Nannan Gu

According to our database, Nannan Gu authored at least 21 papers between 2010 and 2023.

Collaborative distances:

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

2023

Performing Bayesian Network Inference Using Amortized Region Approximation with Graph Factorization.

Peng Lin, Changsheng Dou, Nannan Gu, Zhiyuan Shi, Lili Ma

Int. J. Intell. Syst., 2023

Predictive Controller Design For Aero-Engines Based On A Class Of Linear Parameter Varying Model.

Nannan Gu, Shiguan Zhou, Feng Wang

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection.

Mingyu Fan, Xiaoqin Zhang, Jie Hu, Nannan Gu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2022

Explicit Model Predictive Based Fault Tolerant Control for Turboshaft Engine System.

Nannan Gu, Xi Wang, Shubo Yang

IEEE Access, 2022

Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference.

Peng Lin, Changsheng Dou, Nannan Gu, Zhiyuan Shi, Lili Ma

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

2020

Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint.

Xiaoqin Zhang, Qianqian Liu, Di Wang, Li Zhao, Nannan Gu, Stephen J. Maybank

IEEE Trans. Ind. Informatics, 2020

2019

Structure regularized self-paced learning for robust semi-supervised pattern classification.

Nannan Gu, Pengying Fan, Mingyu Fan, Di Wang

Neural Comput. Appl., 2019

2018

Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification.

Lei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Mingyu Fan

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Semi-Supervised Dictionary Learning Based on Atom Graph Regularization.

Xiaoqin Zhang, Qianqian Liu, Di Wang, Jie Hu, Nannan Gu, Tianhao Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced Learning.

Nannan Gu, Mingyu Fan, Deyu Meng

IEEE Signal Process. Lett., 2016

Decentralised memory static output feedback control for the nonlinear time-delay similar interconnected systems.

Yuechao Ma, Shujie Jin, Nannan Gu

Int. J. Syst. Sci., 2016

Low-Rank Tensor Recovery and Alignment Based on \ell _p Minimization.

Kaifei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Hongxing Jiang, Xiuzi Ye

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Delay-dependent decentralised control for a class of uncertain similar interconnected systems with state delay and input delay.

Yuechao Ma, Shujie Jin, Nannan Gu

Int. J. Syst. Sci., 2015

Efficient sequential feature selection based on adaptive eigenspace model.

Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren

Neurocomputing, 2015

2014

Non-fragile robust <i>H</i>_∞ control for uncertain discrete-time singular systems with time-varying delays.

Yuechao Ma, Nannan Gu, Qingling Zhang

J. Frankl. Inst., 2014

Dimensionality reduction: An interpretation from manifold regularization perspective.

Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang

Inf. Sci., 2014

A kernel-based sparsity preserving method for semi-supervised classification.

Nannan Gu, Di Wang, Mingyu Fan, Deyu Meng

Neurocomputing, 2014

2012

Discriminative Sparsity Preserving Projections for Semi-Supervised Dimensionality Reduction.

Nannan Gu, Mingyu Fan, Hong Qiao, Bo Zhang

IEEE Signal Process. Lett., 2012

2011

Sparse regularization for semi-supervised classification.

Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang

Pattern Recognit., 2011

Incremental Alignment Manifold Learning.

Zhi Han, Deyu Meng, Zongben Xu, Nan-Nan Gu

J. Comput. Sci. Technol., 2011

2010

Intrinsic dimension estimation of data by principal component analysis

Mingyu Fan, Nannan Gu, Hong Qiao, Bo Zhang

CoRR, 2010