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2020 – today
- 2023
[j15]Peng Lin
, Changsheng Dou, Nannan Gu, Zhiyuan Shi, Lili Ma:
Performing Bayesian Network Inference Using Amortized Region Approximation with Graph Factorization. Int. J. Intell. Syst. 2023: 1-16 (2023)- [c5]Nannan Gu, Shiguan Zhou, Feng Wang:
Predictive Controller Design For Aero-Engines Based On A Class Of Linear Parameter Varying Model. IECON 2023: 1-6 - 2022
- [j14]Nannan Gu, Xi Wang, Shubo Yang:
Explicit Model Predictive Based Fault Tolerant Control for Turboshaft Engine System. IEEE Access 10: 34637-34653 (2022) - [j13]Mingyu Fan, Xiaoqin Zhang, Jie Hu, Nannan Gu, Dacheng Tao:
Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5859-5872 (2022) - [c4]Peng Lin, Changsheng Dou, Nannan Gu, Zhiyuan Shi, Lili Ma:
Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference. ML4CS (1) 2022: 57-71 - 2020
- [j12]Xiaoqin Zhang, Qianqian Liu, Di Wang, Li Zhao, Nannan Gu, Stephen J. Maybank:
Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint. IEEE Trans. Ind. Informatics 16(1): 532-543 (2020)
2010 – 2019
- 2019
- [j11]Nannan Gu, Pengying Fan, Mingyu Fan, Di Wang:
Structure regularized self-paced learning for robust semi-supervised pattern classification. Neural Comput. Appl. 31(10): 6559-6574 (2019) - 2018
- [c3]Xiaoqin Zhang, Qianqian Liu, Di Wang, Jie Hu, Nannan Gu, Tianhao Wang:
Semi-Supervised Dictionary Learning Based on Atom Graph Regularization. IEEE BigData 2018: 4665-4671 - [c2]Lei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Mingyu Fan:
Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification. ICIP 2018: 1633-1637 - 2016
- [j10]Yuechao Ma, Shujie Jin, Nannan Gu:
Decentralised memory static output feedback control for the nonlinear time-delay similar interconnected systems. Int. J. Syst. Sci. 47(10): 2487-2498 (2016) - [j9]Nannan Gu, Mingyu Fan, Deyu Meng:
Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced Learning. IEEE Signal Process. Lett. 23(12): 1806-1810 (2016) - [c1]Kaifei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Hongxing Jiang, Xiuzi Ye:
Low-Rank Tensor Recovery and Alignment Based on \ell _p Minimization. ACCV Workshops (1) 2016: 96-110 - 2015
- [j8]Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren:
Efficient sequential feature selection based on adaptive eigenspace model. Neurocomputing 161: 199-209 (2015) - [j7]Yuechao Ma, Shujie Jin, Nannan Gu:
Delay-dependent decentralised control for a class of uncertain similar interconnected systems with state delay and input delay. Int. J. Syst. Sci. 46(16): 2887-2896 (2015) - 2014
- [j6]Nannan Gu, Di Wang, Mingyu Fan, Deyu Meng:
A kernel-based sparsity preserving method for semi-supervised classification. Neurocomputing 139: 345-356 (2014) - [j5]Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang:
Dimensionality reduction: An interpretation from manifold regularization perspective. Inf. Sci. 277: 694-714 (2014) - [j4]Yuechao Ma, Nannan Gu, Qingling Zhang:
Non-fragile robust H∞ control for uncertain discrete-time singular systems with time-varying delays. J. Frankl. Inst. 351(6): 3163-3181 (2014) - 2012
- [j3]Nannan Gu, Mingyu Fan, Hong Qiao, Bo Zhang:
Discriminative Sparsity Preserving Projections for Semi-Supervised Dimensionality Reduction. IEEE Signal Process. Lett. 19(7): 391-394 (2012) - 2011
- [j2]Zhi Han, Deyu Meng, Zongben Xu, Nan-Nan Gu:
Incremental Alignment Manifold Learning. J. Comput. Sci. Technol. 26(1): 153-165 (2011) - [j1]Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang:
Sparse regularization for semi-supervised classification. Pattern Recognit. 44(8): 1777-1784 (2011) - 2010
- [i1]Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang:
Intrinsic dimension estimation of data by principal component analysis. CoRR abs/1002.2050 (2010)
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