Current Members

Zhao Wang
Ph.D. student (2021 - )
B.E. ZJU
Shizhan Gong
Ph.D. student (2022 - )
B.E. Tsinghua - M.Sc. NYU
(co-advise with Prof. Farzan Farnia)
Chengkun Li
Ph.D. student (2022 - )
B.E. Beihang - M.Sc. UCL
(co-advise with Prof. Jason Chan)
Yuan Zhong
Ph.D. student (2022 - )
B.E. WHU
(co-advise with Prof. Tiffany So)
Yueyao Chen
Ph.D. student (2023 - )
B.E. NEU - M.Sc. CUHK
(co-advise with Prof. Hon Chi Yip)
Zheng Han
Ph.D. student (2023 - )
B.E. XDU - M.S. XDU
Yiyao Ma
Ph.D. student (2023 - )
B.E. Beihang
Jiawei Fu
PhD. student (2024 - )
B.E. NWPU - M.S. XJTU
Kejian Shi
PhD. student (2024 - )
B.E. UCL - M.S. ICL
Lei Song
PhD. student (2024 - )
B.E. ZJU
Zhenya Yang
M.Phil. student (2024 - )
B.E. HUST
Jianxun Yu
PhD. student (2024 - )
B.E. UJN - M.S. PolyU
(co-advise with Prof. Winnie Chu)
Dr. Tiantian Zhang
Post-doc fellow
Ph.D. CityU (2023)
Dr. Xiaogen Zhou
Post-doc fellow
Ph.D. FZU (2023)
Dr. Mengya Xu
Post-doc fellow
Ph.D. NUS (2024)
Dr. Qi He
Post-doc fellow
Ph.D. Tianjin Univ. (2024)
Dr. Hongyu Wang
Post-doc fellow
Ph.D. NWPU (2024)
Dr. Kai Chen
Post-doc fellow
Ph.D. CUHK (2024)
Dr. Meirui Jiang
Post-doc fellow
Ph.D. CUHK (2024)
Dr. Yonghao Long
Post-doc fellow
Ph.D. CUHK (2024)
Wang Wei
Research assistant
B.E. CUHK
Fengyue Guo
Research assistant
B.E. UJN - M.S. SDU


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Openings (all year round)

Postdoctoral Fellow / Research Associate

Multiple positions are open to apply for being involved in projects on machine learning for medical image analysis. Specific responsibilities and requirements are as follows:

  1. Coordinate a multidisciplinary team of engineering researchers and clinical collaborators for the development of smart medical image diagnosis, detection, segmentation, prognosis, and clinical decision-making systems.
  2. Develop cutting-edge ML methods in terms of model generalizability, robustness, interpretability, and human-in-the-loop test-time mechanisms for smart healthcare systems.
  3. Generate high-quality papers to be published in top-tier conferences and high-impact journals.
  4. Require a Ph.D. with a good publication record in medical imaging, computer vision, AI/ML, statistics, or other related fields.
  5. Experience in multi-modal learning, image segmentation, causality, and/or data-efficient learning are preferred.
  6. Experience in processing medical endoscopy/MRI/CT/Ultrasound images is preferred.
  7. Employment contract can be flexible and up to 3 years.

Two positions are open to apply for being involved in a project on robotic surgery intelligence. Specific responsibilities and requirements are as follows:

  1. Work together with experts of computer scientists, surgeons, roboticists to develop a novel AI+XR system to change the way of robotic surgery education, in terms of how novices perceive, visualize and interact with surgical robots during training.
  2. Develop image-based robotic surgery perception, stereo reconstruction, reinforcement learning and planning techniques, and integrate them into visualization HMD, haptic devices and/or robotic platforms for evaluation and demos.
  3. Generate high-quality papers to be published in top-tier conferences and high-impact journals.
  4. Require a Ph.D. with a good publication record in medical imaging, computer graphics, human-computer interaction, surgical robotics, or other related fields.
  5. Experience in augmented reality, virtual reality, simulation, visualization system integration and development are preferred.
  6. Experience working with Unity, Bullet, SOFA, Omniverse, OpenGL, TCP, UDP Socket and other relevant tools are preferred.
  7. Employment contract can be flexible and up to 3 years.

Two positions are open to apply for being involved in a project on robotic vision and learning-based automation.

Specific responsibilities and requirements are as follows:

  1. Work together with local and international experts of computer scientists and roboticists to explore learning-based robotic perception and automation for applications including but not limited to surgical robots.
  2. Explore solutions for defined novel research problems and create cool demos.
  3. Generate high-quality papers to be published in top-tier conferences and high-impact journals.
  4. Require a Ph.D. with a good publication record in robotic vision and learning, mechanical and automation engineering, or other related fields.
  5. Experience in RL, imitation learning, sim2real transfer, 6D pose estimation, path planning are preferred.
  6. Employment contract can be flexible and up to 3 years.

Research Assistant

Multiple RA positions are available for all the above projects. Specific responsibilities and requirements are as follows:

  1. Work together with senior team members on research and development projects on AI for medical imaging and robotics.
  2. Collect and process relevant data, deploy AI algorithms for inference, integrate systems for testing and demo.
  3. Generate high-quality papers to be published in top-tier conferences and high-impact journals.
  4. Require excellent communication skills and proficient in at least one programming language.
  5. Employment contract can be flexible and up to 2 years.


Alumnus

PhD students:

  • Quande Liu (2022 PhD, co-advise with Prof. Heng PA), CUHK Young Scholars Thesis Award 2022, Current: Tencent
  • Cheng Chen (2021 PhD, co-advise with Prof. Heng PA), Current: Post-doc at HMS
  • Xiaojie Gao (2021 PhD, co-advise with Prof. Heng PA), Current: Post-doc at Hong Kong Centre for Logistics Robotics
  • Xueying Shi (2021 PhD, co-advise with Prof. Heng PA), Current: Huawei
  • Interns and RAs:

  • Jiaqi Liu (2023 RA), B.E. at SJTU - M.S. at SJTU - Ph.D. at U. of Trento -
  • Yuliang Xiao (2023 RA), B.E. at Pitt & SCU - M.S. JHU - Ph.D. at U. of Toronto -
  • Chong Tong Chow (2022 summer intern), B.E. at PKU -
  • Qimei Wang (2022 summer intern), B.E. at HUST -
  • Weiliang Zhao (2022 summer intern), B.E. at BUAA -
  • Luliang Zhong (2022 summer intern), B.E. at BUAA -
  • Zhuoyang Zou (2022 RA), B.E. at CUHK - M.S at Northwestern University -
  • Zihao Chen (2021 summer intern), B.E. at SJTU - Ph.D. at Duke (ECE) -
  • Penghui Du (2021 summer intern), B.E. at BUAA - M.S. at BUAA (AI) -
  • Yunshuang Li (2021 summer intern), B.E. at ZJU - M.Se. at Upenn (Robotics) -
  • Zirui Wang (2021 summer intern), B.E. at BUAA - M.Sc. at CUHK (IE) -
  • Yedi Zhang (2021 summer intern), B.E. at HUST - Ph.D. at UCL (ML) -
  • Junming Chen (2020 RA), B.E. at WHU - M.Phil. at HKUST (CSE) - Ph.D. at HKUST (CSE) -
  • Xiaoyang Zou (2020 summer intern), B.E. at HUST - Ph.D. at SJTU (Institute of Medical Robotics) -

  • (alphabetical order)

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