I am a Ph.D. student at Department of Electronic Engineering, The Chinese University of Hong Kong, advised by Prof. Hongliang Ren. I collaborate closely with Long Bai at our MEDICAL MECHATRONICS Lab. Previously, I received the M. Sc. degree in Department of Electronic Engineering from The Chinese University of Hong Kong in 2023, advised by Prof. Hongliang Ren. I also received my Bachelor degree in Automation at College of Mechatronics and Control Engineering, Shenzhen University, advised by Prof. Xiaopin Zhong.

My research interests include computer vision and its applications in medical image analysis and surgical robotic perception. I recently work on large vision-language models and downstream surgical robot control.

🔥 News

2024.11: 🎉🎉 One paper TSUBF-Net is accepted by Neural Computing and Applications (IF: 4.8).
2024.08: 🎉🎉 One paper Surgical-VQLA++ is accepted by Information Fusion (IF: 14.7).
2024.05: 🎉🎉 Our poster on surgical instrument tracking receives the Best Poster Award in ICRA 2024 C4SR+ Workshop!
2024.03: 🎉🎉 I receive the offer from CUHK Graduate School for CUHK-HUAWEI Joint PhD Program!
2024.02: 🎉🎉 Our work “EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis” is accepted by ISBI 2024!
2024.01: 🎉🎉 Our work “OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery” is accepted by ICRA 2024!
2024.01: 🎉🎉 Our work “Mask focal loss: a unifying framework for dense crowd counting with canonical object detection networks” has been published on Multimedia Tools and Applications!

📝 Selected Publications [Find full list at Google Scholar]

† indicates equal contribution; * represents the corresponding authors.

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 (IF), 2024. (IF: 14.7)
Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery
Long Bai†, Guankun Wang†, Jie Wang, Xiaoxiao Yang, Huxin Gao, Xin Liang, An Wang, Mobarakol Islam, Hongliang Ren*
IEEE International Conference on Robotics and Automation (ICRA 2024). (CCF-B)
Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis
Qiaozhi Tan†, Long Bai†, Guankun Wang†, Mobarakol Islam, Hongliang Ren*
IEEE International Symposium on Biomedical Imaging (ISBI 2024).
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay
Guankun Wang†, Long Bai†, Yanan Wu, Tong Chen, Hongliang Ren*
Computers in Biology and Medicine (CBM), 2023.
Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs
Guankun Wang, Tian-Ao Ren, Jiewen Lai, Long Bai, and Hongliang Ren
Medical & Biological Engineering & Computing (MBEC), 2023.
Sim-to-Real Segmentation in Robot-assisted Transoral Tracheal Intubation
Guankun Wang, Tian-Ao Ren, Jiewen Lai, Long Bai, Hongliang Ren*
IEEE International Conference on Robotics and Automation (ICRA 2023), Workshop on New Evolutions in Surgical Robotics.
Best Poster Award
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
Xiaopin Zhong, Guankun Wang, Weixiang Liu*, Zongze Wu, Yuanlong Deng
Multimedia Tools and Applications (MTAP), Accepted, 2023.
An Improved FairMOT Method for Crowd Tracking and Counting in Subway Passages
Guankun Wang, Yongze Yang, Xiaopin Zhong*, Yang Yang
IEEE International Conference on Intelligent Transportation Engineering (ICITE 2021).
Best Student Paper Award

🎖 Selected Awards

2024.05 Best Poster Award of ICRA 2024 C4SR+ Workshop
2023.11 HAMEN FAN SCHOLARSHIP for M.Sc.in ELECTRONIC ENGINEERING
2023.11 Dean’s List 2022-2023
2023.07 Best Poster Award at ICRA 2023 Workshop
2022.10 Department Admission Scholarship
2022.07 Outstanding Graduate Student

📖 Educations

2024.08 - 2028.07, Ph.D., Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
2022.09 - 2023.07, M.Sc., Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
2018.09 - 2022.07, B.Eng., Automation, Shenzhen University, Shenzhen, China

💻 Work Experience

2023.09 - 2024.07, [Junior Research Assistant] Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong. Supervised by Prof. Hongliang Ren.
2021.07 - 2021.12, [Application Engineer Intern] Research and Development Department, DAS Intelligence, Shenzhen, China.

💬 Professional Services