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2020 – today
- 2024
[j30]Yu Duan
, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie:
Scalable and parameter-free fusion graph learning for multi-view clustering. Neurocomputing 597: 128037 (2024)- [j29]Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li:
A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 659-666 (2024) - [j28]Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li:
Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Trans. Cybern. 54(4): 2420-2433 (2024) - [j27]Xiaojun Yang, Tuoji Zhu, Danyang Wu, Penglei Wang, Yujia Liu, Feiping Nie:
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(11): 5675-5680 (2024) - [j26]Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j25]Danyang Wu, Xia Dong, Jianfu Cao, Rong Wang, Feiping Nie, Xuelong Li:
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8939-8953 (2024) - [j24]Rong Wang, Penglei Wang, Danyang Wu, Zhensheng Sun, Feiping Nie, Xuelong Li:
Multi-View and Multi-Order Structured Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14437-14448 (2024) - [j23]Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie:
Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering. IEEE Trans. Signal Process. 72: 2221-2232 (2024) - [c8]Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie:
Simple Multigraph Convolution Networks. WWW (Companion Volume) 2024: 794-797 - [i3]Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie:
Simple Multigraph Convolution Networks. CoRR abs/2403.05014 (2024) - 2023
- [j22]Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie:
Mutual-Taught Deep Clustering. Knowl. Based Syst. 282: 111100 (2023) - [j21]Zhengxin Li, Feiping Nie, Jintang Bian, Danyang Wu, Xuelong Li:
Sparse PCA via $\ell _{2,p}$ℓ2,p-Norm Regularization for Unsupervised Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5322-5328 (2023) - [j20]Zhengxin Li, Feiping Nie, Danyang Wu, Zhanxuan Hu, Xuelong Li:
Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors. IEEE Trans. Cybern. 53(2): 1260-1271 (2023) - [j19]Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li:
Effective Clustering via Structured Graph Learning. IEEE Trans. Knowl. Data Eng. 35(8): 7909-7920 (2023) - [j18]Yuting Zhu, Danyang Wu, Hongtao Zhang:
Tunable SRS-Aware Robust Coordinated Beamforming Design With Channel Aging. IEEE Trans. Veh. Technol. 72(12): 16754-16759 (2023) - [c7]Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie:
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion. ACM Multimedia 2023: 3268-3276 - [i2]Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie:
NP2L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks. CoRR abs/2310.01098 (2023) - [i1]Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li:
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization. CoRR abs/2311.15214 (2023) - 2022
- [j17]Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-view clustering with adaptive procrustes on Grassmann manifold. Inf. Sci. 609: 855-875 (2022) - [j16]Danyang Wu, Han Wang, Zhanxuan Hu, Feiping Nie:
Improved deep metric learning with local neighborhood component analysis. Inf. Sci. 617: 165-176 (2022) - [j15]Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li:
Truncated Robust Principle Component Analysis With A General Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1081-1097 (2022) - [j14]Feiping Nie, Jingjing Xue, Danyang Wu, Rong Wang, Hui Li, Xuelong Li:
Coordinate Descent Method for $k$k-means. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2371-2385 (2022) - [j13]Danyang Wu, Wei Chang, Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li:
Adaptive-order proximity learning for graph-based clustering. Pattern Recognit. 126: 108550 (2022) - [j12]Danyang Wu, Xia Dong, Feiping Nie, Rong Wang, Xuelong Li:
An attention-based framework for multi-view clustering on Grassmann manifold. Pattern Recognit. 128: 108610 (2022) - [j11]Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li:
Balanced Graph Cut With Exponential Inter-Cluster Compactness. IEEE Trans. Artif. Intell. 3(4): 498-505 (2022) - [j10]Danyang Wu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li:
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7944-7950 (2022) - [c6]Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan:
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion. IJCAI 2022: 3566-3572 - 2021
- [j9]Danyang Wu, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li:
Multi-view clustering with interactive mechanism. Neurocomputing 449: 378-388 (2021) - [j8]Han Zhang, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection. Inf. Fusion 70: 129-140 (2021) - [j7]Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang:
Generalization bottleneck in deep metric learning. Inf. Sci. 581: 249-261 (2021) - [j6]Danyang Wu, Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li:
Multi-Directional Multi-Label Learning. Signal Process. 187: 108143 (2021) - [j5]Ziheng Li, Danyang Wu, Feiping Nie, Rong Wang, Zhensheng Sun, Xuelong Li:
Multi-View Clustering Based on Invisible Weights. IEEE Signal Process. Lett. 28: 1051-1055 (2021) - [j4]Danyang Wu, Hongtao Zhang:
Tractable Modelling and Robust Coordinated Beamforming Design With Partially Accurate CSI. IEEE Wirel. Commun. Lett. 10(11): 2384-2387 (2021) - [c5]Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Dependence-Guided Multi-View Clustering. ICASSP 2021: 3650-3654 - [c4]Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li:
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data. IJCAI 2021: 3185-3191 - 2020
- [j3]Danyang Wu, Han Zhang, Feiping Nie, Rong Wang, Chao Yang, Xiaoxue Jia, Xuelong Li:
Double-Attentive Principle Component Analysis. IEEE Signal Process. Lett. 27: 1814-1818 (2020) - [j2]Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li:
Self-Weighted Clustering With Adaptive Neighbors. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3428-3441 (2020) - [c3]Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-View Clustering Via Mixed Embedding Approximation. ICASSP 2020: 3977-3981 - [c2]Danyang Wu, Hongtao Zhang:
Fine-grained Analysis and Optimization of Flexible Spatial Difference in User-centric Network. WCNC 2020: 1-6
2010 – 2019
- 2012
- [j1]Hang Yang, Zhongbo Zhang, Danyang Wu:
Image deconvolution using incomplete Fourier measurements. Int. J. Imaging Syst. Technol. 22(4): 233-240 (2012)
2000 – 2009
- 2005
- [c1]Zhongbo Zhang, Siliang Ma, Danyang Wu:
The Application of Neural Network and Wavelet in Human Face Illumination Compensation. ISNN (2) 2005: 828-835
Coauthor Index
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