Jitao Lu

According to our database, Jitao Lu authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fast Multiview Clustering by Optimal Graph Mining.

Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Bidirectional Attentive Multi-View Clustering.

Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li

IEEE Trans. Knowl. Data Eng., May, 2024

A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization.

Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering.

Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie

IEEE Trans. Signal Process., 2024

Hyperspherical Prototype Node Clustering.

Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li

Trans. Mach. Learn. Res., 2024

Simple Multigraph Convolution Networks.

Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Effective Clustering via Structured Graph Learning.

Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li

IEEE Trans. Knowl. Data Eng., August, 2023

NP²L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks.

Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie

CoRR, 2023

2022

Discrete and Parameter-Free Multiple Kernel k-Means.

Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li

IEEE Trans. Image Process., 2022

Balanced Graph Cut With Exponential Inter-Cluster Compactness.

Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li

IEEE Trans. Artif. Intell., 2022

Adaptive-order proximity learning for graph-based clustering.

Danyang Wu, Wei Chang, Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li

Pattern Recognit., 2022

EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion.

Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation.

Jitao Lu, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li

Proceedings of the IEEE International Conference on Acoustics, 2022

Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning.

Yihang Lu, Jitao Lu, Rong Wang, Feiping Nie

Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Paced and Discrete Multiple Kernel <i>k</i>-Means.

Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Discrete Multiple Kernel k-means.

Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021