Scalable Multiple Kernel k-means Clustering. - Yihang Lu; Haonan Xin; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (CIKM, 2022)

Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery. - Yihang Lu; Xuan Zheng; Haonan Xin; Haoliang Tang; Rong Wang 001; Feiping Nie 001 (Signal Process., 2023)

Self-Weighted Euler $k$-Means Clustering. - Haonan Xin; Yihang Lu; Haoliang Tang; Rong Wang 001; Feiping Nie 001 (IEEE Signal Process. Lett., 2023)

Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. - Zhezheng Hao; Haonan Xin; Long Wei; Liaoyuan Tang; Rong Wang 001; Feiping Nie 001 (WWW, 2024)

Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. - Haonan Xin; Zhezheng Hao; Zhensheng Sun; Rong Wang 001; Zongcheng Miao; Feiping Nie 001 (Inf. Fusion, 2024)

Dimensionality-Reduced Spatial Bipartite Graph Clustering for Hyperspectral and LiDAR Data. - Zhe Cao; Haonan Xin; Bo Yan; Jinping Sui; Rong Wang 001 (ICASSP, 2025)

Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning. - Zhe Cao; Haonan Xin; Zihua Zhao; Jie Wang 024; Rong Wang 001 (ICASSP, 2025)

Multi-view clustering via high-order bipartite graph fusion. - Zihua Zhao; Ting Wang; Haonan Xin; Rong Wang 001; Feiping Nie 001 (Inf. Fusion, 2025)

Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data. - Zhe Cao; Yihang Lu; Haonan Xin; Rong Wang 001; Feiping Nie 001; Mathieu Sebilo (IEEE Trans. Geosci. Remote. Sens., 2025)

Tensorized Graph Learning for Spectral Ensemble Clustering. - Zhe Cao; Yihang Lu; Jinghui Yuan; Haonan Xin; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. - Zihua Zhao; Zhe Cao; Haonan Xin; Rong Wang 001; Danyang Wu; Zheng Wang 037; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)