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Jitao Lu
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2020 – today
- 2024
- [j10]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) - [j9]Danyang Wu
, Zhenkun Yang
, Jitao Lu
, Jin Xu
, Xiangmin Xu
, Feiping Nie
:
EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7878-7892 (2024) - [j8]Jitao Lu
, Feiping Nie
, Xia Dong
, Rong Wang
, Xuelong Li
:
Bidirectional Attentive Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(5): 1889-1901 (2024) - [j7]Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j6]Jitao Lu
, Feiping Nie
, Rong Wang
, Xuelong Li
:
Fast Multiview Clustering by Optimal Graph Mining. IEEE Trans. Neural Networks Learn. Syst. 35(9): 13071-13077 (2024) - [j5]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) - [c6]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
- [j4]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) - [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
- [j3]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) - [j2]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) - [j1]Rong Wang
, Jitao Lu
, Yihang Lu
, Feiping Nie
, Xuelong Li
:
Discrete and Parameter-Free Multiple Kernel k-Means. IEEE Trans. Image Process. 31: 2796-2808 (2022) - [c5]Yihang Lu
, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li:
Self-Paced and Discrete Multiple Kernel k-Means. CIKM 2022: 4284-4288 - [c4]Jitao Lu, Yihang Lu
, Rong Wang, Feiping Nie, Xuelong Li:
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation. ICASSP 2022: 4143-4147 - [c3]Yihang Lu
, Jitao Lu, Rong Wang, Feiping Nie:
Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning. ICASSP 2022: 4153-4157 - [c2]Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan:
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion. IJCAI 2022: 3566-3572 - 2021
- [c1]Rong Wang, Jitao Lu
, Yihang Lu
, Feiping Nie, Xuelong Li:
Discrete Multiple Kernel k-means. IJCAI 2021: 3111-3117
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