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 focuses on efficient & robust medical image analysis and intelligent robotic surgery. I am recently interested in Visual Foundation Models, Multi-modal LLM, and Embodied AI. I am always open to discussions and collaborations, so please feel free to reach out to me via email if you have any questions or would like to explore potential collaborations.

🔥 News

  • 2025.06: One paper on semi-supervised polyp segmentation is accepted by Computerized Medical Imaging and Graphics (CMIG).
  • 2025.03: Two papers on ESD Dissection Trajectory Prediction and Dissection Zone Segmentation are accepted at ICRA 2025 and IPCAI 2025, respectively.
  • 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

Full list.

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

arxiv | Springer | code


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

arxiv | website | code | demo


MICCAI-2023
sym

S$^2$ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

An Wang*, Mengya Xu, Yang Zhang, Mobarakol Islam, and Hongliang Ren**

MICCAI-2023 Early Accepted (Top 14% among 2253 submissions).

arXiv | code | poster | video | ppt

IROS-2023
sym

Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis

An Wang*, Mobarakol Islam*, Mengya Xu, and Hongliang Ren**

IROS-2023

arXiv | code | poster | video | ppt

MICCAI-2022
sym

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

An Wang*, Mobarakol Islam*, Mengya Xu, and Hongliang Ren**

MICCAI-2022

arXiv | Springer | code | ppt | poster | video

MedAGI Workshop
sym

SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

An Wang*, Mobarakol Islam*, Mengya Xu, Yang Zhang, and Hongliang Ren**

Oral, MICCAI 2023 1st International Workshop on Foundation Models for General Medical AI.

arXiv | poster | ppt

Journal Papers

CMIG
sym

PedSemiSeg: Pedagogy-inspired semi-supervised polyp segmentation

An Wang, Haoyu Ma, Long Bai, Yanan Wu, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren**

Computerized Medical Imaging and Graphics (CMIG) 2025

Paper | code

IEEE T-ASE
sym

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

An Wang*, Mobarakol Islam*, Mengya Xu*, and Hongliang Ren**

IEEE Transactions on Automation Science and Engineering (T-ASE) 2023

arXiv | IEEE | code

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

arxiv

Endo-TTAP: Robust Endoscopic Tissue Tracking via Multi-Facet Guided Attention and Hybrid Flow-point Supervision

Rulin Zhou*, Wenlong He*, An Wang*, Qiqi Yao, Haijun Hu, Jiankun Wang, Xi Zhang and Hongliang Ren**

IEEE RAL (In submission)

VL-SurgPT: Bridging Vision and Language for Robust Surgical Point Tracking

Rulin Zhou*, Wenlong He*, An Wang*, Xuanhui Zeng, Jianhang Zhang, Xi Zhang, Chaowei Zhu, Haijun Hu**, and Hongliang Ren**

ACM MM Dataset (Under Review)

EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control

An Wang*, Rulin Zhou*, Mengya Xu*, Yiru Ye, Longfei Gou, Yiting Chang, Hao Chen, Chwee Ming Lim, Jiankun Wang, Hongliang Ren**

Medical Image Analysis (Under Review)

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