Chu Chen.

Now

Postdoctoral Research Fellow

Department of Engineering, University of Cambridge

Portrait of Chu Chen — I build mathematical and learning-based methods that recover what measurements hide.

A1 Research

Seeing what measurements hide.

My work sits between applied mathematics and machine learning: models that are principled enough to trust, and efficient enough to use in real imaging systems.

Inverse Problems & Scientific Computing

Reconstructing images and signals from incomplete, noisy or degraded measurements, where variational models, physics and learning meet.

Sparse-view reconstruction
Blind restoration
Implicit neural representations

Medical Imaging

Quantitative MRI, ultrasound and X-ray imaging: making faint physiological signals measurable, reliable and fast.

CEST MRI
Ultrasound
X-ray laminography

Geometry & 3D Vision

Quasiconformal geometry and point-cloud processing for restoring structure in images and 3D scenes.

Quasiconformal maps
Point clouds
Computational geometry

Interests

Scientific Computing
Signal and Image Processing
Inverse Problems
Deep Learning
Computational Geometry
Medical Imaging

A2 Selected Publications

Selected works.

First-author papers from recent years. Hover a sleeve to pull the record out.

See all publications

01 NEUCOM 2026

Circular quasiconformal deturbulence: Geometry-based restoration from multiple turbulent frames

Neurocomputing

02 ICASSP 2026

LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

03 TBME 2025 Feature Article

High-Quality CEST Mapping With Lorentzian-Model Informed Neural Representation

IEEE Transactions on Biomedical Engineering

04 MICCAI 2025

Blind Restoration of High-Resolution Ultrasound Video

Medical Image Computing and Computer Assisted Intervention (MICCAI)

05 ISBI 2024

Implicit Regression in Subspace for High-Sensitivity CEST Imaging

IEEE International Symposium on Biomedical Imaging (ISBI)

A3 Experience

Aug 2026 – Present

Research

Postdoctoral Research Fellow

Department of Engineering, University of Cambridge

Machine Intelligence Lab
May 2025 – Nov 2025

Research

Visiting Ph.D. Student

DAMTP, University of Cambridge

Cambridge Image Analysis Group
Aug 2022 – Jul 2026

Education

Ph.D.

City University of Hong Kong

Also affiliated with

Hong Kong Centre for Cerebro-cardiovascular Health Engineering
Sep 2018 – Jun 2022

Education

B.S. in Computational Mathematics

Dalian University of Technology

B1 Service & Talks

Community and teaching.

Organizer

ECCV 2026 Workshop AI4M3D (Artificial Intelligence for Medical 3D Vision)

Reviewer

IEEE Internet of Things Journal
Neural Networks
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
European Conference on Computer Vision (ECCV)

Talks

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025, Daejeon, South Korea
Mathematics of Imaging: Trends and Perspectives 2025, Marseille, France
IEEE International Symposium on Biomedical Imaging (ISBI) 2024, Athens, Greece