I am currently a 4th year (2021-) Ph.D. candidate at Robotics, Embodied AI, and Navigation In-vivo Lab, Department of Electronic Engineering, The Chinese University of Hong Kong, supervised by Prof. Hongliang Ren. Previously, I was an Embedded Software Engineer at Continental Automotive in Singapore. Before that, I worked with Prof. Chengkuo Lee in the Department of Electrical and Computer Engineering, National University of Singapore and received my M.Sc. degree in 2019. From 2014 to 2018, I studied at Soochow University and received B.Eng. degree in Information Engineering.
My research interests include efficient & robust medical image analysis and intelligent robotic surgery. I am recently interested in the visual/multi-modal foundation models. I am always open to discussions and collaborations, so please don’t hesitate to contact me via email if you have any inquiries or would like to explore potential collaborative opportunities.
🔥 News
- 2024.10: Two papers on vision-guided robotic surgery have been accepted at IEEE ROBIO 2024.
- 2024.08: One paper “Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data” has been accepted at the Simulation and Synthesis in Medical Imaging (SASHIMI) workshop at MICCAI 2024.
- 2023.08: Our paper “SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation” has been accepted as an Oral Presentation at the MedAGI workshop, MICCAI 2023.
- 2023.06: Our paper “Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis” is accepted by IROS-2023.
- 2023.06: One paper about robust medical image segmentation is accepted by IEEE Transactions on Automation Science and Engineering.
- 2023.05: One paper about annotation-efficient polyp segmentation was early accepted by MICCAI-2023.
- 2022.06: One paper about synthetic data generation from limited sources is accepted by MICCAI-2022.
📝 Publications
*: First author; **: Corresponding author
Conference Papers
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data
An Wang*, Haochen Yin, Beilei Cui, Mengya Xu, and Hongliang Ren**
MICCAI 2024 Simulation and Synthesis in Medical Imaging (SASHIMI) Workshop
Endodac: Efficient adapting foundation model for self-supervised depth estimation from any endoscopic camera
Beilei Cui, Mobarakol Islam, Long Bai, An Wang, Hongliang Ren
A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery
Mengya Xu, Ziqi Guo, An Wang, Long Bai, Hongliang Ren
MICCAI 2024 Embodied AI and Robotics for HealTHcare (EARTH) Workshop
Web-based Augmented Reality with Auto-Scaling and Real-Time Head Tracking towards Markerless Neurointerventional Preoperative Planning and Training of Head-mounted Robotic Needle Insertion
Hon Lung Ho*, Yupeng Wang*, An Wang*, Long Bai, and Hongliang Ren**
IEEE ROBIO 2024
Journal Papers
Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery
Long Bai, Guankun Wang, Mobarakol Islam, Lalithkumar Seenivasan, An Wang, Hongliang Ren
Information Fusion, 2024 paper | code
Preprints
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
Jieming Yu, An Wang, Wenzhen Dong, Mengya Xu, Mobarakol Islam, Jie Wang, Long Bai, Hongliang Ren
Book Chapter
3D Reconstruction of Deformable Tissues in Robotic Surgery
Mengya Xu, Tiebing Tang, Ziqi Guo, An Wang, Beilei Cui, Long Bai, Hongliang Ren
Handbook of Robotic Surgery, 2024
🎖 Honors and Awards
- 2024.09, SUSTech Fellowship
- 2018.06, Excellent Graduate of Soochow University
📖 Educations
- 2021.10 - now, Ph.D. Candidate, Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
- 2018.08 - 2019.06, M.Sc., Electrical Engineering, National University of Singapore, Singapore
- 2014.09 - 2018.06, B.Eng., Information Engineering, Soochow University, Suzhou, China
💻 Teaching Assistant
- Embedded Systems Design, 2024.09 - 2024.12
- Intelligent Interactive Robot Practice, 2024.01 - 2024.05
- Intelligent Wearable Electronics, 2023.01 - 2023.05
- Probability for Engineers, 2021.09 - 2021.12, 2022.09 - 2022.12, 2023.09 - 2023.12
- Robotic Perception and Intelligence, 2022.01 - 2022.05