| Hyperspectral image classification based on three-dimensional scattering wavelet transform YY Tang, Y Lu, H Yuan IEEE Transactions on Geoscience and Remote Sensing (TGRS) 53 (5), 2467-2480, 2015 | 139 | 2015 |
| 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 | 89 | 2019 |
| 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 | 79 | 2021 |
| 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 (TNNLS) 31 (9 …, 2020 | 68 | 2020 |
| 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), 6929-6938, 2022 | 63 | 2022 |
| 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), 2393-2399, 2017 | 63 | 2017 |
| 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 (TNNLS) 31 (8 …, 2020 | 59 | 2020 |
| 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 (TCyb) 15 (3), 1598-1612, 2021 | 52 | 2021 |
| 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 (TCyb) 45 (6), 1169-1179, 2015 | 46 | 2015 |
| 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 (TNNLS) 26 (3 …, 2015 | 46 | 2015 |
| Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features X Shang, Y Lu*, G Huang, H Wang International Joint Conference on Artificial Intelligence (IJCAI), 2393-2399, 2022 | 43 | 2022 |
| 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 | 39 | 2014 |
| 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 | 34 | 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), 14-26, 2016 | 31 | 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 (TCBB) 12 …, 2014 | 23 | 2014 |
| FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation X Shang, Y Lu*, Y Cheung, H Wang IEEE International Conference on Multimedia and Expo (ICME), 2022 | 20 | 2022 |
| Generalization performance of Gaussian kernels SVMC based on Markov sampling J Xu, YY Tang, B Zou, Z Xu, L Li, Y Lu Neural Networks (NN) 53, 40-51, 2014 | 20 | 2014 |
| 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 (TCyb) 44 (9), 1497-1507, 2014 | 19 | 2014 |
| 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), 144-149, 2013 | 18 | 2013 |
| 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 (TNNLS) 29 (4 …, 2018 | 15 | 2018 |
Hanzi WangProfessor of Xiamen UniversityDirección de correo verificada de xmu.edu.cn
