Zhuocheng Jiang

19 papers C 1Misc 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
DiffOptics: A Conditional Diffusion Model for Fiber Optics Sensing Data Imputation.
OFC
Zhuocheng Jiang, Yue Tian, Yangmin Ding, Sarper Ozharar, Ting Wang
2025 — conf
End-to-End AI for Distributed Fiber Optics Sensing: Eliminating Intermediate Processing via Raw Data Learning.
ECOC
Zhuocheng Jiang, Yue Tian, Yuheng Chen, Yangmin Ding, Sarper Ozharar, Ting Wang
2025 — conf
Utilizing Distributed Acoustic Sensing with Telecom Fibers for Entomological Observations.
ECOC
Sarper Ozharar, Yue Tian, Yangmin Ding, Zhuocheng Jiang, Ting Wang
2024 — conf
Distributed Fiber Optic Sensing for Fault Localization Caused by Fallen Tree Using Physics-informed ResNet.
ISGT
Yangmin Ding, Sarper Ozharar, Zhuocheng Jiang, Yue Tian, Ting Wang, Junbo Zhao
2024 — conf
Seeing the Vibration from Fiber-Optic Cables: Rain Intensity Monitoring using Deep Frequency Filtering.
CVPR Workshops
Zhuocheng Jiang, Yangmin Ding, Junhui Zhao, Yue Tian, Shaobo Han, Sarper Ozharar, Ting Wang, James M. Moore
2023 J jnl
A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments.
Neural Comput. Appl.
Zhuocheng Jiang, Seong Hyeon Hong, Benjamin Albia, Adrian A. Hood, Asha J. Hall, Jackson Cornelius, Yi Wang
2023 Misc conf
Utility Polelocalization by Learning from Ambient Traces on Distributed Acoustic Sensing.
ICASSP
Zhuocheng Jiang, Yue Tian, Yangmin Ding, Sarper Ozharar, Ting Wang
2022 J jnl
A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings.
Neural Comput. Appl.
Zhuocheng Jiang, Ge Song, Yu Qian, Yi Wang
2022 J jnl
A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl.
Zhuocheng Jiang, Feng Guo, Yu Qian, Yi Wang, W. David Pan
2022 J jnl
Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl.
Zhuocheng Jiang, Feng Guo, Yu Qian, Yi Wang, W. David Pan
2022 J jnl
Dense Traffic Detection at Highway-Railroad Grade Crossings.
IEEE Trans. Intell. Transp. Syst.
Feng Guo, Zhuocheng Jiang, Yi Wang, Chen Chen, Yu Qian
2022 — conf
Field Tests of Impulsive Acoustic Event Detection, Localization, and Classification Over Telecom Fiber Networks.
OECC/PSC
Ming-Fang Huang, Jian Fang, Shaobo Han, Zhuocheng Jiang, Sarper Ozharar, Yuheng Chen, Tomoyuki Hino, Ting Wang
2020 J jnl
Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery.
J. Imaging
Zhuocheng Jiang, W. David Pan, Hongda Shen
2018 J jnl
Efficient Lossless Compression of Multitemporal Hyperspectral Image Data.
J. Imaging
Hongda Shen, Zhuocheng Jiang, W. David Pan
2018 — conf
LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images.
WiSEE
Zhuocheng Jiang, W. David Pan, Hongda Shen
2018 J jnl
Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhuocheng Jiang, W. David Pan, Hongda Shen
2017 J jnl
Biased Run-Length Coding of Bilevel Classification Label Maps of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Amir Leon Liaghati, W. David Pan, Zhuocheng Jiang
2017 — conf
Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells.
BHI
Yuhang Dong, Zhuocheng Jiang, Hongda Shen, W. David Pan, Lance A. Williams, Vishnu V. B. Reddy, William H. Benjamin, Allen W. Bryan
2017 C conf
Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.
IGARSS
Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang