| Hyperspectral image classification based on three-dimensional scattering wavelet transform YY Tang, Y Lu, H Yuan IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2467-2480, 2015 | 126 | 2015 |
| Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift Y Lu, Y Cheung, YY Tang International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017 | 48 | 2017 |
| Hyperspectral image classification using wavelet transform-based smooth ordering L Yang, H Su, C Zhong, Z Meng, H Luo, X Li, YY Tang, Y Lu International Journal of Wavelets, Multiresolution and Information …, 2019 | 47 | 2019 |
| Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem Y Lu, Y Cheung, YY Tang IEEE Transactions on Neural Networks and Learning Systems, 2019 | 43 | 2019 |
| The generalization ability of online SVM classification based on Markov sampling J Xu, YY Tang, B Zou, Z Xu, L Li, Y Lu IEEE Transactions on Neural Networks and Learning Systems 26 (3), 628-639, 2015 | 42 | 2015 |
| Hyperspectral image classification based on regularized sparse representation H Yuan, YY Tang, Y Lu, L Yang, H Luo IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 41 | 2014 |
| The generalization ability of SVM classification based on Markov sampling J Xu, YY Tang, B Zou, Z Xu, L Li, Y Lu, B Zhang IEEE Transactions on Cybernetics 45 (6), 1169-1179, 2015 | 37 | 2015 |
| Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering Y Lu, Y Cheung, YY Tang IEEE Transactions on Cybernetics, 2019 | 33 | 2019 |
| Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift Y Lu, YM Cheung, YY Tang IEEE Transactions on Neural Networks and Learning Systems 31 (8), 2764-2778, 2020 | 32 | 2020 |
| Spectral-spatial classification of hyperspectral image based on discriminant analysis H Yuan, YY Tang, Y Lu, L Yang, H Luo IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 31 | 2013 |
| Hybrid Sampling with Bagging for Class Imbalance Learning Y Lu, Y Cheung, YY Tang Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016 …, 2016 | 27 | 2016 |
| A fractal dimension and wavelet transform based method for protein sequence similarity analysis L Yang, YY Tang, Y Lu, H Luo IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (2 …, 2014 | 23 | 2014 |
| Generalization performance of Gaussian kernels SVMC based on Markov sampling J Xu, YY Tang, B Zou, Z Xu, L Li, Y Lu Neural networks 53, 40-51, 2014 | 20 | 2014 |
| Towards a unified middle modality learning for visible-infrared person re-identification Y Zhang, Y Yan, Y Lu, H Wang ACM International Conference on Multimedia (MM), 788-796, 2021 | 18 | 2021 |
| The generalization performance of regularized regression algorithms based on Markov sampling B Zou, YY Tang, Z Xu, L Li, J Xu, Y Lu IEEE Transactions on Cybernetics 44 (9), 1497-1507, 2014 | 18 | 2014 |
| k-Times Markov Sampling for SVMC B Zou, C Xu, Y Lu, YY Tang, J Xu, X You IEEE Transactions on Neural Networks and Learning Systems, 2017 | 13 | 2017 |
| Spectral-spatial linear discriminant analysis for hyperspectral image classification H Yuan, Y Lu, L Yang, H Luo, YY Tang IEEE International Conference on Cybernetics (CYBCONF 2013), 144-149, 2013 | 13 | 2013 |
| Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment M Li, Y Cheung, Y Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 10 | 2022 |
| Recurrent context aggregation network for single image dehazing C Wang, R Chen, Y Lu, Y Yan, H Wang IEEE Signal Processing Letters 28, 419-423, 2021 | 10 | 2021 |
| GOBoost: G-mean optimized boosting framework for class imbalance learning Y Lu, Y Cheung, YY Tang 12th World Congress on Intelligent Control and Automation (WCICA 2016), 3149 …, 2016 | 8 | 2016 |
Yuan Yan TangUniversity of Macau在 umac.mo 的电子邮件经过验证
