About Me
I’m an PhD candidate under the supervision of Professor Jun Liu and Professor Steven Wang at the Centre for Robotics and Automation of CityU. Additionally, I collaborate with Prof. Yixuan Yuan, Prof. Jianqin Yin and Prof. Zhuoran Zhang. I am also affiliated with the Automation & Intelligent Robot Lab (AIRLab). Previously, I received my B.Eng. in Mechanical Engineering from the South China University of Technology, where I worked with Professor Zhenping Wan.
My Research interests lie at the intersection medical image analysis, computer vision, and deep learning. My goal is to develop innovative and intelligent systems that facilitate efficient and high-quality medical diagnoses and interventions. Recently, my focus has been on analysing small medical objects to aid in the early diagnosis of diseases. I am also intrigued by label-efficient deep learning solutions, such as data augmentation in self-supervised learning and domain adaptation, to create reliable and effective intelligent systems.
Recent Work
SvANet: Early detection of mild syndromes is crucial for effective patient treatment. We have proposed a novel framework to examine infected areas with an area ratio of less than 1%. Check out the open-access publication, code, and data at the links below!
Latest Updates
- 10/2024: Submitted a paper to JBHI.
- 09/2024: Submitted a paper to TNNLS.
- 08/2024: A paper was accepted to EAAI.
- 07/2024: A paper on cell detection using density map was accepted to IEEE JBHI.
- 06/2024: A paper on non-invasive sperm analysis was accpeted to IEEE TASE.
- 06/2024: Presented a poster at ISBI2024 in Athens, Greece.
- 06/2024: Gave an oral presentation at ICRA2024 in Yokohama, Japan.
- 04/2024: A paper on self-supervised learning was accpeted to Neural Networks.
- 03/2024: A paper on cell counting was accpeted to IEEE TASE.
- 02/2024: A paper was accpeted to ISBI2024.
- 01/2024: A paper was accpeted to ICRA2024.
- 08/2023: A paper on light-weight transformer for skin cancer detection was accpeted to IEEE JBHI.