Matrix Exponential LPP for face recognition. - Sujing Wang; Cheng-Cheng Jia; Hui-Ling Chen 001; Bo Wu; Chunguang Zhou (ACPR, 2011)

Incremental multi-linear discriminant analysis using canonical correlations for action recognition. - Cheng-Cheng Jia; Sujing Wang; Xu-Jun Peng; Wei Pang 001; Can-Yan Zhang; Chunguang Zhou; Zhezhou Yu (Neurocomputing, 2012)

Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization. - Zhezhou Yu; Cheng-Cheng Jia; Wei Pang 001; Can-Yan Zhang; Li-Hua Zhong (IEEE Signal Process. Lett., 2012)

Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery. - Chengcheng Jia; Guoqiang Zhong 001; Yun Raymond Fu (AAAI, 2014)

Mode-Driven Volume Analysis Based on Correlation of Time Series. - Chengcheng Jia; Wei Pang 001; Yun Raymond Fu (ECCV Workshops (1), 2014)

Latent Tensor Transfer Learning for RGB-D Action Recognition. - Chengcheng Jia; Yu Kong 001; Zhengming Ding; Yun Raymond Fu (ACM Multimedia, 2014)

Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition. - Zhezhou Yu; Yuhao Liu; Bin Li 004; Shu-Chao Pang; Cheng-Cheng Jia (J. Appl. Math., 2014)

Consensus Style Centralizing Auto-Encoder for Weak Style Classification. - Shuhui Jiang; Ming Shao; Chengcheng Jia; Yun Fu 001 (AAAI, 2016)

Sparse alignment for video analysis in discriminant Tensor space. - Chengcheng Jia; Ming Shao; Yun Fu 001 (IJCNN, 2016)

Low-Rank Tensor Subspace Learning for RGB-D Action Recognition. - Chengcheng Jia; Yun Fu 001 (IEEE Trans. Image Process., 2016)

Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition. - Chengcheng Jia; Ming Shao; Yun Fu 001 (IEEE Trans. Image Process., 2017)

Learning Consensus Representation for Weak Style Classification. - Shuhui Jiang; Ming Shao; Chengcheng Jia; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions. - Chengcheng Jia; Ming Shao; Sheng Li 001; Handong Zhao; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Dynamic Spatiotemporal Graph Neural Network with Tensor Network. - Chengcheng Jia; Bo Wu; Xiao-Ping Zhang 002 (CoRR, 2020)

Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. - Chengcheng Jia; Zhengming Ding; Yu Kong 001; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Data augmentation for cross-subject EEG features using Siamese neural network. - Rongrong Fu; Yaodong Wang; Chengcheng Jia (Biomed. Signal Process. Control., 2022)

Improvement decoding performance based on GQDA during a high engagement demanding paradigm. - Rongrong Fu; Yifan Xiang; Mengmeng Han; Guangbin Sun; Chengcheng Jia (Biomed. Signal Process. Control., 2022)

A new data augmentation method for EEG features based on the hybrid model of broad-deep networks. - Rongrong Fu; Yaodong Wang; Chengcheng Jia (Expert Syst. Appl., 2022)

Motor intent recognition of multi-feature fusion EEG signals by UMAP algorithm. - Yushan Du; Jiaxin Sui; Shiwei Wang; Rongrong Fu; Chengcheng Jia (Medical Biol. Eng. Comput., 2023)

Exploring non-Euclidean relationships in EEG emotion recognition: A dynamic graph attention network. - Rongrong Fu; Mengpu Cai; Shiwei Wang; Yaodong Wang; Chengcheng Jia (Biomed. Signal Process. Control., 2024)

Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms. - Rongrong Fu; Haifeng Liang; Shiwei Wang; Chengcheng Jia; Guangbin Sun; Tengfei Gao; Dan Chen 001; Yaodong Wang (Expert Syst. Appl., 2024)

Performance investigation of MVMD-MSI algorithm in frequency recognition for SSVEP-based brain-computer interface and its application in robotic arm control. - Rongrong Fu; Shaoxiong Niu; Xiaolei Feng; Ye Shi; Chengcheng Jia; Jing Zhao; Guilin Wen (Medical Biol. Eng. Comput., 2025)