Haijin Zeng

About

I am a Research Fellow at Harvard Medical School, based in the Psychiatry Neuroimaging Laboratory (PNL) at Brigham and Women’s Hospital. My work focuses on developing computational imaging and machine learning methods for large-scale neuroimaging and biomedical data.

I completed my Ph.D. at imec & Ghent University, where I worked under Prof. Wilfried Philips and Prof. Hiep Luong on tensor-based models, hyperspectral imaging, and mobile intelligent photography. My long-term goal is to build robust, data-efficient imaging algorithms that translate into clinically meaningful tools for neuroscience and medicine.

Research

My research lies at the intersection of computational imaging, inverse problems, and machine learning, with applications in hyperspectral imaging, camera pipelines, and neuroimaging.

• Computational Imaging: snapshot spectral imaging (MSFA/SCI), MRI reconstruction, and camera image signal processing for Bayer & non-Bayer sensors.
• Tensor Models & Optimization: low-rank and nonconvex tensor representations, deep unfolding networks, and plug-and-play priors.
• Hyperspectral Imaging & Restoration: denoising, demosaicing, compressive sensing, and diffusion/diffusion-inspired generative models.
• Neuroimaging: quantitative imaging and reconstruction methods for structural and functional MRI, and integration with advanced computational imaging pipelines.

Selected Publications

• 
  Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement

  H. Zeng*, B. Sun*, Y. Chen, J. Su, Y. Xu

  ICLR, Spotlight (4.7% acceptance rate).

  Paper Code
• 
  Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks

  H. Zeng*, X. Wang*, Y. Chen, J. Su, J. Liu

  CVPR.

  Paper Code
• 
  Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing

  S. Zhou*, H. Zeng*, J. Su, J. Liu

  CVPR.

  Paper Code
• 
  OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems

  X. Wang, H. Zeng, J. Chen

  AAAI.

  Paper Code
• 
  MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging

  Z. Pan*, H. Zeng*, K. Zhang

  NeurIPS.

  Paper Code
• 
  Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing

  H. Zeng, H. Luong, W. Philips

  ECCV.

  Paper
• 
  SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging

  H. Zeng*, Y. Liu*, J. Su

  ECCV.

  Paper Code
• 
  DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model

  Z. Pan*, H. Zeng*, K. Zhang

  CVPR.

  Paper Code
• 
  Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising

  H. Zeng, J. Cao, W. Philips

  CVPR.

  Paper
• 
  Dual Prior Unfolding for Snapshot Compressive Imaging

  J. Zhang*, H. Zeng*, J. Cao

  CVPR.

  Paper Code
• 
  Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification

  J. Zhang, H. Zeng, J. Cao

  CVPR.

  Paper Code
• 
  Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor

  H. Zeng*, K. Feng*, W. Philips

  International Journal of Computer Vision (IJCV).

  Paper
• 
  Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks

  K. Feng*, H. Zeng*, Y. Zhao

  IEEE Transactions on Image Processing.

  Paper Code
• 
  Tensor Completion using Bilayer Multi-mode Low-rank Prior and Total Variation

  H. Zeng, S. Huang, Y. Chen

  IEEE Transactions on Neural Networks and Learning Systems.

  Paper
• 
  Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion

  H. Zeng, Jize Xue

  IEEE Transactions on Multimedia.

  Paper
• 
  Hyperspectral Image Restoration via Global L_1-2 Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery

  H. Zeng, J. Ning

  IEEE Transactions on Geoscience and Remote Sensing.

  Paper
• 
  Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-modes for Tensor Completion

  H. Zeng, Y. Chen

  IEEE Transactions on Computational Imaging.

  Paper Code
• 
  Hyperspectral Image Restoration via CNN Denoiser Prior Regularized Low-Rank Tensor Recovery

  H. Zeng, J. Ning

  Computer Vision and Image Understanding.

  Paper Code

Service

Membership

• IEEE, Student Member

Journal Reviewer (selected)

• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Geoscience and Remote Sensing (TGRS)
• IEEE Transactions on Computational Imaging (TCI)
• IEEE JSTARS, IEEE Signal Processing Letters, Neurocomputing, Scientific Reports, and others.

Conference Reviewer (selected)

• ICLR, ICML, NeurIPS, CVPR, ECCV
• AISTATS, AAAI, ACM MM
• ICME, ICASSP, IJCNN

Awards

• imec PhD Excellence Award, imec (2 per year across all global imec research institutes).
• Third place, CVPR 2024 Mobile Intelligent Photography and Imaging (MIPI) Challenge.
• Third place, ECCV 2022 MIPI Challenge.
• National Scholarship (top 2%, Ministry of Education, China).
• Top-Ten Distinguished Graduate Student (Northwest A&F University).
• Multiple prizes in national mathematical modeling and mathematics competitions.

Personal

Outside of research, I enjoy badminton and middle- to long-distance running. I also like exploring how computational imaging ideas can be communicated visually — from camera photography to scientific figures and data stories.