Sharon Xiaolei Huang

Professor

Sharon Xiaolei Huang

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.

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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.

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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.

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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.

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