Determining the effect of spatial resolution in land use classification using optical aerial imagery. - Han Jiang 005; Alex Smith; Zilong Zhong; Jonathan Li 001 (IGARSS, 2016)

Fully convolutional networks for building and road extraction: Preliminary results. - Zilong Zhong; Jonathan Li 001; Weihong Cui; Han Jiang 005 (IGARSS, 2016)

Deep residual networks for hyperspectral image classification. - Zilong Zhong; Jonathan Li 001; Lingfei Ma; Han Jiang 005; He Zhao 007 (IGARSS, 2017)

Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification. - Zilong Zhong; Jonathan Li 001 (AAAI, 2018)

Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework. - Zilong Zhong; Jonathan Li 001; Zhiming Luo; Michael A. Chapman (IEEE Trans. Geosci. Remote. Sens., 2018)

Squeeze-and-Attention Networks for Semantic Segmentation. - Zilong Zhong; Zhong Qiu Lin; Rene Bidart; Xiaodan Hu; Ibrahim Ben Daya; Jonathan Li 001; Alexander Wong (CoRR, 2019)

Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds. - Lingfei Ma; Ying Li 036; Jonathan Li 001; Zilong Zhong; Michael A. Chapman (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification. - Zilong Zhong (2019)

Squeeze-and-Attention Networks for Semantic Segmentation. - Zilong Zhong; Zhong Qiu Lin; Rene Bidart; Xiaodan Hu; Ibrahim Ben Daya; Zhifeng Li; Wei-Shi Zheng 001; Jonathan Li 001; Alexander Wong (CVPR, 2020)

Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification. - Zilong Zhong; Jonathan Li 001; David A. Clausi; Alexander Wong (IEEE Trans. Cybern., 2020)

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation. - Ying Li 036; Lingfei Ma; Zilong Zhong; Dongpu Cao; Jonathan Li 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. - Ying Li 036; Lingfei Ma; Zilong Zhong; Fei Liu; Michael A. Chapman; Dongpu Cao; Jonathan Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework. - Zilong Zhong; Ying Li 036; Lingfei Ma; Jonathan Li 001; Wei-Shi Zheng 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

In-Season Wall-to-Wall Crop-Type Mapping Using Ensemble of Image Segmentation Models. - Sheir A. Zaheer; Youngryel Ryu; Junghee Lee; Zilong Zhong; Kyungdo Lee (IEEE Trans. Geosci. Remote. Sens., 2023)

Decoding the application of deep learning in neuroscience: a bibliometric analysis. - Yin Li; Zilong Zhong (Frontiers Comput. Neurosci., 2024)

Multilingual Digital Humanities. Lorella Viola and Paul Spence. - Zilong Zhong (Digit. Scholarsh. Humanit., 2024)

Introduction to Digital Humanities: Enhancing Scholarship with the Use of Technology. Kathryn C. Wymer. - Zilong Zhong; Lin Fan (Digit. Scholarsh. Humanit., 2024)

Deciphering the impact of machine learning on education: Insights from a bibliometric analysis using bibliometrix R-package. - Zilong Zhong; Hui Guo; Kun Qian (Educ. Inf. Technol., 2024)