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Zhuocheng Jiang
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 15
Top Topics
Hyperspectral Image Compression
Deep Learning
Convolutional Neural Networks
Hyperspectral
Top Venues
Neural Comput. Appl.
J. Imaging
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
ICASSP
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Publications
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Yangmin Ding
,
Sarper Ozharar
,
Zhuocheng Jiang
,
Yue Tian
,
Ting Wang
,
Junbo Zhao
Distributed Fiber Optic Sensing for Fault Localization Caused by Fallen Tree Using Physics-informed ResNet.
ISGT
(2024)
Zhuocheng Jiang
,
Seong Hyeon Hong
,
Benjamin Albia
,
Adrian A. Hood
,
Asha J. Hall
,
Jackson Cornelius
,
Yi Wang
A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments.
Neural Comput. Appl.
35 (8) (2023)
Zhuocheng Jiang
,
Yue Tian
,
Yangmin Ding
,
Sarper Ozharar
,
Ting Wang
Utility Polelocalization by Learning from Ambient Traces on Distributed Acoustic Sensing.
ICASSP
(2023)
Zhuocheng Jiang
,
Feng Guo
,
Yu Qian
,
Yi Wang
,
W. David Pan
Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl.
34 (8) (2022)
Ming-Fang Huang
,
Jian Fang
,
Shaobo Han
,
Zhuocheng Jiang
,
Sarper Ozharar
,
Yuheng Chen
,
Tomoyuki Hino
,
Ting Wang
Field Tests of Impulsive Acoustic Event Detection, Localization, and Classification Over Telecom Fiber Networks.
OECC/PSC
(2022)
Feng Guo
,
Zhuocheng Jiang
,
Yi Wang
,
Chen Chen
,
Yu Qian
Dense Traffic Detection at Highway-Railroad Grade Crossings.
IEEE Trans. Intell. Transp. Syst.
23 (9) (2022)
Zhuocheng Jiang
,
Feng Guo
,
Yu Qian
,
Yi Wang
,
W. David Pan
A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl.
34 (6) (2022)
Zhuocheng Jiang
,
Ge Song
,
Yu Qian
,
Yi Wang
A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings.
Neural Comput. Appl.
34 (24) (2022)
Zhuocheng Jiang
,
W. David Pan
,
Hongda Shen
Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery.
J. Imaging
6 (6) (2020)
Hongda Shen
,
Zhuocheng Jiang
,
W. David Pan
Efficient Lossless Compression of Multitemporal Hyperspectral Image Data.
J. Imaging
4 (12) (2018)
Zhuocheng Jiang
,
W. David Pan
,
Hongda Shen
Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
11 (10) (2018)
Zhuocheng Jiang
,
W. David Pan
,
Hongda Shen
LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images.
WiSEE
(2018)
Hongda Shen
,
W. David Pan
,
Yuhang Dong
,
Zhuocheng Jiang
Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.
IGARSS
(2017)
Amir Leon Liaghati
,
W. David Pan
,
Zhuocheng Jiang
Biased Run-Length Coding of Bilevel Classification Label Maps of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
10 (10) (2017)
Yuhang Dong
,
Zhuocheng Jiang
,
Hongda Shen
,
W. David Pan
,
Lance A. Williams
,
Vishnu V. B. Reddy
,
William H. Benjamin
,
Allen W. Bryan
Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells.
BHI
(2017)