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Automation & Intelligent Robot Lab

HKU

Publications

The following materials include research papers that have been published or accepted for publication. Personal use of these materials is permitted. However, permission to reprint or republish any copyrighted components must be obtained from the publisher.

This page is under construction. Please refer to
my previous webpage for record.

Peer-reviewed Journal Papers

[61]

M. Chen, Y. Sun, J. Xu, J. Liu "Snap-bounded and time-optimal feedrate scheduling for robotic milling of complex surface parts with analytical solution," IEEE Transactions on Industrial Informatics, Dec. 2024, doi: 10.1109/TII.2025.3528566.

[60]

T. Wu, K. Shang, X. Jin, Z.J. Zhang, C.J Li, S. Wang, J. Liu “Spatially embedded transformer: A point cloud deep learning model for aero-engine coaxiality prediction based on virtual measurement,” Advanced Engineering Informatics, vol. 62, no. D, pp. 102900–102914, Oct. 2024.

[59]

W. Wu T. Jiang, M. Wang, T. Li, Y. Song, J. Liu, Z. Wang, H. Jiang, “Bioinspired Monopolar Controlled Ionic Hydrogels for Flexible Non‐Contact Human–Machine Interfaces,” Advanced Functional Materials, Aug. 2024, doi: 10.1002/adfm.202408338.

[58]

X. Wang, W. Kang, X. Liang, K. Ban, J. Liu*, and J. Zhang*, “A Magnetic Catheter With Force Sensing Capability Toward Interventional Surgery,” IEEE Robotics and Automation Letters, vol. 9, no. 11, pp. 10375–10382, Nov. 2024, doi: 10.1109/LRA.2024.3469818.

[57]

N. Yang, F. Lu, G. Tian, and J. Liu, “Long-Term Active Object Detection for Service Robots: Using Generative Adversarial Imitation Learning With Contextualized Memory Graph,” IEEE Transactions on Industrial Electronics, pp. 1–11, 2024, doi: 10.1109/TIE.2024.3468636.

[56]

T. Wu, K. Shang, W. Dai, M. Wang, R. Liu, J. Zhou, and J. Liu, “High-resolution cross-scale transformer: A deep learning model for bolt loosening detection based on monocular vision measurement,” Engineering Applications of Artificial Intelligence, vol. 133, Part F, p. 108574, Jul. 2024. doi: 10.1016/j.engappai.2024.108574

[55]

R. Liu, W. Dai, C. Wu, T. Wu, M. Wang, J. Zhou, X. Zhang, W. J. Li, and J. Liu, “Deep Learning-Based Microscopic Cell Detection Using Inverse Distance Transform and Auxiliary Counting,” IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 10, pp. 6092-6104, Oct. 2024, doi: 10.1109/JBHI.2024.3417229.

[54]

W. Dai, Z. Wu, R. Liu, T. Wu, M. Wang, J. Zhou, Z. Zhang, and J. Liu*, "Automated Non-Invasive Analysis of Motile Sperms Using Sperm Feature-Correlated Network," IEEE Transactions on Automation Science and Engineering, vol. 21, no. 3, pp. 1-11, May 2024, doi: 10.1109/TASE.2024.3404488

[53]

Y. Xiang, R. Liu, Z. Wei, X. Wang, W. Kang, M. Wang, J. Liu, X. Liang, and J. Zhang, "MINRob: A Large Force-Outputting Miniature Robot Based on a Triple-Magnet System," IEEE Transactions on Robotics, vol. 40, pp. 3127-3145, Jun. 2024, doi: 10.1109/TRO.2024.3410096.

[52]

W. Dai, T. Wu, R. Liu, M. Wang, and J. Liu*, "Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture," Neural Networks, vol. 176, Apr. 2024, doi: 10.1016/j.neunet.2024.106350.

[51]

K. Shang, T. Wu, X. Jin, Z. Zhang, C. Li, R. Liu, M. Wang, W. Dai, and J. Liu*, "Coaxiality prediction for aero-engines precision assembly based on geometric distribution error model and point cloud deep learning," Journal of Manufacturing Systems, vol. 71, pp. 681 - 694, Dec. 2023, doi: 10.1016/j.jmsy.2023.10.017. IF: 12.1

[50]

Z. Wei, Z. Li, Y. Xiang, J. Liu*, and J. Zhang*, "Magnetic Repulsion-Based Robot With Diverse Locomotion Capabilities," IEEE Robot. Autom. Lett., vol. 9, no. 1, pp. 398 - 405, Jan. 2024, doi: 10.1109/LRA.2023.3334557.

[49]

M. Wang, T. Wu, R. Liu, Z. Zhang, and J. Liu*, "Selective and Independent Control of Microrobots in a Magnetic Field," Engineering, 2023, doi: 10.1016/j.eng.2023.02.011.

[48]

W. Dai, R. Liu, T. Wu, M. Wang, J. Yin, and J. Liu*, "Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attention," IEEE Journal of Biomedical and Health Informatics, accepted, pp. 1 - 12, 2023, doi: 10.1109/JBHI.2023.3308697.

[47]

R. Liu, Y.D. Zhu, C. Wu, H. Guo, W. Dai, T. Wu, M. Wang, W.J. Li, J. Liu*, "Interactive Dual Network with Adaptive Density map for Automatic Cell Counting," IEEE Trans, Autom, Sci, Eng., accepted, pp. 1 - 13, 2023, doi: 10.1109/TASE.2023.3329973.

[46]

M. Wang, J. Zhang, R. Liu, T. Wu, W. Dai, R. Liu, J. Zhang, and J. Liu*, "Liquid Metal-Based Flexible Sensor for Perception of Force Magnitude, Location, and Contacting Orientation", IEEE Transactions on Instrumentation & Measurement, vol. 72, pp. 1 - 11, 2023, doi: 10.1109/ TIM.2023.3265759.

[45]

M. Zhu, J. Liao, J. Liu*, and Y. Yuan, "FedOSS: Federated Open Set Recognition via Inter-client Discrepancy and Collaboration," IEEE Transactions on Medical Imaging, vol. 43, no. 1, pp. 190-202, Jan. 2024, doi: 10.1109/TMI.2023.3294014.

[44]

R. Liu, W. Dai, T. Wu, M. Wang, S. Wan, and J. Liu*, "AIMIC: Deep Learning for Microscopic Image Classification," Computer Methods and Programs in Biomedicine, vol. 226, p. 107162, Nov. 2022, doi: 10.1016/j.cmpb.2022.107162.

[43]

S. Yuan, S. Cao, J. Xue, S. Su, J. Yan, M. Wang, W. Yue, S. S. Cheng, J. Liu, J. Wang, S. Song, M. Q. H. Meng, and H. Ren, "Versatile Motion Generation of Magnetic Origami Spring Robots in the Uniform Magnetic Field," IEEE Robotics & Automation Letters, vol. 7, no. 4, pp. 10486-10493, 2022.

[42]

X. Guo, Z. Chen, J. Liu*, and Y. Yuan*, "Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation," Medical Image Analysis, vol. 78, no. 102394, 2022.

[41]

X. Han, F. Lu, J. Yin, G. Tian, and J. Liu*, "Sign Language Recognition Based on R(2+1)D With Spatial-Temporal-Channel Attention," IEEE Transactions on Human-Machine Systems, vol. 52, no. 4, pp. 687-698, 2022.

[40]

J. Yin, Y. Wu, C. Zhu, Z. Yina, H. Liu, Y. Dang, Z. Liu, and J. Liu*, "Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos," IEEE Trans. Circuits Syst. Video Technol., pp. 1 - 1, 2021, doi: 10.1109/TCSVT.2021.3055220.

[39]

L. Hong, X. Wang, Z. Xiao, G. Zhang, and J. Liu*, "WSUIE: Weakly Supervised Underwater Image Enhancement for Improved Visual Perception," IEEE Robot. Autom. Lett., vol. 6, no. 4, pp. 8237 - 8244, Oct. 2021, doi: 10.1109/LRA.2021.3105144.

[38]

M. Wang, S. Song, J. Liu*, and M. Q.-H. Meng, "Multipoint Simultaneous Tracking of Wireless Capsule Endoscope Using Magnetic Sensor Array," IEEE Trans. Instrum. Meas., vol. 70, pp. 1 - 10, 2021, doi: 10.1109/TIM.2021.3075776.

[37]

R. Liu, M. Wang, M. Wang, J. Yin, Y. Yuan, and J. Liu*, "Automatic Microscopy Analysis with Transfer Learning for Classification of Human Sperm," Appl. Sci., vol. 11, no. 12, p. 5369, Jun. 2021, doi: 10.3390/app11125369.

[36]

S. Wan, J. Hu, and J. Liu*, "Anatomical or functional repair for ischemic mitral regurgitation: Find the right antidote!," J. Thorac. Cardiovasc. Surg., Feb. 2021, doi: 10.1016/j.jtcvs.2021.01.073.

[35]

X. Liu, J. Yin, J. Liu, P. Ding, J. Liu*, and H. Liu, "TrajectoryCNN: A New Spatio-Temporal Feature Learning Network for Human Motion Prediction," IEEE Trans. Circuits Syst. Video Technol., vol. 31, no. 6, pp. 2133 - 2146, Jun. 2021, doi: 10.1109/TCSVT.2020.3021409.

[34]

S.J. Jang, M. Torabinia, H. Dhrif, A. Caprio, J. Liu, S. C. Wong, and B. Mosadegh, "Development of a Hybrid Training Simulator for Structural Heart Disease Interventions", Advanced Intelligent Systems, DOI: 10.1002/aisy.202000109, 2020.

[33]

S. Wan and J. Liu, "Decode a ticking time-bomb," J. Thorac. Dis., vol. 12, no. 9, pp. 4598 - 4601, Sep. 2020, doi: 10.21037/jtd-2020-52.

[32]

S. Wan and J. Liu, "Strength at the cutting edge," J. Thorac. Cardiovasc. Surg., vol. 2, pp. 58 - 59, Jun. 2020, doi: 10.1016/j.xjtc.2020.02.008.

[31]

J. Liu, G. Singh, S. Al'Aref, B. Lee, O. Oleru, J. K. Min, S. Dunham, M. R. Sabuncu, B. Mosadegh. "Review of Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications" Advanced Intelligent Systems, 1900048, 2019. doi: 10.1002/aisy.201900048

[30]

J. Liu, S. Al'Aref, G. Singh, A. Caprio, A. A. Amiri Moghadam, S.J. Jang, S. Chiu Wong, J. K. Min, S. Dunham, B. Mosadegh. "An Augmented Reality System for Image Guidance of Percutaneous Cardiac Interventions" PLOS ONE 14(7), e0219174, 2019

[29]

J. Liu, Z.R. Zhang, X. Wang, H.J. Liu, Q.L. Zhao, Y. Sun, "Automated Robotic Measurement of 3D Cell Morphologies," IEEE Robotics & Automation Letters, vol. 2, no. 2, pp. 499-505, 2017

[28]

Z.R. Zhang*, J. Liu*, X. Wang, Q.L. Zhao, S.R. Xie, Y. Sun, "Robotic Pick-and-Place of Multiple Embryos for Vitrification", IEEE Robotics & Automation Letters, vol. 2, no. 2, pp. 570-576, Apr. 2016. (*Co-first author)

[27]

Z.R. Zhang, J. Liu*, J. Meriano, C.H. Ru, S.R. Xie, J. Luo, and Y. Sun, "Human sperm rheotaxis: a passive physical process," Scientific Reports, Vol. 6, article number: 23553, 2016. (*Co-first author)

[26]

J. Liu, J. Wen, Z.R. Zhang, H.J. Liu, and Y. Sun, "Voyage inside the Cell: Microsystems and Nanoengineering for Intracellular Manipulation and Characterization", NPJ. Microsystem & Nanoengineering, vol. 1, p. 15020, 2015.

[25]

J. Liu, C.Y. Shi, J. Wen, D.G. Pyne, H.J. Liu, C.H. Ru, S.R. Xie, Y. Sun, "Automated Vitrification of Embryos - A Robotics Approach," IEEE Robotics & Automation Magazine, vol. 22, pp. 33-40, 2015. (Featured Article)

[24]

J. Liu, V. Siragam, Z. Gong, J. Chen, M.D. Fridman, C. Leung, Z. Lu, C.H. Ru, S.R. Xie, J. Luo, R. Hamilton, and Y. Sun, "Robotic adherent cell injection (RACI) for characterizing cell-cell communication," IEEE Transactions on Biomedical Engineering, vol. 62, no. 1, pp. 119-24, 2015.

[23]

J. Liu, Z. Gong, K. Tang, Z. Lu, C. Ru, J. Luo, S. Xie, and Y. Sun, "Locating end-effector tips in robotic micromanipulation," IEEE Transactions on Robotics, Vol. 30, pp. 125-30, 2014.

[22]

J. Liu, V. Siragam, J. Chen, M.D. Fridman, R.M. Hamilton, and Y. Sun, "High-throughput measurement of gap junctional intercellular communication," American Journal of Physiology - Heart and Circulatory Physiology (AJP-Heart), Vol. 306, pp. H1708-13, 2014.

[21]

J. Liu, C. Leung, Z. Lu, and Y. Sun, "Quantitative analysis of locomotive behavior of human sperm head and tail," IEEE Transactions on Biomedical Engineering, Vol. 60, pp. 390-396, 2013.

[20]

J. Liu, C. Moraes, Z. Lu, C.A. Simmons, and Y. Sun, "Single cell deposition," Methods in Cell Biology, Vol. 112, pp. 403-420, 2012.

[19]

Z. Zhang, X. Wang, J. Liu, C. Dai, and Y. Sun, "Robotic Micromanipulation: Fundamentals and Applications," Annual Review of Control Robotics and Autonomous Systems, vol. 2, no. 1, p. annurev-control-053018- 023755, May 2019.

[18]

J. Yin, X. Liu, F.C. Fu, H. Liu, Z. Liu, B. Wang, J. Liu, Y. Yin, "One-Shot SADI-EPE: A Visual Framework of Event Progress Estimation," IEEE Trans. Circuits Syst. Video Technol., vol. 29, no. 6, pp. 1659 - 1671, Jun. 2019.

[17]

X. Wang, Q.L. Zhao, L. Wang, J. Liu, H.Y. Pu, S.R. Xie, C.H. Ru, and Y. Sun, "Effect of cell inner pressure on deposition volume in microinjection," Langmuir, vol. 34, no. 35, pp. 10287 - 92, 2018.

[16]

Z.R. Zhang, C.S. Dai, J. Huang, X. wang, J. Liu, C.H. Ru, H.Y. Pu, S.R. Xie, J.Y. Zhang, S. Moskovtsev, C. Librach, K. Jarvi, and Yu Sun, "Robotic immobilization of motile sperm for clinical intracytoplasmic sperm injection," IEEE Trans. Biomedical Engineering, vol. 66, no. 2, pp. 444-452, Feb. 2019

[15]

X. Wang, Z. Zhang, H. Tao, J. Liu, S. Hopyan, eta Y. Sun, Characterizing Inner Pressure and Stiffness of Trophoblast and Inner Cell Mass of Blastocysts�, Biophys. J., vol. 115, no. 12, pp. 2443 - 2450, Dec. 2018.

[14]

X. Wang, M. Luo, H. Wu, Z.R. Zhang, J. Liu, Z.S. Xu, W. Johnson, Y. Sun, "A 3D Magnetic Tweezer System for Intra-Embryonic Navigation and Measurement", IEEE Transaction on Robotics, Vol. 34, pp. 240-247, 2018.

[13]

W. Johnson, C. Dai, J. Liu, X. Wang, D. K. Luu, Z. Zhang, C. Ru, C. Zhou, M. Tan, H. Pu, S. Xie, Y. Peng, J. Luo, and Y. Sun, "A Flexure-Guided Piezo Drill for Penetrating the Zona Pellucida of Mammalian Oocytes," IEEE Trans. Biomed. Eng., vol. 65, no. 3, pp. 678 - 686, 2018, doi: 10.1109/TBME.2017.2713302.

[12]

C.Y. Shi, D.K. Luu, Q.M. Yang, J. Liu, J. Chen, C.H. Ru, S.R. Xie, Jun Luo, J. Ge, and Y. Sun, "Recent advances in nanorobotic manipulation inside scanning electron microscopes," Microsystems & Nanoengineering, Vol. 2, no. 16024, 2016.

[11]

J. Ge, S. Xie, Y. Wang, J. Liu, H. Zhang, B. Zhou, F. Weng, C. Zhou, M. Tan, and Y. Sun, "A system for automated detection of ampoule injection impurities", IEEE Transactions on Automation Science and Engineering, Vol. 14, No. 2, pp. 19-28, 2017. (Best New Application Award)

[10]

D.G. Pyne*, J. Liu*, M. Abdelgawad, and Y. Sun, "Digital microfluidic processing of mammalian embryos for vitrification," PLoS ONE, Vol. 9, No. 9, pp. e108128-14, 2014.

[9]

P. Sharma, C. Abbasi, S. Lazic, A.C. Teng, D. Wang, N. Dubois, V. Ignatchenko, V. Wong, J. Liu, T. Araki, M. Tiburcy, C. Ackerley, W. H. Zimmermann, R. Hamilton, Y. Sun, P. P. Liu, G. Keller, I. Stagljar, I. C. Scott, T. Kislinger, and A. O. Gramolini, "Evolutionarily conserved intercalated disc protein Tmem65 regulates cardiac conduction and connexin 43 function.," Nature Communications, vol. 6, p. 8391, 2015.

[8]

C. Ru, J. Liu, M. Pang, and Y. Sun, "Controlled ultrasonic micro-dissection of thin tissue sections," Biomedical Microdevices, vol. 16, no. 4, pp. 567 - 573, Aug. 2014.

[7]

Z. Gong, B.K. Chen, J. Liu, and Y. Sun, "Robotic probing of nano structures inside scanning electron microscopy," IEEE Trans. Robotics, Vol. 30, pp. 758-765, 2014.

[6]

J. Ge, Z. Gong, J. Chen, J. Liu, J. Nguyen, Z. Yang, C. Wang, and Y. Sun, "A System for Counting Fetal and Maternal Red Blood Cells," IEEE Transactions on Biomedical Engineering, vol. 61, no. 12, pp. 2823 - 2829, Dec. 2014.

[5]

Z. Gong, B.K Chen, J. Liu, C. Zhou, D. Anchel, X. Li, J. Ge, D.P. Bazett-Jones, and Y. Sun, "Fluorescence and SEM correlative microscopy for nanomanipulation of sub-cellular structures," Light: Science & Applications, vol. 3, no. September, pp. 1 - 7, 2014, doi: 10.1038/lsa.2014.105.

[4]

H.J. Liu, J. Wen, Y. Xiao, J. Liu, S. Hopyan, M. Radisic, C.A. Simmons, and Y. Sun, "In situ mechanical characterization of cell nucleus by atomic force microscopy," ACS Nano, Vol. 8, pp. 3821-8, 2014.

[3]

V. Siragam, X. Cui, S. Masse, C. Ackerley, S. Aafaqi, L. Strandberg, M. Tropak, M. D. Fridman, K. Nanthakumar, J. Liu, Y. Sun, B. Su, C. Wang, X. Liu, Y. Yan, A. Mendlowitz, and R. M. Hamilton, "Tmem43 mutation p.s358l alters intercalated disc protein expression and reduces conduction velocity in arrhythmogenic right ventricular cardiomyopathy," PLoS ONE, vol. 9, no. 10, pp. e109128, 2014.

[2]

B. Y. Song, G. H. Tian, J. Liu, F. Y. Zhou, and Y. R. Zhang, "Zigbee wireless sensor networks based detection and help system for elderly abnormal behaviors in service robot intelligent space," Applied Mechanics and Materials, vol. 48 - 49, pp. 1378 - 1382, 2011.

[1]

J. Liu, G. H. Tian, R. K. Li, X. K. Liu, "Human Machine Interface Based on Hand Gesture Recognition in Intelligent Space," Journal of Beijing Union University, Vol. 24, pp. 14-17, 2010.

Peer-reviewed Conference Papers

W.Dai, Z.Wu, J.Wang, R.Liu, M.Wang, T.Wu, J.Zhou, Z.Zhang, and J.Liu,“AutomatedNon- invasive Analysis of Motile Sperms Using Cross-scale Guidance Network,” in IEEE International Conference on Robotics and Automation. pp. 17708-17714, IEEE, 2024. (ICRA 2024)
W. Dai, Z. Wu, R. Liu, J. Zhou, M. Wang, T. Wu, and J. Liu, “SoSegFormer: A Cross-scale Feature Correlated Network for Small Medical Object Segmentation,” in IEEE International Symposium on Biomedical Imaging. pp. 1-4, IEEE, 2024. (ISBI 2024)
J. Zhou, R. Liu, M. Wang, T. Wu, W. Dai, X. Zhang, and J. Liu*, “SonicPlex: Simultaneous Arrangement of Massive Particles through a Simple Acoustic Micromanipulation Platform,” in 2023 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS), 2023, pp. 1–6.
J.Q. Yin, J. Liu, J.Y. Wang and J. Liu, Multi-task Learning Network for CT Whole Heart Segmentation, in 2023 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, Jul. 2023.
M. Wang, K. Y. Leung, R. Liu, S. Song, Y. Yuan, J. Yin, M. Q. H. Meng, and J. Liu, “Dynamic tracking for microrobot with active magnetic sensor array,” in 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 7288-7294, Xi'an, China, 2021.
C. Qi, J. Yin, H. Liu, and J. Liu, “Neighborhood Spatial Aggregation based Efficient Uncertainty Estimation for Point Cloud Semantic Segmentation,” in 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 14025-14031, Xi'an, China, 2021.
Y. Dang, F. Yang, B. Su, J. Yin, and J. Liu, “DBNet : A New Generalized Structure Efficient for Classification”, in 2019 IEEE International Conference on Robotics and Biomimetics, ROBIO, pp. 2169-2174, Dali, China, 2019.
S. J. Jang, J. Liu, G. Singh, Al’Aref, A. Caprio, A. A. Moghadam, S. C. Wong, J. Min, S. Dunham and B. Mosadegh, "Augmented Reality Guidance for Transcatheter Septal Puncture Procedure in Structural Heart Interventions", American Heart Association Scientific Sessions 2019, Philadelphia, United States, Nov. 16-18, 2019.
J. Liu, G. Singh, S.J. Al'Aref, A. Caprio, J.K. Min, S. Dunham, and B. Mosadegh, “Registration of Fluoroscopy and CT Images for Augmented Reality Assisted Percutaneous Cardiac Interventions”, in Proceedings of the 40th International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, U.S., 2018.
Z.R. Zhang, C.S. Dai, J. Huang, X. Wang, J. Liu, J.Y. Zhang, S. Moskovtsev, C. Librach, K. Jarvi, and Y Sun, “Robotic Immobilization of Motile Sperm”, in 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 1-6, Queensland, Australia, 2018.
X. Wang, M. Luo, H. Wu, Z.R. Zhang, J. Liu, Z.S. Xu, W. Johnson, Y. Sun, “Three-Dimensional Robotic Control of a 5-Micrometer Magnetic Bead for Intra-Embryonic Navigation and Measurement”, in 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 1-6, Singapore, 2017.
J. Liu, Z. Zhang, H. Tao, J. Ge, H. Liu, J. Wen, S. Hopyan, S. Xie, and Y. Sun, “Robotic Fluidic Jet for Automated Cellular and Intracellular Mechanical Characterization,” in 2016 IEEE International Conference on Information and Automation (ICIA), pp. 1-6, Ningbo, China, 2016. (Gaitech Best Paper in Robotics Award)
Z. Zhang, J. Liu, J. Meriano, C. Ru, S. Xie, J. Luo, and Y. Sun, “An automated system for investigating sperm orientation in fluid flow,” in 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 3661–3666, Stockholm, 2016.
J. Liu, Chaoyang Shi, Jun Wen, D. Pyne, Haijiao Liu, C. Ru, and Y. Sun, “Automated robotic vitrification of embryos,” in 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 2685–2690, Seattle, US, 2015.
Jun Wen*, J. Liu*, K. Lau, Haijiao Liu, S. Hopyan, and Y. Sun, “Automated micro-aspiration of mouse embryo limb bud tissue,” in 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 2667–2672, Seattle, US, 2015. (*Authors contributed equally)
J. Liu, V. Siragam, Z. Gong, J. Chen, C. Leung, Z. Lu, C. H. Ru, S. R. Xie, J. Luo, R. Hamilton, and Y. Sun, “Automated microrobotic characterization of cell-cell communication,” in 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 469–474, Hong Kong, 2014. (Best Student Paper Award Winner & Best Manipulation Paper Award Finalist)
J. Ge, Z. Gong, J. Chen, J. Liu, J. Nguyen, Z. Y. Yang, C. Wang, and Y. Sun, “A system for automated counting of fetal and maternal red blood cells in clinical KB test,” in 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 1706–1711, Hong Kong, 2014. (Best Medical Robotics Paper Finalist)
Z. Gong, B. K. Chen, J. Liu, C. Zhou, D. Anchel, X. Li, D. P. Bazett-Jones, and Y. Sun, “Correlative microscopy for nanomanipulation of sub-cellular structures,” in 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 5209–5214, Hong Kong, 2014.
D. G. Pyne*, J. Liu*, M. Abdelgawad, and Y. Sun, “Automated vitrification of mammalian embryos on a digital microfluidic device,” in 2014 IEEE 27th International Conference on Micro Electro Mechanical Systems (MEMS), pp. 829–832, 2014. (*Authors contributed equally)
J. Liu, Z. Gong, K. Tang, Z. Lu, and Y. Sun, “Locating end-effector tips in automated micromanipulation,” in 2013 IEEE International Conference on Robotics and Automation, pp. 1724–1729, Karlsruhe, Germany, 2013. (Nominated for Best Student Paper Award)
Z. Gong, B. K. Chen, J. Liu, and Y. Sun, “Automated nanoprobing under scanning electron microscopy,” in 2013 IEEE International Conference on Robotics and Automation, pp. 1433–1438. Karlsruhe, Germany, 2013.
H. Liu, J. Wen, J. Liu, S. Hopyan, C. Simmons, and Y. Sun, “Mechanical characterization of cancer cell nuclei in situ,” in the 9th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), pp. 669–673, Hawaii, US, 2014.
L. MacQueen, Z. Gong, B.K. Chen, J. Liu, H.J. Liu, C.A. Simmons, and Y. Sun, "Natural leaf replicas to study cell contact guidance," The 17th International Conf. on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), Freiburg, Germany, Oct. 27-31, 2013.
J. Liu, C. Leung, Z. Lu, and Y. Sun, "Analyzing sperm velocity and tail behavior for automated sperm selection," 13th International Symposium on Experimental Robotics (ISER), 2012.

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