About me

I am a CS Ph.D. student at Duke University, advised by Prof. Alberto Bartesaghi, working on computer vision research. Prior to Duke, I was advised by Prof. Yufeng Jane Tseng at National Taiwan University (NTU) and Prof. Imari Sato at the National Institute of Informatics (NII). My industry experience includes roles as a Software Engineer (PhD Intern) at Google, Senior Machine Learning Engineer at aetherAI, and Data Engineer (Intern) at Dcard. I hold an M.S. in Bioinformatics from NTU and a Pharm.D. in Pharmacy from National Cheng Kung University (I was also admitted CS B.S. program at NTU in the same year).

My research interests focus on 2D/3D computer vision. I aim to enhance the efficiency and scalability of various computer vision algorithms.

Keywords: Computer Vision, Low-level Vision, Efficient Machine Learning, Parallel Computing

News

[May. 2025] I was honored as an Outstanding Reviewer at CVPR 2025.

[Mar. 2025] I will join Google as a SWE PhD Intern this Summer.

[Oct. 2024] I was honored as a Distinguished Reviewer (Silver Level) by IEEE TMI.

[Jul. 2024] One first-author paper was accepted by ECCV 2024.

Publications

* equal contribution; # corresponding author

Conference Papers

	Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization Ming-Yang Ho, Che-Ming Wu, Min-Sheng Wu, and Yufeng Jane Tseng European Conference on Computer Vision (ECCV), 2024 Paper / Project page / Code
	Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization Ming-Yang Ho#, Min-Sheng Wu, and Che-Ming Wu European Conference on Computer Vision (ECCV), 2022 Paper / Project page / Code

Journal Papers

	Analyzing Generative AI and Machine Learning in Auto-Assessing Schizophrenia’s Negative Symptoms Chih-Min Liu, Yi-Hsuan Chan, Ming-Yang Ho, Chen-Chung Liu, Ming-Hsuan Lu, Yi-An Liao, Ming-Hsien Hsieh, and Yufeng Jane Tseng Schizophrenia Bulletin, 2025 Paper / Code
	FastEval Parkinsonism: An instant deep learning–assisted video-based online system to automatically evaluate parkinsonian motor symptom using finger tapping Yu-Yuan Yang, Ming-Yang Ho, Chung-Hwei Tai, Ruey-Meei Wu, Ming-Che Kuo, and Yufeng Jane Tseng npj Digital Medicine, 2024, 7(1), 1-13 Paper / Code / Deployment
	Pathological Gait Analysis with an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning - PathoOpenGait Ming-Yang Ho, Ming-Che Kuo, Ciao-Sin Chen, Ruey-Meei Wu, Ching-Chi Chuang, Chi-Sheng Shih, and Yufeng Jane Tseng IEEE journal of biomedical and health informatics, 2024, 28(2), 1066–1077 Paper / Code (model) / Code (system) / Deployment
	Taiwan Controlled Substances Database Yung-Wen Huang, Olivia A. Lin, Bo-Han Su, Ping-Han Hsieh, Ming-Yang Ho, Tien-Chueh Kuo, Yufeng Jane Tseng. Journal of the Formosan Medical Association, 2022, 121.12: 2649-2652 Paper
	PanGPCR: predictions for multiple targets, repurposing and side effects Lu-Chi Liu, Ming-Yang Ho, Bo-Han Su, San-Yuan Wang, Ming-Tsung Hsu, Yufeng Jane Tseng Bioinformatics, 2021, 37.8: 1184-1186 Paper / Deployment

Domestic Conference Papers

Potential Security and Privacy Issues in Novel Taiwanese National Electronic Identification system
Ming-Yang Ho#, Jing-Jie Wang, You-Shin Tsai, Tang-Wei Wang
TANET, 2020

Professional service

Conference Program Committee / Reviewer
- CVPR: 2024, 2025 (Outstanding Reviewer Award), 2026
- ICCV: 2025
- ICLR: 2025
- NeurIPS: 2025
Journal Reviewer
- IEEE Transactions on Medical Imaging (impact factor: 10.6)
- IEEE Journal of Biomedical and Health Informatics (impact factor: 7.7)
- Artificial Intelligence Review (impact factor: 13.9)
- Journal of NeuroEngineering and Rehabilitation (impact factor: 5.2)
- Scientific Data (impact factor: 5.8)
- npj Artificial Intelligence
- SN Computer Science