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 (BHI, 2017)

Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression. - Hongda Shen; W. David Pan; Yuhang Dong; Zhuocheng Jiang (IGARSS, 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)

LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images. - Zhuocheng Jiang; W. David Pan; Hongda Shen (WiSEE, 2018)

Efficient Lossless Compression of Multitemporal Hyperspectral Image Data. - Hongda Shen; Zhuocheng Jiang; W. David Pan (J. Imaging, 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)

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. - Zhuocheng Jiang; W. David Pan; Hongda Shen (J. Imaging, 2020)

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 016 (OECC/PSC, 2022)

A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings. - Zhuocheng Jiang; Feng Guo; Yu Qian; Yi Wang 070; W. David Pan (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 070; W. David Pan (Neural Comput. Appl., 2022)

A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings. - Zhuocheng Jiang; Ge Song; Yu Qian; Yi Wang 070 (Neural Comput. Appl., 2022)

Dense Traffic Detection at Highway-Railroad Grade Crossings. - Feng Guo; Zhuocheng Jiang; Yi Wang 070; Chen Chen 001; Yu Qian (IEEE Trans. Intell. Transp. Syst., 2022)

Utility Polelocalization by Learning from Ambient Traces on Distributed Acoustic Sensing. - Zhuocheng Jiang; Yue Tian; Yangmin Ding; Sarper Ozharar; Ting Wang 016 (ICASSP, 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 070 (Neural Comput. Appl., 2023)

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 016; James M. Moore (CVPR Workshops, 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 016; Junbo Zhao 001 (ISGT, 2024)

DiffOptics: A Conditional Diffusion Model for Fiber Optics Sensing Data Imputation. - Zhuocheng Jiang; Yue Tian; Yangmin Ding; Sarper Ozharar; Ting Wang (OFC, 2025)