Haijin Zeng, Ph.D.

Biography

I am a Research Fellow at Psychiatry Neuroimaging Laboratory (PNL), Departments of Psychiatry and Radiology, Harvard University.

I received my Ph.D. from imec & Ghent University, where I was awarded the imec PhD Excellence Award. My work bridges computational imaging, foundation model, and large-scale neuroimaging analysis.

My current research focuses on developing robust computational models for structural and functional MRI, tensor-based modeling, large-scale histology-MRI integration, and AI-driven imaging biomarkers for brain injury, coma recovery, and neurodegeneration.

Selected Publications

• 
  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
• 
  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
• 
  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, J. 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, Member

Journal Reviewer (selected)

• Journal of Computational and Applied Mathematics
• International Journal of Computer Vision (IJCV)
• 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, ICCV
• 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.

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.