| 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 | 60 | 2019 |
| Hypergraph regularized autoencoder for image-based 3D human pose recovery C Hong, X Chen, X Wang, C Tang Signal Processing 124, 132-140, 2016 | 40 | 2016 |
| Semi-supervised feature selection based on local discriminative information Z Zeng, X Wang, J Zhang, Q Wu Neurocomputing 173, 102-109, 2016 | 35 | 2016 |
| 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 | 28 | 2017 |
| Unsupervised spectral feature selection with l1-norm graph X Wang, X Zhang, Z Zeng, Q Wu, J Zhang Neurocomputing 200, 47-54, 2016 | 28 | 2016 |
| 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 | 26 | 2018 |
| 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 | 23 | 2011 |
| Adaptive multi-view subspace clustering for high-dimensional data F Yan, X Wang, Z Zeng, C Hong Pattern Recognition Letters 130, 299-305, 2020 | 21 | 2020 |
| Progressive Local Filter Pruning for Image Retrieval Acceleration X Wang, Z Zheng, Y He, F Yan, Z Zeng, Y Yang arXiv preprint arXiv:2001.08878, 2020 | 15 | 2020 |
| 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 | 12 | 2016 |
| 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 | 9 | 2019 |
| Unsupervised feature analysis with sparse adaptive learning X Wang, C Rung-Ching, C Hong, Z Zeng Pattern Recognition Letters 102, 89-94, 2018 | 8 | 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, 2021 | 7 | 2021 |
| Two-stream person re-identification with multi-task deep neural networks L Hu, C Hong, Z Zeng, X Wang Machine Vision and Applications 29 (6), 947-954, 2018 | 7 | 2018 |
| High-dimensional Data Clustering Using K-means Subspace Feature Selection. XD Wang, RC Chen, F Yan J. Netw. Intell. 4 (3), 80-87, 2019 | 6 | 2019 |
| Semi-supervised adaptive feature analysis and its application for multimedia understanding X Wang, RC Chen, F Yan, Z Zeng, C Hong Multimedia Tools and Applications 77 (3), 3083-3104, 2018 | 6 | 2018 |
| Multimedia annotation via semi-supervised shared-subspace feature selection Z Zeng, X Wang, Y Chen Journal of Visual Communication and Image Representation 48, 386-395, 2017 | 6 | 2017 |
| 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 | 5 | 2018 |
| Fast and robust K-means clustering via feature learning on high-dimensional data XD Wang, RC Chen, F Yan 2017 IEEE 8th International Conference on Awareness Science and Technology …, 2017 | 4 | 2017 |
| 一种基于线结构光的焊缝三维重建方法 郑鹭斌， 王晓栋， 严菲 激光与光电子学进展 51 (4), 118-124, 2014 | 4 | 2014 |
Rung-Ching Chen (陳榮靜); R.C. ChenChaoyang University of TechnologyVerified email at cyut.edu.tw
