Sharon Xiaolei Huang
Professor

-
E317 Westgate
University Park, PA - suh972@psu.edu
- 814-863-7235
Links
Most 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
Semantic-Aware Transformation-Invariant RoI Align
Guo-Ye Yang, George Nakayama, Zi-Kai Xiao, Tai-Jiang Mu, Sharon Xiaolei Huang, Shi-Min Hu, 2024, on p. 6486--6493
NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation
Rui Yu, Jiachen Liu, Zihan Zhou, Sharon X. Huang, 2024, on p. 16826-16833
NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation
Rui Yu, Jiachen Liu, Z Zhou, Sharon Xiaolei Huang, 2024, on p. 16826--16833
M3Stroke: Multi-Modal Mobile AI for Emergency Triage of Mild to Moderate Acute Strokes
Tongan Cai, Kelvin Wong, J Wang, Sharon Xiaolei Huang, Xiaohui Yu, JOHN VOLPI, Stephen Wong, 2024,
3D-Aware Talking-head Video Motion Transfer
Haomiao Ni, Jiachen Liu, Yuan Xue, Sharon Xiaolei Huang, 2024, on p. 4954--4964
ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions
Aashish Ramakrishnan, Sharon Xiaolei Huang, D Lee, 2024,
MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction
Wang Zhao, Jiachen Liu, Sheng Zhang, Yishu Li, Sili Chen, Sharon Xiaolei Huang, Yong-Jin Liu, Hengkai Guo, 2024, on p. 8481--8488
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
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
Multimodal recurrent model with attention for automated radiology report generation
Yuan Xue, Tao Xu, L. Rodney Long, Zhiyun Xue, Sameer Antani, George R. Thoma, Xiaolei Huang, 2018, on p. 457-466
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