Long Chen

I work on AI and computational imaging, with a particular focus on medical imaging AI, underwater imaging AI, and brain-inspired computing. My research explores efficient, robust, and intelligent visual perception models for challenging imaging 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 Prof. Matt Clarkson and Dr Thomas Dowrick, 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 medical imaging, underwater imaging, and brain-inspired computing.

Research Interests

My research interests include medical imaging, underwater imaging, and brain-inspired computing.

Medical Imaging

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.

Underwater Imaging

Underwater Vision: Focuses on robust visual perception in challenging underwater environments, including object detection, image enhancement, and scene understanding.
Underwater Robotics: Explores perception-driven robotic systems for underwater inspection, navigation, and autonomous operation in complex marine environments.

Brain-Inspired Computing

Spiking Neural Networks: Focuses on biologically inspired, event-driven, and sparsely activated neural computation. By addressing the growing energy consumption challenges of large-scale AI models, particularly LLMs, SNNs offer a promising pathway toward energy-efficient learning and inference, as well as low-power visual perception.
Efficient AI for SNNs: Develops pruning, compression, knowledge distillation, and lightweight neural architectures to enable efficient and deployable Spiking Neural Networks for robotics, UAVs, AUVs, and other resource-constrained platforms.

⭐ 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 Page

UKRI-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 Page

UKRI-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 Page

Selected Publications

Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future

Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li

ACM Computing Survey 2026

Paper Code

Spiking Neural Network with Mixture of Heterogeneous Enhancement Experts for Underwater Object Detection

Long Chen, Yaxin Li, Jiangrong Shen, Ling Huang, Yunzhi Zhuge, Qi Xu, Gang Pan, Qiang Zhang

ACM MM 2026

BibTeX

BTSP-CAM: A Brain-Inspired Geometric Memory for Class-Incremental Learning

Zheng Zhang, Jiaye Yang, Qingjie Guo, Jiangrong Shen, Long Chen*, Qi Xu*

ICML 2026

Paper BibTeX

Spatial-Frequency Spiking Neural Network for Underwater Object Detection

Long Chen, Wei Miao, Xin Gao, Yunzhi Zhuge, Hongming Xu, Yaxin Li, Qi Xu

AAAI 2026

Paper BibTeX

Generic-to-Personalised Learning for Multimodal Image Synthesis With Bidirectional Variational GAN

Long Chen, Xirui Dong, Jiangrong Shen, Lu Zhang, Qi Xu, Gang Pan, Qiang Zhang

IEEE Transaction Multimedia 2026

Paper BibTeX

DA-GAN: Dual-Attention GAN for Underwater Image Enhancement With Contrast and Color Correction

Xiaopeng Liu, Honghao Xu, Yakun Ju, Shengke Wang, Cong Liu, Long Chen* (Corresponding Author)

IEEE Transactions on Geoscience and Remote Sensing 2026

Paper BibTeX

Controllable Illumination Invariant GAN for Diverse Temporally-Consistent Surgical Video Synthesis

Long Chen, Mobarak I. Hoque, Zhe Min, Matthew J. Clarkson, Thomas Dowrick

Medical Image Analysis 2025

Paper Code

BAUODNET for Class Imbalance Learning in Underwater Object Detection

Long Chen, Haohan Yu, Xirui Dong, Yaxin Li, Jialie Shen, Jiangrong Shen, Qi Xu

IEEE Transactions on Emerging Topics in Computational Intelligence 2025

Paper BibTeX

CWSCNet: Channel-Weighted Skip Connection Network for Underwater Object Detection

Long Chen, Yunzhou Xie, Yaxin Li, Qi Xu, Junyu Dong

IEEE Transaction Image Processing 2024

Paper BibTeX

ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs

Long Chen, Zheheng Jiang, Joseph Barker, Huiyu Zhou, Fernando S. Schlindwein, Will Nicolson, G. André Ng, Xin Li

IEEE Transaction Biomedical Engineering 2024

Paper BibTeX

Underwater Object Detection in Noisy Imbalanced Datasets

Long Chen, Tengyue Li, Andy Zhou, Shengke Wang, Junyu Dong, Huiyu Zhou

Pattern Recognition 2024

Paper BibTeX

SWIPENET: Object Detection in Noisy Underwater Scenes

Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning Li, Haiping Ma, Xin Wang, Huiyu Zhou

Pattern Recognition 2022

Paper BibTeX

Perceptual Underwater Image Enhancement With Deep Learning and Physical Priors

Long Chen, Zheheng Jiang, Lei Tong, Zhihua Liu, Aite Zhao, Qianni Zhang, Junyu Dong, Huiyu Zhou

IEEE Transactions on Circuits and Systems for Video Technology 2021

Paper BibTeX

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