Long Bai Ph.D. Candidate Department of Electronic Engineering The Chinese University of Hong Kong Office: Room 424, Ho Sin-Hang Engineering Building, CUHK, Shatin, N.T., Hong Kong Email: b.long AT link.cuhk.edu.hk

Biography

I am a Ph.D. candidate at Department of Electronic Engineering, The Chinese University of Hong Kong, advised by Prof. Hongliang Ren and Prof. Jiewen Lai. I also work closely with Dr. Mobarakol Islam at WEISS Centre, University College London. Previously, I received the B. Sc. degree in Opto-Electronics Information Science and Engineering from Beijing Institute of Technology in 2021, advised by Prof. Kun Gao. I was also an undergraduate research intern at Department of Electrical and Computer Engineering, University of Miami, working with Prof. Mohamed Abdel-Mottaleb.

My research interests include artificial intelligence and its applications in medical image computing, robotic perception, and surgical data science. I recently work on large vision-language models and low-level vision.

News

Selected Publications [Find full list at Google Scholar]

• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
  Yiming Huang†, Beilei Cui†, Long Bai†, Ziqi Guo, Mengya Xu, Hongliang Ren
  Preprint, 2024.
  
• Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
  Mengya Xu†, Mobarakol Islam†, Long Bai, Hongliang Ren
  IEEE Transactions on Medical Imaging (TMI), 2024.
  

[Code]

• EndoOOD: 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 (IBSI), 2024.
  
• OSSAR: 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.
  (IEEE RAS Travel Grant Award)
  

[Code]

• Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery
  Beilei Cui†, Mobarakol Islam†, Long Bai, Hongliang Ren
  International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), 2024.
  

[Code]

• 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.
  
• Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
  Jie Wang, Lihe Ding, Tingfa Xu, Shaocong Dong, Xinli Xu, Long Bai, Jianan Li
  International Conference on Computer Vision (ICCV), 2023.
  

[Code]

• LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
  Long Bai†, Tong Chen†, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
  (Oral, Top 3%)
  

[Code]

• CAT-ViL: Co-Attention Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery
  Long Bai†, Mobarakol Islam†, Hongliang Ren
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
  

[Code]

• Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery
  Long Bai†, Mobarakol Islam†, Hongliang Ren
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
  

[Code]

• Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
  Tianhang Liu, Hechen Li, Long Bai, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren
  International Conference on Biomimetic Intelligence and Robotics & Medical Robotics Forum (ICBIR), 2023.
  (Best Student Paper Award)
  

[Code]

• Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Towards Robot-assisted Intubation
  Guankun Wang, Tian-Ao Ren, Jiewen Lai, Long Bai, Hongliang Ren
  IEEE ICRA Workshop on New Evolutions in Surgical Robotics , 2023.
  (Best Poster Award)
  

[Dataset]

• Surgical-VQLA: Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery
  Long Bai†, Mobarakol Islam†, Lalithkumar Seenivasan, Hongliang Ren
  IEEE International Conference on Robotics and Automation (ICRA), 2023.
  (IEEE RAS Travel Grant Award)
  

[Code]

† indicates equal contribution; * indicates corresponding authorship.

Selected Awards

2024, IEEE ICRA RAS Travel Grants Award

2023, ICBIR Best Student Paper Award

2023, Best Poster Award of IEEE ICRA Workshop on Surgical Robotics

2023, IEEE ICRA RAS Travel Grants Award

2021, Merit Award of EMedIC Global

2021-2025, CUHK Vice-Chancellor's Ph.D. Scholarship Scheme

Professional Services

Regular Conference Reviewer:
MICCAI, ICRA, IROS, IPCAI, CHI, VR, CSCW, ETRA, IUI

Regular Journal Reviewer:
IEEE TMI, IEEE TCSVT, IEEE TIM, IEEE RAL, IEEE OJIM, IEEE Sensors Journal, Information Fusion, Information Sciences, MBEC, JSCE, JMRR

Selected Talks

Surgical Visual Question Localized-Answering.
Pre-ICRA Online, May. 2023.

Lifelong Learning: Background, Methodology and Applications.
Hong Kong University of Science and Technology (HKUST), Oct. 2022.

Teaching

Teaching Assistant:

2023-2024	Spring	ELEG5600	Advanced Perception for Intelligent Robotics
2023-2024	Fall	ENGG2760	Probability for Engineers
2022-2023	Spring	ELEG5757	Intelligent Wearable Electronics
2022-2023	Fall	ENGG2760	Probability for Engineers
2021-2022	Spring	ELEG3201	Microelectronic Devices and Circuits
2021-2022	Fall	ENGG2760	Probability for Engineers

Mentees:

Qiaozhi Tan (Intern 2023-2024)	-> Incoming Ph.D. Student, CityU HK
Tianhang Liu (CUHK M.Sc. 2022-2023)	-> R&D, ASTRI HK
Guankun Wang (Intern 2022-2023)	-> Ph.D. Student, CUHK
Yuanhao Zhao (CUHK M.Sc. 2021-2022)	-> R&D, Samsung China
Liangyu Wang (CUHK M.Sc. 2021-2022)	-> Ph.D. Student, KAUST
Tong Chen (Intern 2021-2022)	-> M.Phil. Student, USYD

© Long Bai | Last updated: Mar 2024