Long Chen
I work on AI and computational imaging, with a particular focus on Robust AI, Efficient & Sustainable AI, and Trustworthy AI. My research focuses on developing robust, efficient, and trustworthy AI models for challenging real-world scenarios.
Bio
I am currently a researcher at Imperial College London, working with Prof. Declan O’Regan and Prof. Wenjia Bai. Before joining Imperial, I was a Research Fellow at University College London with Dr Thomas Dowrick and Prof. Matt Clarkson, and a member of the UCL WEISS Centre, led by Prof. Danail Stoyanov. I completed my PhD at the University of Leicester under the supervision of Prof. Huiyu Zhou and Prof. Junyu Dong. My research interests lie in AI and computational imaging, with a particular focus on Robust AI, Efficient & Sustainable AI, and Trustworthy AI.
Research Interests
My research interests lie in AI and computational imaging, with a particular focus on Robust AI, Efficient & Sustainable AI, and Trustworthy AI.
Robust AI
Robust Visual Perception: Develops AI models that maintain reliable performance under challenging real-world conditions, including image degradation, noise, and distribution shifts, with applications in underwater vision, medical imaging, and autonomous perception.
Underwater Vision and Robotics: Develops robust visual perception and intelligent robotic systems for underwater inspection, navigation, and autonomous operation, with a focus on object detection, scene understanding, and perception-driven decision-making in complex marine environments.
Efficient & Sustainable AI
Brain-Inspired Computing: Focuses on biologically inspired and sparsely activated neural computation, particularly Spiking Neural Networks (SNNs). By addressing the growing energy consumption of large-scale AI models, particularly LLMs, SNNs offer a promising pathway toward energy-efficient and sustainable AI, enabling low-power learning and inference.
Efficient AI for Robotics: Develops pruning, compression, knowledge distillation, lightweight neural architectures, and Spiking Neural Networks to enable efficient and deployable AI for robotics, UAVs, AUVs, and other resource-constrained platforms.
Trustworthy AI
Trustworthy AI for Healthcare: Develops reliable and clinically meaningful AI models for healthcare applications, with a particular focus on cardiovascular imaging, physiological signals, and medical image analysis.
Cardiovascular Imaging: AI models for cardiovascular imaging, including 3D modelling and analysis of cardiac anatomy, function, and aortic morphology, as well as disease progression prediction to support clinical decision-making and surgical planning.
Image-Guided Surgery: AI-driven imaging and guidance technologies for targeted, less invasive, and more effective surgical interventions, aiming to improve patient recovery and support clinical translation.
⭐ News
- 2026/07 One paper has been accepted by ACM MM 2026 (CCF A).
- 2026/06 Two paper have been accepted by MICCAI 2026.
- 2026/05 Two paper have been accepted by ICML 2026 (CCF A).
- 2026/03 One paper has been accepted by ICME 2026 (CCF B).
- 2026/03 One paper has been accepted by Knowledge-Based Systems (JCR Q1).
- 2026/01 One paper has been accepted by IEEE Trans. Geoscience and Remote Sensing (JCR Q1).
- 2025/11 One paper has been accepted by AAAI 2026 (CCF A).
- 2025/07 One paper has been accepted by Medical Image Analysis (JCR Q1).
- 2025/06 One paper has been accepted by ACM Computing Surveys (JCR Q1, IF=28.0).
- 2025/06 One paper has been accepted by IEEE Trans. Circuits and Systems for Video Technology (JCR Q1).
- 2025/04 One paper has been accepted by IEEE Trans. Multimedia (JCR Q1).
- 2025/01 One paper has been accepted by IEEE Trans. Image Processing (CCF A, JCR Q1).
- 2024/09 One paper has been accepted by IEEE Trans. on Emerging Topics in Computational Intelligence (JCR Q1).
- 2024/08 One paper has been accepted by IEEE Trans. Image Processing (CCF A, JCR Q1).
- 2024/05 One paper has been accepted by Pattern Recognition (JCR Q1).
- 2024/05 One paper has been accepted by ICML 2024 (CCF A).
- 2024/02 One paper has been accepted by IEEE Trans. on Biomedical Engineering.
Projects
Heart Research UK (Imperial College London)
Project Title: Predicting Thoracic Aortic Aneurysm Progression with Artificial Intelligence to Support Surveillance Planning and Elective Surgery
Role: Research Fellow, supported by Prof. Declan O’Regan and Prof. Wenjia Bai
Period: 2023 – Present
Project PageUKRI-EPSRC (University College London)
Project Title: Improving Research Translation In Image Guided Surgery
Role: Research Fellow, supported by Dr Thomas Dowrick and Prof. Matt Clarkson
Period: 2022 – 2023
Project PageUKRI-Medical Research Council (University of Leicester)
Project Title: Development of a Successful Novel Technology for Sudden Cardiac Death Risk Stratification for Clinical Use - LifeMap
Role: Research Assistant, supported by Prof. Ghulam Ng and Dr Xin Li
Period: 2021 – 2022
Project PageSelected Publications
Academic Services
- 2026-Associate Editor: Pattern Recognition.
- 2026Program Chair: IDASS 2026, Qingdao, China.
- 2026Tutorial Chair: iCAST 2026, Qingdao, China.
- 2025/6Journal Reviewer: IEEE TPAMI/TIP/TMI/TMM/TCSVT.
- 2025/6Conference Reviewer: CVPR/ICCV/ECCV/ICML/ICLR/AAAI/ACM MM.
- 2025Organizing Chair: IEEE/WIC WI-IAT 2025, London, UK.
- 2025Workshop Program Committee: ICME 2025 MUIPE Workshop, Nantes, France.
- 2023Workshop Program Committee: MICCAI 2023 DART Workshop, Vancouver, Canada.
- 2023-Editorial Board: Intelligent Marine Technology and Systems (IMTS).
Our Life
ICL Declan's Group
Declan's Birthday
ICL LMS Retreat
UCL WEISS Retreat
Declan Group Wendover Hike 2026
ICL Declan's Group
Declan's Birthday
ICL LMS Retreat
UCL WEISS Retreat
Declan Group Wendover Hike 2026