Nan Zhou

27 papers A* 1Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dual-stream regional feature learning and adaptive fusion method for electroencephalogram-based emotion recognition.
Eng. Appl. Artif. Intell.
Yong Yang, Wenhao Wang, Kaibo Shi, Yuanlun Xie, Nan Zhou, Shiping Wen, Ming Zhu, Badong Chen
2026 J jnl
A hybrid SGC-transformer network for EEG emotion recognition with historical data integration.
Neurocomputing
Yong Yang, Kaibo Shi, Nan Zhou, Wenhao Wang, Shiping Wen, Ming Zhu, Yuanlun Xie
2026 J jnl
BERN: A Novel Framework for Enhanced Emotion Recognition Through the Integration of EEG and Eye Movement Features.
IEEE Trans. Cogn. Dev. Syst.
Nan Zhou, Lagen Jika, Wenhao Wang, Yuanlun Xie, Yuanhua Du, Yeng Chai Soh
2026 J jnl
Bipartite graph regularized robust low-rank matrix factorization for fast semi-supervised image clustering.
Appl. Intell.
Nan Zhou, Wenjun Luo, Zezhong Wu, Yuanhua Du, Kaibo Shi, Badong Chen
2026 J jnl
Correntropy meets cross-entropy: A robust loss against noisy labels.
Eng. Appl. Artif. Intell.
Nan Zhou, Qing Deng, Wenjun Luo, Xiuyu Huang, Yuanhua Du, Badong Chen, Witold Pedrycz
2026 J jnl
Low-Rank Matrix Factorization Induced Adaptive Divergent Graph Learning for Fuzzy Clustering.
IEEE Trans. Fuzzy Syst.
Li Ma, Nan Zhou, Yuanhua Du, Wenhao Wang, Kaibo Shi, Witold Pedrycz
2026 J jnl
Robust adaptive anchor points and bipartite graph learning for image clustering.
Inf. Sci.
Eryang Chen, Jiajie Huang, Nan Zhou, Yue Yu, Jiuke Huang, Yanyi Cao, Yeng Chai Soh
2025 J jnl
Correntropy based label loss for multi-classification on deep neural networks.
Neurocomputing
Qing Deng, Nan Zhou, Wenjun Luo, Yuanhua Du, Kaibo Shi, Badong Chen
2025 J jnl
Dynamic region features learning for facial expression recognition.
Signal Image Video Process.
Yuanlun Xie, Wenhao Wang, Yibo Zhang, Kaibo Shi, Hengxin Zhang, Nan Zhou
2024 J jnl
Shallow Inception Domain Adaptation Network for EEG-Based Motor Imagery Classification.
IEEE Trans. Cogn. Dev. Syst.
Xiuyu Huang, Kup-Sze Choi, Nan Zhou, Yuanpeng Zhang, Badong Chen, Witold Pedrycz
2023 J jnl
Center transfer for supervised domain adaptation.
Appl. Intell.
Xiuyu Huang, Nan Zhou, Jian Huang, Huaidong Zhang, Witold Pedrycz, Kup-Sze Choi
2023 J jnl
Correntropy based model predictive controller with multi-constraints for robust path trajectory tracking of self-driving vehicle.
J. Frankl. Inst.
Nan Zhou, Hao Qin, Kup-Sze Choi, Yuanhua Du, Jun Liu, Ping Li, Xiaoyan Huang, Kaibo Shi, Yangyang Xu
2023 J jnl
Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Nan Zhou, Kup-Sze Choi, Badong Chen, Yuanhua Du, Jun Liu, Yangyang Xu
2023 J jnl
Distributed optimization for consensus performance of delayed fractional-order double-integrator multi-agent systems.
Neurocomputing
Jun Liu, Nan Zhou, Kaiyu Qin, Badong Chen, Yonghong Wu, Kup-Sze Choi
2023 J jnl
Event-triggered consensus control based on maximum correntropy criterion for discrete-time multi-agent systems.
Neurocomputing
Jun Liu, Guobin Yang, Nan Zhou, Kaiyu Qin, Badong Chen, Yonghong Wu, Kup-Sze Choi
2023 J jnl
Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization.
Appl. Intell.
Nan Zhou, Yuanhua Du, Jun Liu, Xiuyu Huang, Xiao Shen, Kup-Sze Choi
2022 A* conf
A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract).
AAAI
Xiuyu Huang, Nan Zhou, Kup-Sze Choi
2022 J jnl
Optimal Calculation Method of Mean Equivalent Diameter of Floc Particles Based on MCC.
Complex.
Jun Liu, Siqi Peng, Nan Zhou
2021 J jnl
A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification.
Intell. Data Anal.
Xuemin Tan, Chao Guo, Tao Jiang, Kechang Fu, Nan Zhou, JianYing Yuan, Guoliang Zhang
2020 J jnl
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation.
IEEE Trans. Neural Networks Learn. Syst.
Nan Zhou, Badong Chen, Yuanhua Du, Tao Jiang, Jun Liu, Yangyang Xu
2019 J jnl
Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection.
IEEE Trans. Circuits Syst. Video Technol.
Nan Zhou, Yangyang Xu, Hong Cheng, Zejian Yuan, Badong Chen
2019 J jnl
Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation.
IEEE Trans. Circuits Syst. Video Technol.
Nan Zhou, Hong Cheng, Jing Qin, Yuanhua Du, Badong Chen
2016 J jnl
Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection.
Pattern Recognit.
Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz
2015 J jnl
Local-Structure Adaptive Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection.
CoRR
Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz
2014 J jnl
Exponential stability for stochastic Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays.
Neurocomputing
Yuanhua Du, Shouming Zhong, Nan Zhou, Kaibo Shi, Jun Cheng
2014 J jnl
Global asymptotic stability of Markovian jumping stochastic Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays.
Appl. Math. Comput.
Yuanhua Du, Shouming Zhong, Nan Zhou
2013 J jnl
Exponential passivity of BAM neural networks with time-varying delays.
Appl. Math. Comput.
Yuanhua Du, Shouming Zhong, Nan Zhou, Lei Nie, Wenqin Wang