Intrinsic dimension estimation of data by principal component analysis - Mingyu Fan; Nannan Gu; Hong Qiao; Bo Zhang 006 (CoRR, 2010)

Incremental Alignment Manifold Learning. - Zhi Han; Deyu Meng; Zongben Xu; Nan-Nan Gu (J. Comput. Sci. Technol., 2011)

Sparse regularization for semi-supervised classification. - Mingyu Fan; Nannan Gu; Hong Qiao; Bo Zhang 006 (Pattern Recognit., 2011)

Discriminative Sparsity Preserving Projections for Semi-Supervised Dimensionality Reduction. - Nannan Gu; Mingyu Fan; Hong Qiao; Bo Zhang 006 (IEEE Signal Process. Lett., 2012)

A kernel-based sparsity preserving method for semi-supervised classification. - Nannan Gu; Di Wang 008; Mingyu Fan; Deyu Meng (Neurocomputing, 2014)

Dimensionality reduction: An interpretation from manifold regularization perspective. - Mingyu Fan; Nannan Gu; Hong Qiao; Bo Zhang 006 (Inf. Sci., 2014)

Non-fragile robust H∞ control for uncertain discrete-time singular systems with time-varying delays. - Yuechao Ma; Nannan Gu; Qingling Zhang 001 (J. Frankl. Inst., 2014)

Efficient sequential feature selection based on adaptive eigenspace model. - Nannan Gu; Mingyu Fan; Liang Du 003; Dongchun Ren (Neurocomputing, 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)

Low-Rank Tensor Recovery and Alignment Based on ell _p Minimization. - Kaifei Zhang; Di Wang 008; Xiaoqin Zhang 002; Nannan Gu; Hongxing Jiang; Xiuzi Ye (ACCV Workshops (1), 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)

Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced Learning. - Nannan Gu; Mingyu Fan; Deyu Meng (IEEE Signal Process. Lett., 2016)

Semi-Supervised Dictionary Learning Based on Atom Graph Regularization. - Xiaoqin Zhang 002; Qianqian Liu; Di Wang 008; Jie Hu; Nannan Gu; Tianhao Wang 006 (IEEE BigData, 2018)

Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification. - Lei Zhang; Di Wang 008; Xiaoqin Zhang 002; Nannan Gu; Mingyu Fan (ICIP, 2018)

Structure regularized self-paced learning for robust semi-supervised pattern classification. - Nannan Gu; Pengying Fan; Mingyu Fan; Di Wang 008 (Neural Comput. Appl., 2019)

Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint. - Xiaoqin Zhang 002; Qianqian Liu; Di Wang 008; Li Zhao 005; Nannan Gu; Stephen J. Maybank (IEEE Trans. Ind. Informatics, 2020)

Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference. - Peng Lin; Changsheng Dou; Nannan Gu; Zhiyuan Shi 001; Lili Ma (ML4CS (1), 2022)

Explicit Model Predictive Based Fault Tolerant Control for Turboshaft Engine System. - Nannan Gu; Xi Wang; Shubo Yang 001 (IEEE Access, 2022)

Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection. - Mingyu Fan; Xiaoqin Zhang 002; Jie Hu; Nannan Gu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Predictive Controller Design For Aero-Engines Based On A Class Of Linear Parameter Varying Model. - Nannan Gu; Shiguan Zhou; Feng Wang (IECON, 2023)

RS-MVSNet: Inferring the Earth's Digital Surface Model from Multi-View Optical Remote Sensing Images. - Nannan Liu; Pinhe Wang; Siyi Xiang; Nannan Gu; Feng Wang (IECON, 2023)

Performing Bayesian Network Inference Using Amortized Region Approximation with Graph Factorization. - Peng Lin; Changsheng Dou; Nannan Gu; Zhiyuan Shi 001; Lili Ma (Int. J. Intell. Syst., 2023)

MFap: Multi-view Feature Map for Visual Localization. - Jiaxin Deng; Xu Yang; Suiwu Zheng; Nannan Gu; Chuankai Liu (ICIRA (2), 2024)

Study on Grid Control Methods Based on Three-Phase Current Source Type 5-Level Converters. - Jianyu Bao; Cheng Yan; Nannan Gu; Liu Yang (IECON, 2024)

Dynamic Modeling Method for Turbofan Engines Based on Improved NARX Networks. - Nannan Gu; Zhihong Zhao; Jinbao He; Jing Huang; Jianyu Bao; Yunlai Wang (IECON, 2024)

FwNet-ECA: Facilitating Window Attention with Global Receptive Fields through Fourier Filtering Operations. - Shengtian Mian; Ya Wang; Nannan Gu; Yuping Wang; Xiaoqing Li (CoRR, 2025)