Haonan Xin

According to our database, Haonan Xin authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach.

Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie

IEEE Trans. Circuits Syst. Video Technol., March, 2025

Tensorized Graph Learning for Spectral Ensemble Clustering.

Zhe Cao, Yihang Lu, Jinghui Yuan, Haonan Xin, Rong Wang, Feiping Nie

IEEE Trans. Circuits Syst. Video Technol., March, 2025

Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data.

Zhe Cao, Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Mathieu Sebilo

IEEE Trans. Geosci. Remote. Sens., 2025

Multi-view clustering via high-order bipartite graph fusion.

Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie

Inf. Fusion, 2025

Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning.

Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Dimensionality-Reduced Spatial Bipartite Graph Clustering for Hyperspectral and LiDAR Data.

Zhe Cao, Haonan Xin, Bo Yan, Jinping Sui, Rong Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm.

Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie

Inf. Fusion, 2024

Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving.

Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie

Proceedings of the ACM on Web Conference 2024, 2024

2023

Self-Weighted Euler $k$-Means Clustering.

Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie

IEEE Signal Process. Lett., 2023

Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery.

Yihang Lu, Xuan Zheng, Haonan Xin, Haoliang Tang, Rong Wang, Feiping Nie

Signal Process., 2023

2022

Scalable Multiple Kernel <i>k</i>-means Clustering.

Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li

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