Haomiao Ni
Assistant Professor, Computer Science, University of Memphis, U.S.A.
Email: homerhm [dot] Ni [at] gmail [dot] com
Assistant Professor, Computer Science, University of Memphis, U.S.A.
Email: homerhm [dot] Ni [at] gmail [dot] com
Currently, I am a Tenure-Track Assistant Professor of the Department of Computer Science at the University of Memphis.
Before joining UofM, I completed my Ph.D. in Informatics at The Pennsylvania State University (PSU), under the supervision of Prof. Sharon Xiaolei Huang in 2024. I earned my master's degree in Computer Science and Technology from the University of Chinese Academy of Sciences in 2019, and my bachelor's degree in Information Engineering from the South China University of Technology (SCUT) in 2016.
My research interest broadly lies in computer vision, especially with the applications in generative models, and biomedical and healthcare domains. My current research focuses on the following three topics:
Video-based Computer-aided Diagnosis for Contactless Healthcare
Generative Models for Video Editing and Synthesis
Deep Learning for Biomedical Image Analysis and Synthesis
For prospective PhD students, please refer to Join My Team
Ph.D., The Pennsylvania State University
Informatics
Aug. 2019 - Aug. 2024
Master, University of Chinese Academy of Sciences
Computer Science and Technology
Sept. 2016 - Jul. 2019
Bachelor, South China University of Technology
Information Engineering
Sept. 2012 - Jul. 2016
(* indicates equal contribution)
[MICCAI'25] Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation
Shuhua Yang*, Tongan Cai*, Haomiao Ni*, Wenchao Ma, Yuan Xue, Kelvin Wong, John Volpi, James Z. Wang, Sharon Xiaolei Huang, Stephen T.C. Wong.
The 28th International Conference on Medical Image Computing and Computer Assisted Intervention, Sept 23-27, 2025, Daejeon, Republic of Korea
[paper]
[IPMI'25] SafeTriage: Facial Video De-identification for Privacy-Preserving Stroke Triage
Tongan Cai*, Haomiao Ni*, Wenchao Ma*, Yuan Xue, Qian Ma, Rachel Leicht, Kelvin Wong, John Volpi, Stephen T.C. Wong, James Z. Wang, Sharon Xiaolei Huang
Information Processing in Medical Imaging 2025, May 25-30, Kos Island, Greece
[paper]
[CVPR'24] TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon Xiaolei Huang, Tim K. Marks
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, Jun 17-21, Seattle, USA
[WACV'24] 3D-Aware Talking-Head Video Motion Transfer
Haomiao Ni, Jiachen Liu, Yuan Xue, Sharon Xiaolei Huang
The IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 4-8, 2024, Waikoloa, Hawaii
[paper]
[Medical Image Analysis'22] DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning (IF=10.9)
Tongan Cai*, Haomiao Ni*, Mingli Yu, Xiaolei Huang, Kelvin Wong, John Volpi, James Z. Wang, Stephen T.C. Wong
[paper]
[MICCAI'22] Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans
Haomiao Ni*, Yuan Xue*, Kelvin Wong, John Volpi, Stephen Wong, James Wang, Xiaolei Huang
The 25th International Conference on Medical Image Computing and Computer Assisted Intervention, September 18-22, 2022, Singapore
[Scientific Reports'19] A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images (IF=4.9)
Zichao Guo, Hong Liu, Haomiao Ni, Xiangdong Wang, Mingming Su, Wei Guo, Kuansong Wang, Taijiao Jiang, and Yueliang Qian
[paper]
Yanliang Qi (2025 Spring - Present)
Xin Xu (2025 Fall - Present)
Invited Journal Reviewer for: Computer Vision and Image Understanding (CVIU), ACM Transactions on Computing for Healthcare (HEALTH), Computerized Medical Imaging and Graphics (CMIG), Computers in Biology and Medicine (CIBM), Medical Image Analysis (MedIA), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Invited Conference Reviewer for: MICCAI, IPMI, CVPR, ICCV, ECCV, AAAI, NeurIPS
Invited Area Chair for: WACV