| Semi-supervised classification of hyperspectral images based on extended label propagation and rolling guidance filtering B Cui, X Xie, S Hao, J Cui, Y Lu Remote Sensing 10 (4), 515, 2018 | 18 | 2018 |
| Deep learning with synthetic hyperspectral images for improved soil detection in multispectral imagery Y Lu, D Perez, M Dao, C Kwan, J Li Proceedings of the IEEE Ubiquitous Computing, Electronics & Mobile …, 2018 | 16 | 2018 |
| Combining Satellite Images with Feature Indices for Improved Change Detection D Perez, Y Lu, C Kwan, Y Shen, K Koperski, J Li IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference, 2018 | 12 | 2018 |
| Extracting raft aquaculture areas from remote sensing images via an improved U-net with a PSE structure B Cui, D Fei, G Shao, Y Lu, J Chu Remote Sensing 11 (17), 2053, 2019 | 10 | 2019 |
| SOC Dynamic Power Management Using Artificial Neural Network H Lu, Y Lu, Z Tang, S Wang Advances in Natural Computation, Second International Conference, 555-564, 2006 | 7 | 2006 |
| Attack tolerant big data file system BB Madan, Y Lu ACM Sigmetrics Big Data Analytics Workshop, 2013 | 6 | 2013 |
| Deep learning for Land Cover Classification using only a few bands C Kwan, B Ayhan, B Budavari, Y Lu, D Perez, J Li, S Bernabe, A Plaza Remote Sensing 12 (12), 2000, 2020 | 5 | 2020 |
| Semantic segmentation of remote sensing images using transfer learning and deep convolutional neural network with dense connection B Cui, X Chen, Y Lu IEEE Access 8, 116744-116755, 2020 | 4 | 2020 |
| Vegetation Detection Using Deep Learning and Conventional Methods B Ayhan, C Kwan, B Budavari, L Kwan, Y Lu, D Perez, J Li, D Skarlatos, ... Remote Sensing 12 (15), 2502, 2020 | 4 | 2020 |
| Generative Adversarial Network for Improving Deep Learning Based Malware Classification Y Lu, J Li Proceedings of Winter Simulation Conference 2019, 2019 | 4 | 2019 |
| Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study* R BurksKazi, A Islam, J Li, Y Lu The IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile …, 2019 | 4* | 2019 |
| A Sparse Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification B Cui, J Cui, Y Lu, N Guo, M Gong Remote Sensing 12 (4), 664, 2020 | 3 | 2020 |
| Hyperspectral image classification based on multiple kernel mutual learning B Cui, L Zhong, B Yin, G Ren, Y Lu Infrared Physics & Technology 99, 113-122, 2019 | 3 | 2019 |
| Deep Learning for Effective Refugee Tent Extraction Near Syria-Jordan Border Y Lu, K Koperski, C Kwan, J Li IEEE Geoscience and Remote Sensing Letters, 2020 | 2 | 2020 |
| Spectral-spatial hyperspectral image classification based on superpixel and multi-classifier fusion B Cui, J Cui, S Hao, N Guo, Y Lu International Journal of Remote Sensing 41 (16), 6157-6182, 2020 | 1 | 2020 |
| Deep Learning Based Malware Classification Using Deep Residual Network Y Lu, J Graham, J Li Proceeding of Modeling, Simulation and Visualization Student Capstone …, 2019 | 1 | 2019 |
| SANet: A Sea-land Segmentation Network via Adaptive Multi-Scale Feature Learning B Cui, W Jing, L Huang, Z Li, Y Lu IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 | | 2020 |
| Deep Learning for Remote Sensing Image Processing Y Lu | | 2020 |
| WetlandNet: Semantic Segmentation for Remote Sensing Images of Coastal Wetlands via Improved UNet with Deconvolution B Cui, Y Zhang, X Li, J Wu, Y Lu International Conference on Genetic and Evolutionary Computing, 281-292, 2019 | | 2019 |
| Research On System-Level Dynamic Power Management Using Learning Neural Networks H Lu, Y Lu, Z Tang, S Wang Internation Conference on Artificial Intelligence, 2006 | | 2006 |
Jiang LiOld Dominion UniversityVerified email at odu.edu
