Fangyuan Xie

According to our database, Fangyuan Xie authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity.

Fangyuan Xie, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li

IEEE Trans. Knowl. Data Eng., August, 2025

Riemannian Optimization on Relaxed Indicator Matrix Manifold.

Jinghui Yuan, Fangyuan Xie, Feiping Nie, Xuelong Li

CoRR, March, 2025

Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering.

Fangyuan Xie, Jinghui Yuan, Feiping Nie, Xuelong Li

CoRR, January, 2025

Corrigendum to "Fast adaptively balanced min-cut clustering" [Pattern Recognition 158 (2025) 111027].

Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li

Pattern Recognit., 2025

Fast adaptively balanced min-cut clustering.

Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li

Pattern Recognit., 2025

Fast Co-clustering via Anchor-guided Label Spreading.

Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li

Neural Networks, 2025

Efficient Anchor Graph Clustering Through Enhanced Within-Cluster Homogeneity.

Fangyuan Xie, Lin Zhao, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Efficient Co-clustering via Anchor-refined Label Spreading.

Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

High-Order Anchor Graph-Based Clustering for Efficient Structured Proximity Matrix Learning.

Zihua Zhao, Yuyu Jia, Huimin Chen, Fangyuan Xie, Ziming Li, Rong Wang

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024

Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains.

Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li

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

Generalized and Robust Least Squares Regression.

Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li

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

Parameter-free ensemble clustering with dynamic weighting mechanism.

Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li

Pattern Recognit., 2024

Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method.

Jinghui Yuan, Weijin Jiang, Zhe Cao, Fangyuan Xie, Rong Wang, Feiping Nie, Yuan Yuan

CoRR, 2024

Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping.

Jinghui Yuan, Chusheng Zeng, Fangyuan Xie, Zhe Cao, Mulin Chen, Rong Wang, Feiping Nie, Yuan Yuan

CoRR, 2024

2023

Robust Supervised and Semisupervised Least Squares Regression Using ℓ_2,p-Norm Minimization.

Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., November, 2023

2022

Unsupervised Adaptive Embedding for Dimensionality Reduction.

Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision.

Fangyuan Xie, Pengshuai Yin, Zehui Ke, Ruizhou Sun, Ke Ding, Jian Chen, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2021