| Fast adaptive K-means subspace clustering for high-dimensional data XD Wang, RC Chen, F Yan, ZQ Zeng, CQ Hong IEEE Access 7, 42639-42651, 2019 | 90 | 2019 |
| Progressive local filter pruning for image retrieval acceleration X Wang, Z Zheng, Y He, F Yan, Z Zeng, Y Yang IEEE Transactions on Multimedia 25, 9597-9607, 2023 | 51 | 2023 |
| Robust dimension reduction for clustering with local adaptive learning XD Wang, RC Chen, ZQ Zeng, CQ Hong, F Yan IEEE transactions on neural networks and learning systems 30 (3), 657-669, 2018 | 47 | 2018 |
| Semi-supervised feature selection based on local discriminative information Z Zeng, X Wang, J Zhang, Q Wu Neurocomputing 173, 102-109, 2016 | 45 | 2016 |
| Hypergraph regularized autoencoder for image-based 3D human pose recovery C Hong, X Chen, X Wang, C Tang Signal processing 124, 132-140, 2016 | 44 | 2016 |
| Unsupervised spectral feature selection with l1-norm graph X Wang, X Zhang, Z Zeng, Q Wu, J Zhang Neurocomputing 200, 47-54, 2016 | 42 | 2016 |
| Adaptive multi-view subspace clustering for high-dimensional data F Yan, X Wang, Z Zeng, C Hong Pattern Recognition Letters 130, 299-305, 2020 | 41 | 2020 |
| A fast and stable lane detection method based on B-spline curve H Xu, X Wang, H Huang, K Wu, Q Fang 2009 IEEE 10th International Conference on Computer-Aided Industrial Design …, 2009 | 41 | 2009 |
| Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embedding X Wang, RC Chen, C Hong, Z Zeng, Z Zhou Image and Vision Computing 63, 10-23, 2017 | 36 | 2017 |
| Place recognition: An overview of vision perspective Z Zeng, J Zhang, X Wang, Y Chen, C Zhu Applied Sciences 8 (11), 2257, 2018 | 33 | 2018 |
| Soft person reidentification network pruning via blockwise adjacent filter decaying X Wang, Z Zheng, Y He, F Yan, Z Zeng, Y Yang IEEE Transactions on Cybernetics 52 (12), 13293-13307, 2021 | 31 | 2021 |
| 基于 B 样条曲线模型的结构化道路检测算法 许华荣， 王晓栋， 方遒 自动化学报 37 (003), 270-275, 2011 | 25 | 2011 |
| Structure road detection algorithm based on B-spline curve model HR Xu, XD Wang, Q Fang Acta Automatica Sinica 37 (3), 270-275, 2011 | 21 | 2011 |
| Local adaptive learning for semi-supervised feature selection with group sparsity Z Zeng, X Wang, F Yan, Y Chen Knowledge-Based Systems 181, 104787, 2019 | 18 | 2019 |
| Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data X Wang, P Wu, Q Xu, Z Zeng, Y Xie Knowledge-Based Systems 232, 107443, 2021 | 16 | 2021 |
| Semi-supervised feature selection with exploiting shared information among multiple tasks X Wang, RC Chen, F Yan, Z Zeng Journal of Visual Communication and Image Representation 41, 272-280, 2016 | 14 | 2016 |
| Camera calibration based on perspective geometry and its application in LDWS H Xu, X Wang Physics Procedia 33, 1626-1633, 2012 | 14 | 2012 |
| High-dimensional Data Clustering Using K-means Subspace Feature Selection. X Wang, RC Chen, F Yan J. Netw. Intell. 4 (3), 80-87, 2019 | 13 | 2019 |
| Unsupervised feature analysis with sparse adaptive learning X Wang, C Rung-Ching, C Hong, Z Zeng Pattern Recognition Letters 102, 89-94, 2018 | 11 | 2018 |
| Domain adaptation with low-rank alignment for weakly supervised hand pose recovery C Hong, Z Zeng, R Xie, W Zhuang, X Wang Signal Processing 142, 223-230, 2018 | 9 | 2018 |
Rung-Ching Chen (陳榮靜); R.C. ChenChaoyang University of TechnologyEmail yang diverifikasi di cyut.edu.tw