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2020 – today
- 2025
[j7]Feiping Nie, Fangyuan Xie
, Jingyu Wang, Xuelong Li:
Fast adaptively balanced min-cut clustering. Pattern Recognit. 158: 111027 (2025)- [j6]Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li:
Corrigendum to "Fast adaptively balanced min-cut clustering" [Pattern Recognition 158 (2025) 111027]. Pattern Recognit. 159: 111084 (2025) - 2024
- [j5]Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li:
Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5479-5492 (2024) - [j4]Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li:
Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognit. 151: 110389 (2024) - [j3]Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Generalized and Robust Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7006-7020 (2024) - [i2]Jinghui Yuan, Chusheng Zeng, Fangyuan Xie, Zhe Cao, Mulin Chen, Rong Wang, Feiping Nie, Yuan Yuan:
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping. CoRR abs/2408.02932 (2024) - [i1]Jinghui Yuan, Weijin Jiang, Zhe Cao, Fangyuan Xie, Rong Wang, Feiping Nie, Yuan Yuan:
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method. CoRR abs/2408.02936 (2024) - 2023
- [j2]Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Robust Supervised and Semisupervised Least Squares Regression Using ℓ2,p-Norm Minimization. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8389-8403 (2023) - 2022
- [j1]Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Unsupervised Adaptive Embedding for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6844-6855 (2022) - 2021
- [c1]Fangyuan Xie, Pengshuai Yin, Zehui Ke, Ruizhou Sun, Ke Ding, Jian Chen, Qingyao Wu:
Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision. ICEBE 2021: 16-20
Coauthor Index
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