Sharon Xiaolei Huang
Professor
-
E317 Westgate
University Park, PA - suh972@psu.edu
- 814-863-7235
Publication Tags
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Polymers Neural Networks Nanocomposites Convolutional Neural Networks Image Resolution Hot Temperature Learning Machine Learning Image Retrieval Network Architecture Experiments Health Poly(Vinylidene Fluoride Co Hexafluoro Propylene) Datasets Object Detection Screening Image Quality Color Pixels Public Health Therapeutics Image Segmentation Semantics Tumors NeoplasmsMost Recent Publications
Zebrafish Histotomography Noise Removal in Projection and Reconstruction Domains
Amogh Subbakrishna Adishesha, Daniel Vanselow, Patrick La Riviere, Sharon Xiaolei Huang, Keith Cheng, on p. 140-144
Semantic-Aware Transformation-Invariant RoI Align
Guo Ye Yang, George Kiyohiro Nakayama, Zi Kai Xiao, Tai Jiang Mu, Xiaolei Huang, Shi Min Hu, 2024, Proceedings of the AAAI Conference on Artificial Intelligence on p. 6486-6493
3D-Aware Talking-Head Video Motion Transfer
Haomiao Ni, Jiachen Liu, Yuan Xue, Sharon X. Huang, 2024, on p. 4942-4952
Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss
Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick La Riviere, Keith C. Cheng, Sharon X. Huang, 2023, Computer Methods and Programs in Biomedicine
AI Chatbots in Clinical Laboratory Medicine: Foundations and Trends
He S. Yang, Fei Wang, Matthew B. Greenblatt, Sharon X. Huang, Yi Zhang, 2023, Clinical Chemistry on p. 1238-1246
ABSLearn: a GNN-based framework for aliasing and buffer-size information retrieval
Ke Liang, Jim Tan, Dongrui Zeng, Yongzhe Huang, Xiaolei Huang, Gang Tan, 2023, Pattern Analysis and Applications on p. 1171-1189
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior
Yanglan Ou, Sharon X. Huang, Kelvin K. Wong, Jonathon Cummock, John Volpi, James Z. Wang, Stephen T.C. Wong, 2023, Computerized Medical Imaging and Graphics
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities
Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang, 2023, IEEE Journal of Biomedical and Health Informatics on p. 3645-3656
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing
Guotai Wang, Shaoting Zhang, Xiaolei Huang, Tom Vercauteren, Dimitris Metaxas, 2023, Medical Image Analysis
Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis
Haomiao Ni, Yihao Liu, Sharon X. Huang, Yuan Xue, 2023, on p. 412-422
Most-Cited Papers
Global contrast based salient region detection
Ming Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Philip H.S. Torr, Shi Min Hu, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence on p. 569-582
StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas, 2017, on p. 5908-5916
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He, 2018, on p. 1316-1324
Traffic-Sign Detection and Classification in the Wild
Zhe Zhu, Dun Liang, Songhai Zhang, Xiaolei Huang, Baoli Li, Shimin Hu, 2016, on p. 2110-2118
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence on p. 1947-1962
SegAN: Adversarial Network with Multi-scale L <sub>1</sub> Loss for Medical Image Segmentation
Yuan Xue, Tao Xu, Han Zhang, L. Rodney Long, Xiaolei Huang, 2018, Neuroinformatics on p. 383-392
SPDA-CNN: Unifying semantic part detection and abstraction for fine-grained recognition
Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed Elgammal, Dimitris Metaxas, 2016, on p. 1143-1152
SalientShape: Group saliency in image collections
Ming Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Shi Min Hu, 2014, Visual Computer on p. 443-453
Phase-field modeling and machine learning of electric-thermal-mechanical breakdown of polymer-based dielectrics
Zhong Hui Shen, Jian Jun Wang, Jian Yong Jiang, Sharon X. Huang, Yuan Hua Lin, Ce Wen Nan, Long Qing Chen, Yang Shen, 2019, Nature Communications
Multimodal deep learning for cervical dysplasia diagnosis
Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas, 2016, on p. 115-123
News Articles Featuring Sharon Xiaolei Huang
Mar 07, 2023
College of IST awards seed grants to 8 projects
The Penn State College of Information Sciences and Technology recently announced eight projects that will receive funding from the college’s seed grant program.
Full Article
Oct 26, 2022
Researchers to use $1.2 million grant to study early Alzheimer’s detection
A team of Penn State-led researchers received a $1.2 million grant from the National Institutes of Health to help fund a project to develop a machine learning system for early Alzheimer’s disease detection. Alzheimer’s disease, a neurological condition and the most common form of dementia, affects nearly 6 million Americans, according to the Centers for Disease Control and Prevention.
Full Article
Oct 07, 2020
Podcast unpacks interdisciplinary team’s rapid new virus diagnostics
The latest episode of The Symbiotic Podcast welcomes its largest-ever crew of guests, collaborators from a multi-disciplinary, multi-institution team that came together via video conference to talk about their work on a newly developed rapid diagnostic tool for COVID-19 and other viruses.
Full Article
Feb 07, 2020
Penn State receives five-year $3.7 million grant to study virus evolution
The evolution of viruses will be the focus of a five-year $3.7 million dollar grant from the National Science Foundation’s new program on convergence research, to an interdisciplinary team led by Penn State. The grant is in two phases, depending on successful completion of phase one milestones.
Full Article