Scholar
An Wang
Google Scholar ID: NYWnE6QAAAAJ
The Chinese University of Hong Kong
Citations & Impact
Citations
381
H-index
10
i10-index
10
Publications
20
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- - 2025.06: One paper on semi-supervised polyp segmentation accepted by Computerized Medical Imaging and Graphics (CMIG)
- - 2025.03: Two papers on ESD Dissection Trajectory Prediction and Dissection Zone Segmentation accepted at ICRA 2025 and IPCAI 2025, respectively
- - 2024.10: Two papers on vision-guided robotic surgery accepted at IEEE ROBIO 2024
- - 2024.08: One paper on Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data accepted at the SASHIMI workshop at MICCAI 2024
- - 2023.08: One paper 'SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation' accepted as an Oral Presentation at the MedAGI workshop, MICCAI 2023
- - 2023.06: One paper 'Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis' accepted by IROS-2023
- - 2023.06: One paper about robust medical image segmentation accepted by IEEE Transactions on Automation Science and Engineering
- - 2023.05: One paper about annotation-efficient polyp segmentation early accepted by MICCAI-2023
- - 2022.06: One paper about synthetic data generation from limited sources accepted by MICCAI-2022
Research Experience
- - Currently a researcher at the Robotics, Embodied AI, and Navigation In-vivo Lab, The Chinese University of Hong Kong
- - Former Embedded Software Engineer at Continental Automotive in Singapore
- - Worked with Prof. Chengkuo Lee at the Department of Electrical and Computer Engineering, National University of Singapore
Education
- - 2021-present: Ph.D. candidate at the Department of Electronic Engineering, The Chinese University of Hong Kong, supervised by Prof. Hongliang Ren
- - 2019: M.Sc. in Electrical and Computer Engineering, National University of Singapore, supervised by Prof. Chengkuo Lee
- - 2014-2018: B.Eng. in Information Engineering, Soochow University
Background
- - Research Interests: Efficient & robust medical image analysis and intelligent robotic surgery
- - Recent Interests: Visual Foundation Models, Multi-modal LLM, and Embodied AI
Miscellany
- Open to discussions and collaborations, feel free to reach out via email
