohybrid magnetite microrobots for imaging-guided therapy,  Science Robotics, Vol. 2, Issue 12, eaaq1155, 2017.
  • L. D. Yang, J. F. Yu, L. Zhang, Statistics-based automated control for a swarm of paramagnetic nanoparticles in 2D space, IEEE Transactions on Robotics, 2019, accepted.
  • X. Wang, J. H. Law, M. X. Luo, Z. Y. Gong, J. F. Yu, W. T. Tang, Z. R. Zhang, X. T. Mei, Z. J. Huang, L. D. You and Y. Sun, Magnetic Measurement and Stimulation of Cellular and Intracellular Structures, ACS Nano, 14 (4), 3805-3821, 2020.


  • T. T. Xu, J. F. Yu, C. I. Vong, B. Wang, X. Y. Wu, L. Zhang, Dynamic morphology and swimming properties of rotating miniature swimmers with soft tails, IEEE/ASME Transactions on Mechatronics, Vol. 24, Issue 3, 924-934, 2019.

Selected Conference Publications:


  • J. F. Yu and L. Zhang, Reconfigurable Colloidal Microrobotic Swarm for Targeted Delivery, IEEE Ubiquitous Robots 2019 (UR 2019), 615 - 616.
  • J. F. Yu, D. D. Jin, L. Zhang, Mobile Magnetic Nanoparticle-based Vortex for Targeted Cargo Delivery in Fluid, IEEE International Conference on Robotics and Automation (ICRA 2017), 6594 - 6599.
  • J. F. Yu, L. Zhang, Paramagnetic Nanoparticle-based Vortex: Generation, Mobility and Micromanipulation, IEEE NANO 2017, 293 - 296.
  • J. F. Yu, H. B. Yu, T. T. Xu and L. Zhang. Magnetic Control of AMB-1 Magnetotactic Bacteria for Micromanipulation, IEEE International Conference on Automation Science and Engineering (CASE 2015), 1614-1619.
  • L. D. Yang, J. F. Yu, and L. Zhang, A Mobile Paramagnetic Nanoparticle Swarm with Automatic Shape Deformation Control, IEEE International Conference on Robotics and Automation (ICRA 2020), accepted.
  • Q. Q. Wang, B. Wang, J. F. Yu, K. Schweizer, B. J. Nelson, and L. Zhang, Reconfigurable Magnetic Microswarm for Thrombolysis under Ultrasound Imaging, IEEE International Conference on Robotics and Automation (ICRA 2020), accepted.
  • Q. W. Chao, J. F. Yu, T. T. Xu, L. Zhang, C. L. Wang, X. G. Jin, Steering Micro-Robotic Swarm by Dynamic Actuating Fields, IEEE International Conference on Robotics and Automation (ICRA 2016), 5230-5235.