Spatial identification and dynamic analysis of land use functions reveals distinct zones of multiple functions in eastern China YZ Yeting Fan, Xiaobin Jin, Le Gan, Laura H. Jessup, Bryan C. Pijanowski ... Science of the Total Environment 642, 33-44, 2018 | 81 | 2018 |
Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China Y Fan, L Gan, C Hong, LH Jessup, X Jin, BC Pijanowski, Y Sun, L Lv Science of the Total Environment 772, 145022, 2021 | 58 | 2021 |
Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery G Le, X Junshi, D Peijun, C Jocelyn IEEE Transactions on Geoscience and Remote Sensing, 1-14, 2018 | 39 | 2018 |
Multisource earth observation data for land-cover classification using random forest Z Xu, J Chen, J Xia, P Du, H Zheng, L Gan IEEE Geoscience and Remote Sensing Letters 15 (5), 789-793, 2018 | 38 | 2018 |
Kernel Fused Representation-Based Classifier for Hyperspectral Imagery L Gan, P Du, J Xia, Y Meng IEEE Geoscience and Remote Sensing Letters 14 (5), 684-688, 2017 | 26 | 2017 |
Dynamics of spatial associations among multiple land use functions and their driving mechanisms: A case study of the Yangtze River Delta region, China Y Fan, X Jin, L Gan, LH Jessup, BC Pijanowski, J Lin, Q Yang, L Lyu Environmental Impact Assessment Review 97, 106858, 2022 | 21 | 2022 |
Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification L Gan, J Xia, P Du, J Chanussot IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 21 | 2018 |
Dissimilarity-weighted sparse representation for hyperspectral image classification L Gan, J Xia, P Du, Z Xu IEEE Geoscience and Remote Sensing Letters 14 (11), 1968-1972, 2017 | 20 | 2017 |
Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification P Du, L Gan, J Xia, D Wang IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4664-4677, 2018 | 19 | 2018 |
Evaluating and predicting the effectiveness of farmland consolidation on improving agricultural productivity in China Y Fan, X Jin, X Xiang, L Gan, X Yang, Z Zhang, Y Zhou Plos One, 2018 | 10 | 2018 |
Aggregate or not? exploring where to privatize in dnn based federated learning under different non-iid scenes XC Li, L Gan, DC Zhan, Y Shao, B Li, S Song arXiv preprint arXiv:2107.11954, 2021 | 8 | 2021 |
Exploring an integrated framework for “dynamic-mechanism-clustering” of multiple cultivated land functions in the Yangtze River Delta region Y Fan, X Jin, L Gan, Q Yang, L Wang, L Lyu, Y Li Applied Geography 159, 103061, 2023 | 6 | 2023 |
Towards enabling meta-learning from target models S Lu, HJ Ye, L Gan, DC Zhan Advances in Neural Information Processing Systems 34, 8060-8071, 2021 | 5 | 2021 |
Avoid overfitting user specific information in federated keyword spotting XC Li, JL Tang, S Song, B Li, Y Li, Y Shao, L Gan, DC Zhan arXiv preprint arXiv:2206.08864, 2022 | 4 | 2022 |
Beyond probability partitions: Calibrating neural networks with semantic aware grouping JQ Yang, DC Zhan, L Gan Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Exploring transferability measures and domain selection in cross-domain slot filling XC Li, YJ Wang, L Gan, DC Zhan ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring K Huang, M Shao, S Wan, HH Sun, S Feng, L Gan, DC Zhan arXiv preprint arXiv:2404.03386, 2024 | | 2024 |
DIDA: Denoised Imitation Learning based on Domain Adaptation K Huang, HH Sun, S Wan, M Shao, S Feng, L Gan, DC Zhan arXiv preprint arXiv:2404.03382, 2024 | | 2024 |
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors Y Wang, S Wan, L Gan, S Feng, DC Zhan arXiv preprint arXiv:2403.09976, 2024 | | 2024 |
A method of rice information extraction based on Particle Swarm Optimization SVM algorithm Y Li, P Du, Z Xue, L Gan, X Wang, H Liang Proceedings of the 2018 10th International Conference on Machine Learning …, 2018 | | 2018 |