Portrait
Zhenbang Zhang
M.Sc. Student in Machine Learning, MBZUAI
About Me

I am an M.Sc. student in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Prof. Zhiqiang Xu. My research interests broadly lie in computer vision and AI for biomedical imaging and connectomics.

My work focuses on developing AI methods for recovering reliable spatial-temporal structure from noisy, distorted, incomplete, and inconsistent visual observations. I am particularly interested in modeling visual degradations such as noise, distortion, missing data, and motion conflicts, and in designing structure-preserving reconstruction methods for 3D alignment, inpainting, and volumetric consistency. My research spans both general visual data, such as video generation, and scientific imaging data, such as connectomics microscopy.

Curriculum Vitae
Education
  • Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
    Machine Learning
    M.Sc. in Machine Learning
    Sep. 2025 - present
  • Shandong University
    Computer Science
    B.S. in Computer Science
    Sep. 2021 - Jun. 2025
Experience
  • MBZUAI and Shandong University
    Advisors: Prof. Renmin Han and Prof. Zhiqiang Xu
    Research Assistant
    Oct. 2025 - present
  • Mathematics and Interdisciplinary Science Center, Shandong University
    Advisor: Prof. Renmin Han
    Research Intern
    Jul. 2023 - Oct. 2025
  • Mathematics and Interdisciplinary Science Center, Shandong University
    Advisor: Prof. Renmin Han
    Research Intern
    Jun. 2022 - Jul. 2023
News
2026
Paper 3D Registration-Guided Deformable Residual Inpainting for ssEM Restoration accepted by Bioinformatics.
May 17
Paper Motion-Residual Conflict-Aware Time Reversal for Generative Inbetweening accepted by ICML 2026.
Apr 30
Paper vEMRec: High-Resolution Volume Electron Microscopy Reconstruction Based on Structure-Preserving and High-Fidelity 3D Alignment accepted by Advanced Science.
Jan 31
2025
Paper Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs accepted by NeurIPS 2025.
Aug 31
Started M.Sc. in Machine Learning at MBZUAI.
Jul 31
Graduated with a B.S. in Computer Science from Shandong University.
May 31
2024
Paper A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy accepted by AAAI 2025.
Nov 30
Paper vEMstitch: an algorithm for fully automatic image stitching of volume electron microscopy published in GigaScience.
Sep 30
Selected Publications (view all )
3D Registration-Guided Deformable Residual Inpainting for ssEM Restoration
3D Registration-Guided Deformable Residual Inpainting for ssEM Restoration

Zhenbang Zhang*, Hongjia Li, Jingtong Feng*, Haythem El-Messiry, Zhiqiang Xu, Renmin Han (* equal contribution)

Bioinformatics 2026 First author

RegInpaint is a 3D registration-guided deformable residual inpainting framework for serial section electron microscopy restoration.

3D Registration-Guided Deformable Residual Inpainting for ssEM Restoration

Zhenbang Zhang*, Hongjia Li, Jingtong Feng*, Haythem El-Messiry, Zhiqiang Xu, Renmin Han (* equal contribution)

Bioinformatics 2026 First author

RegInpaint is a 3D registration-guided deformable residual inpainting framework for serial section electron microscopy restoration.

Motion-Residual Conflict-Aware Time Reversal for Generative Inbetweening
Motion-Residual Conflict-Aware Time Reversal for Generative Inbetweening

Zhenbang Zhang*, Zihui Cui*, Haythem El-Messiry, Renmin Han, Zhiqiang Xu (* equal contribution)

Forty-Third International Conference on Machine Learning (ICML) 2026 First author

A motion-residual conflict-aware time-reversal method for generative inbetweening, accepted by ICML 2026.

Motion-Residual Conflict-Aware Time Reversal for Generative Inbetweening

Zhenbang Zhang*, Zihui Cui*, Haythem El-Messiry, Renmin Han, Zhiqiang Xu (* equal contribution)

Forty-Third International Conference on Machine Learning (ICML) 2026 First author

A motion-residual conflict-aware time-reversal method for generative inbetweening, accepted by ICML 2026.

vEMRec: High-Resolution Volume Electron Microscopy Reconstruction Based on Structure-Preserving and High-Fidelity 3D Alignment
vEMRec: High-Resolution Volume Electron Microscopy Reconstruction Based on Structure-Preserving and High-Fidelity 3D Alignment

Zhenbang Zhang*, Hongjia Li*, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han (* equal contribution)

Advanced Science 2026 First author

An end-to-end 3D alignment pipeline for volume electron microscopy, validated on six real-world datasets exceeding 1 TB.

vEMRec: High-Resolution Volume Electron Microscopy Reconstruction Based on Structure-Preserving and High-Fidelity 3D Alignment

Zhenbang Zhang*, Hongjia Li*, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han (* equal contribution)

Advanced Science 2026 First author

An end-to-end 3D alignment pipeline for volume electron microscopy, validated on six real-world datasets exceeding 1 TB.

Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs
Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs

Zhenbang Zhang*, Jingtong Feng*, Hongjia Li, Haythem El-Messiry, Zhiqiang Xu, Renmin Han (* equal contribution)

Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025 First author

An unsupervised trajectory-optimization framework based on Neural ODEs for 3D registration in serial section electron microscopy.

Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs

Zhenbang Zhang*, Jingtong Feng*, Hongjia Li, Haythem El-Messiry, Zhiqiang Xu, Renmin Han (* equal contribution)

Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025 First author

An unsupervised trajectory-optimization framework based on Neural ODEs for 3D registration in serial section electron microscopy.

A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy
A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy

Zhenbang Zhang*, Hongjia Li*, Zhiqiang Xu, Wenjia Meng, Renmin Han (* equal contribution)

Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI) 2025 First author

A Gaussian filter-based 3D registration method for serial section electron microscopy, improving section alignment for downstream neuronal reconstruction.

A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy

Zhenbang Zhang*, Hongjia Li*, Zhiqiang Xu, Wenjia Meng, Renmin Han (* equal contribution)

Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI) 2025 First author

A Gaussian filter-based 3D registration method for serial section electron microscopy, improving section alignment for downstream neuronal reconstruction.

vEMstitch: An Algorithm for Fully Automatic Image Stitching of Volume Electron Microscopy
vEMstitch: An Algorithm for Fully Automatic Image Stitching of Volume Electron Microscopy

Bintao He*, Yan Zhang*, Zhenbang Zhang*, Yiran Cheng, Fa Zhang, Fei Sun, Renmin Han (* equal contribution)

GigaScience 2024 Co-first author

An algorithm for fully automatic image stitching of volume electron microscopy, improving continuity across sections for downstream connectomics workflows.

vEMstitch: An Algorithm for Fully Automatic Image Stitching of Volume Electron Microscopy

Bintao He*, Yan Zhang*, Zhenbang Zhang*, Yiran Cheng, Fa Zhang, Fei Sun, Renmin Han (* equal contribution)

GigaScience 2024 Co-first author

An algorithm for fully automatic image stitching of volume electron microscopy, improving continuity across sections for downstream connectomics workflows.

All publications