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2020 – today
- 2025
[j8]Zihua Zhao
, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie:
Multi-view clustering via high-order bipartite graph fusion. Inf. Fusion 113: 102630 (2025)- [j7]Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie:
Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. IEEE Trans. Circuits Syst. Video Technol. 35(3): 2616-2631 (2025) - [j6]Zhe Cao, Yihang Lu, Jinghui Yuan, Haonan Xin, Rong Wang, Feiping Nie:
Tensorized Graph Learning for Spectral Ensemble Clustering. IEEE Trans. Circuits Syst. Video Technol. 35(3): 2662-2674 (2025) - [j5]Zhe Cao, Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Mathieu Sebilo:
Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j4]Haonan Xin, Danyang Wu, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li:
Multiview Clustering via Block Diagonal Graph Filtering. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14269-14282 (2025) - [c4]Zhe Cao, Haonan Xin, Bo Yan, Jinping Sui, Rong Wang:
Dimensionality-Reduced Spatial Bipartite Graph Clustering for Hyperspectral and LiDAR Data. ICASSP 2025: 1-5 - [c3]Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang:
Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning. ICASSP 2025: 1-5 - 2024
- [j3]Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie:
Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. Inf. Fusion 111: 102483 (2024) - [c2]Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie:
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. WWW 2024: 322-333 - 2023
- [j2]Yihang Lu, Xuan Zheng, Haonan Xin, Haoliang Tang, Rong Wang, Feiping Nie:
Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery. Signal Process. 204: 108835 (2023) - [j1]Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie:
Self-Weighted Euler $k$-Means Clustering. IEEE Signal Process. Lett. 30: 1127-1131 (2023) - 2022
- [c1]Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li:
Scalable Multiple Kernel k-means Clustering. CIKM 2022: 4279-4283
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