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Zhuocheng Jiang
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2020 – today
- 2024
- [c7]Zhuocheng Jiang, Yangmin Ding, Junhui Zhao, Yue Tian, Shaobo Han, Sarper Ozharar, Ting Wang, James M. Moore:
Seeing the Vibration from Fiber-Optic Cables: Rain Intensity Monitoring using Deep Frequency Filtering. CVPR Workshops 2024: 3017-3026 - [c6]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: 1-5 - 2023
- [j9]Zhuocheng Jiang, Seong Hyeon Hong, Benjamin Albia, Adrian A. Hood, Asha J. Hall
A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments. Neural Comput. Appl. 35(8): 5923-5937 (2023) - [c5]Zhuocheng Jiang, Yue Tian, Yangmin Ding, Sarper Ozharar, Ting Wang:
Utility Polelocalization by Learning from Ambient Traces on Distributed Acoustic Sensing. ICASSP 2023: 1-5 - 2022
- [j8]Zhuocheng Jiang, Feng Guo
A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings. Neural Comput. Appl. 34(6): 4715-4732 (2022) - [j7]Zhuocheng Jiang, Feng Guo
Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings. Neural Comput. Appl. 34(8): 6577 (2022) - [j6]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): 22099-22113 (2022) - [j5]Feng Guo
Dense Traffic Detection at Highway-Railroad Grade Crossings. IEEE Trans. Intell. Transp. Syst. 23(9): 15498-15511 (2022) - [c4]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: 1-3 - 2020
- [j4]Zhuocheng Jiang, W. David Pan
Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. J. Imaging 6(6): 38 (2020)
2010 – 2019
- 2018
- [j3]Hongda Shen, Zhuocheng Jiang, W. David Pan:
Efficient Lossless Compression of Multitemporal Hyperspectral Image Data. J. Imaging 4(12): 142 (2018) - [j2]Zhuocheng Jiang, W. David Pan
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): 3830-3840 (2018) - [c3]Zhuocheng Jiang, W. David Pan, Hongda Shen:
LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images. WiSEE 2018: 158-162 - 2017
- [j1]Amir Leon Liaghati
Biased Run-Length Coding of Bilevel Classification Label Maps of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(10): 4580-4588 (2017) - [c2]Yuhang Dong
Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells. BHI 2017: 101-104 - [c1]Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang:
Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression. IGARSS 2017: 2239-2242
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