Sharon Xiaolei Huang

Professor

Sharon Xiaolei Huang

Publication Tags

Machine Learning Screening Raman Spectroscopy Neural Networks Polymers Image Retrieval Nanocomposites Convolutional Neural Networks Graphene Learning Image Resolution Biomarkers Synthesis Hot Temperature Network Architecture Neoplasms Image Quality Labels Computer Graphics Poly(Vinylidene Fluoride Co Hexafluoro Propylene) Datasets Object Detection Color Experiments Pixels

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

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

Yuan Xue, Yuan Chen Guo, Han Zhang, Tao Xu, Song Hai Zhang, Xiaolei Huang, 2022, Computational Visual Media on p. 3-31

Zebrafish histotomography noise removal in projection and reconstruction domains

Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick La Riviere, Xiaolei Huang, Keith C. Cheng, 2021, on p. 140-144

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

Yuan Xue, Yuan-Chen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Sharon Xiaolei Huang, 2021, Computational Visual Media on p. 3-31

Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang, 2021, Medical Image Analysis

Scheduling Massive Camera Streams to Optimize Large-Scale Live Video Analytics

Chenghao Rong, Jessie Wang, Juncai Liu, Jilong Wang, Fenghua Li, Xiaolei Huang, 2021, IEEE/ACM Transactions on Networking on p. 1-14

Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang, 2021, on p. 613-623

Most-Cited Papers

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

Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas, 2017, on p. 5908-5916

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

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

Yuan Xue, Tao Xu, Han Zhang, L. Rodney Long, Xiaolei Huang, 2018, Neuroinformatics on p. 383-392

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

Multimodal deep learning for cervical dysplasia diagnosis

Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas, 2016, on p. 115-123

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