CV

Education

• Ph.D. in Computer Science and Engineering (CSE)
• Research Fellow at Scientific Computing and Imaging Institute (SCI), University of Utah

Work Experience

• Research Fellow - Scientific Computing and Imaging Institute (SCI), University of Utah
  • Salt Lake City, UT, USA
  • Research areas: Histopathology Imaging, Deep Learning, Computer Vision

Awards and Honors

• 2020/07: “Hosei University Science and Engineering Departments Education/Research Promotion Fund Academic Achievement Award 2020”
• 2020/01: “Best Paper Runner-up Award” at MMM2020, Daejeon, Korea
• 2018/08: “Key Contributor” by EyeQ Tech, Vietnam
• 2018/08: “Squad of the month” by EyeQ Tech, Vietnam
• 2016/12: “The Five-Virtue Student” by Vietnam National University, University of Information Technology

Publications

DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer

Xiaoya Tang, Bodong Zhang, Man M. Ho, Beatrice S. Knudsen, Tolga Tasdizen. (2025). "DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer." MIDL 2025.

CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification

Bodong Zhang, Hamid Manoochehri, Man M. Ho, Fahimeh Fooladgar, Yosep Chong, Beatrice S. Knudsen, Deepika Sirohi, and Tolga Tasdizen. (2025). "CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification." Medical Image Analysis.

F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation

Man M. Ho, Shikha Dubey, Yosep Chong, Beatrice S. Knudsen, and Tolga Tasdizen. (2025). "F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation." WACV 2025.

DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading

Man M. Ho, Elham Ghelichkhan, Yosep Chong, Yufei Zhou, Beatrice S. Knudsen, and Tolga Tasdizen. (2024). "DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading." ISBI 2024.

HistoEM: A Pathologist-Guided and Explainable Workflow Using Histogram Embedding for Gland Classification

Alessandro Ferrero, Elham Ghelichkhan, Hamid Manoochehri, Man M. Ho, Daniel J. Albertson, Benjamin J. Brintz, Tolga Tasdizen, Ross T. Whitaker, and Beatrice S. Knudsen. (2024). "HistoEM: A Pathologist-Guided and Explainable Workflow Using Histogram Embedding for Gland Classification." Modern Pathology.

Interactive Image Manipulation with Complex Text Instructions

Ryugo Morita, Zhiqiang Zhang, Man M. Ho, Jinjia Zhou. (2023). "Interactive Image Manipulation with Complex Text Instructions." WACV 2023.

On Pre-chewing Compression Degradation for Learned Video Compression

Man M. Ho, Heming Sun, Zhiqiang Zhang, Jinjia Zhou. (2022). "On Pre-chewing Compression Degradation for Learned Video Compression." VCIP 2022.

Text-guided Image Manipulation based on Sentence-aware and Word-aware Network

Zhiqiang Zhang, Chen Fu, Man M. Ho, Jinjia Zhou, Ning Jiang, Wenxin Yu. (2022). "Text-guided Image Manipulation based on Sentence-aware and Word-aware Network." ICME 2022.

Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning

Man M. Ho, Jinjia Zhou. (2022). "Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning." WACV 2022.

Semantic-driven Colorization

Man M. Ho, Lu Zhang, Alexander Raake, Jinjia Zhou. (2021). "Semantic-driven Colorization." CVMP 2021.

RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding

Man M. Ho, Jinjia Zhou, Gang He. (2021). "RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding." IEEE Transactions on Image Processing.

Deep Preset: Blending and Retouching Photos with Color Style Transfer

Man M. Ho, Jinjia Zhou. (2021). "Deep Preset: Blending and Retouching Photos with Color Style Transfer." WACV 2021.

Japanese Coins and Banknotes Recognition for Visually Impaired People

Huyen T. T. Bui, Man M. Ho, Xiao Peng, Jinjia Zhou. (2020). "Japanese Coins and Banknotes Recognition for Visually Impaired People." VizWiz Workshop 2020.

SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation

Man M. Ho, Jinjia Zhou, Gang He, Muchen Li, Lei Li. (2020). "SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation." CVPR Workshops 2020.

Down-Sampling Based Video Coding with Degradation-Aware Restoration-Reconstruction Deep Neural Network

Man M. Ho (Minh-Man Ho), Gang He, Zheng Wang, Jinjia Zhou. (2020). "Down-Sampling Based Video Coding with Degradation-Aware Restoration-Reconstruction Deep Neural Network." MMM 2020.

Respecting Low-level Components of Content with Skip Connections and Semantic Information in Image Style Transfer

Man M. Ho (Minh-Man Ho), Jinjia Zhou, Yibo Fan. (2019). "Respecting Low-level Components of Content with Skip Connections and Semantic Information in Image Style Transfer." CVMP 2019.

Service and Professional Activities

I have served as a reviewer for:

• CVPRW 2020
• BMVC 2020, 2021
• WACV 2021, 2022, 2023, 2024, 2025
• ECCV 2024
• ICCV 2021 (assistant)
• Neural Computing and Applications (NCAA)