Zhuocheng Jiang

According to our database, Zhuocheng Jiang authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Distributed Fiber Optic Sensing for Fault Localization Caused by Fallen Tree Using Physics-informed ResNet.

Yangmin Ding, Sarper Ozharar, Zhuocheng Jiang, Yue Tian, Ting Wang, Junbo Zhao

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

Seeing the Vibration from Fiber-Optic Cables: Rain Intensity Monitoring using Deep Frequency Filtering.

Zhuocheng Jiang, Yangmin Ding, Junhui Zhao, Yue Tian, Shaobo Han, Sarper Ozharar, Ting Wang, James M. Moore

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments.

Zhuocheng Jiang, Seong Hyeon Hong, Benjamin Albia, Adrian A. Hood, Asha J. Hall, Jackson Cornelius, Yi Wang

Neural Comput. Appl., March, 2023

Utility Polelocalization by Learning from Ambient Traces on Distributed Acoustic Sensing.

Zhuocheng Jiang, Yue Tian, Yangmin Ding, Sarper Ozharar, Ting Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Dense Traffic Detection at Highway-Railroad Grade Crossings.

Feng Guo, Zhuocheng Jiang, Yi Wang, Chen Chen, Yu Qian

IEEE Trans. Intell. Transp. Syst., 2022

A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings.

Zhuocheng Jiang, Ge Song, Yu Qian, Yi Wang

Neural Comput. Appl., 2022

Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.

Zhuocheng Jiang, Feng Guo, Yu Qian, Yi Wang, W. David Pan

Neural Comput. Appl., 2022

A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.

Zhuocheng Jiang, Feng Guo, Yu Qian, Yi Wang, W. David Pan

Neural Comput. Appl., 2022

Field Tests of Impulsive Acoustic Event Detection, Localization, and Classification Over Telecom Fiber Networks.

Ming-Fang Huang, Jian Fang, Shaobo Han, Zhuocheng Jiang, Sarper Ozharar, Yuheng Chen, Tomoyuki Hino, Ting Wang

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

2020

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery.

Zhuocheng Jiang, W. David Pan, Hongda Shen

J. Imaging, 2020

2018

Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression.

Zhuocheng Jiang, W. David Pan, Hongda Shen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Efficient Lossless Compression of Multitemporal Hyperspectral Image Data.

Hongda Shen, Zhuocheng Jiang, W. David Pan

J. Imaging, 2018

LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images.

Zhuocheng Jiang, W. David Pan, Hongda Shen

Proceedings of the 6th IEEE International Conference on Wireless for Space and Extreme Environments, 2018

2017

Biased Run-Length Coding of Bilevel Classification Label Maps of Hyperspectral Images.

Amir Leon Liaghati, W. David Pan, Zhuocheng Jiang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.

Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells.

Yuhang Dong, Zhuocheng Jiang, Hongda Shen, W. David Pan, Lance A. Williams, Vishnu V. B. Reddy, William H. Benjamin, Allen W. Bryan

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017