Zhuocheng Jiang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Hyperspectral Image Compression

Convolutional Neural Networks

Top Venues

Neural Comput. Appl.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

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)