Sharon Xiaolei Huang
Professor

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E317 Westgate
University Park, PA - suh972@psu.edu
- 814-863-7235
Publication Tags
Machine Learning Raman Spectroscopy Screening Neural Networks Hot Temperature Learning Deep Learning Polymers Convolutional Neural Networks Image Retrieval Nanocomposites Proteins Graphene Viruses Experiments Wavelength Image Resolution Thermal Stability Biomarkers Network Architecture Computer Graphics Nanoparticles Poly(Vinylidene Fluoride Co Hexafluoro Propylene) Laser Heating Raman SpectrumMost 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
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
Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment
Haomiao Ni, Yuan Xue, Liya Ma, Qian Zhang, Xiaoye Li, Sharon X. Huang, 2023, Medical Image Analysis
Understanding the Excitation Wavelength Dependence and Thermal Stability of the SARS-CoV-2 Receptor-Binding Domain Using Surface-Enhanced Raman Scattering and Machine Learning
Kunyan Zhang, Ziyang Wang, He Liu, Néstor Perea-López, Jeewan C. Ranasinghe, George Bepete, Allen M. Minns, Randall M. Rossi, Scott E. Lindner, Sharon X. Huang, Mauricio Terrones, Shengxi Huang, 2022, ACS Photonics
DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning
Tongan Cai, Haomiao Ni, Mingli Yu, Xiaolei Huang, Kelvin Wong, John Volpi, James Z. Wang, Stephen T.C. Wong, 2022, Medical Image Analysis
Accurate virus identification with interpretable Raman signatures by machine learning
Jiarong Ye, Yin Ting Yeh, Yuan Xue, Ziyang Wang, Na Zhang, He Liu, Kunyan Zhang, Rye Anne Ricker, Zhuohang Yu, Allison Roder, Nestor Perea Lopez, Lindsey Organtini, Wallace Greene, Susan Hafenstein, Huaguang Lu, Elodie Ghedin, Mauricio Terrones, Shengxi Huang, Sharon Xiaolei Huang, 2022, Proceedings of the National Academy of Sciences of the United States of America
Rapid Biomarker Screening of Alzheimer's Disease by Interpretable Machine Learning and Graphene-Assisted Raman Spectroscopy
Ziyang Wang, Jiarong Ye, Kunyan Zhang, Li Ding, Tomotaroh Granzier-Nakajima, Jeewan C. Ranasinghe, Yuan Xue, Shubhang Sharma, Isabelle Biase, Mauricio Terrones, Se Hoon Choi, Chongzhao Ran, Rudolph E. Tanzi, Sharon X. Huang, Can Zhang, Shengxi Huang, 2022, ACS Nano on p. 6426-6436
Scheduling Massive Camera Streams to Optimize Large-Scale Live Video Analytics
Chenghao Rong, Jessie Hui Wang, Juncai Liu, Jilong Wang, Fenghua Li, Xiaolei Huang, 2022, IEEE/ACM Transactions on Networking on p. 867-880
Deep image synthesis from intuitive user input: A review and perspectives
Yuan Xue, Yuan Chen Guo, Han Zhang, Tao Xu, Song Hai Zhang, Xiaolei Huang, 2022, Computational Visual Media on p. 3-31
Comparative Study of Traditional and Deep-Learning Denoising Approaches for Image-Based Petrophysical Characterization of Porous Media
Miral S. Tawfik, Amogh Adishesha, Yuhan Hsi, Prakash Purswani, Russell T. Johns, Parisa Shokouhi, S Huang, Xiaolei Huang, Zuleima T. Karpyn, 2022, Frontiers in Water on p. 102495
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
SalientShape: Group saliency in image collections
Ming Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Shi Min Hu, 2014, Visual Computer on p. 443-453
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
News Articles Featuring Sharon Xiaolei Huang
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.
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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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