Sharon Xiaolei Huang

Professor

Sharon Xiaolei Huang

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 Nanocomposite

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

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.

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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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