Sharon Xiaolei Huang
Professor

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E317 Westgate
University Park, PA - suh972@psu.edu
- 814-863-7235
Publication Tags
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Neural Networks Machine Learning Deep Learning Learning Polymers Convolutional Neural Networks Image Retrieval Nanocomposites Screening Experiments Image Resolution Hot Temperature Network Architecture Datasets Computer Graphics Poly(Vinylidene Fluoride Co Hexafluoro Propylene) Object Detection Image Quality Color Pixels Emergency Rooms Neoplasms Strength Semantics NanocompositeMost 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
Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis
Haomiao Ni, Yihao Liu, Sharon Huang, Yuan Xue, 2023, on p. 412--422
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
Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop
Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin, 2022,
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
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, RyeAnne Ricker, Zhuohang Yu, Allison Roder, Nestor Perea Lopez, N Perea Lopez, L Organtini, Wallace Greene, Susan , Susan Hafenstein, Huaguang Lu, E Ghedin, Mauricio Terrones, M Terrones Maldonado, Shengxi Huang, Sharon Xiaolei Huang, 2022, Proceedings of the National Academy of Sciences of the United States of America on p. e2118836119
Comparative Study of Traditional and Deep-Learning Denoising Approaches for Image-Based Petrophysical Characterization of Porous Media
Miral 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
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 Wong, 2022, Medical Image Analysis on p. article no. 102522
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
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