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2020 – today
- 2024
[j14]Rongrong Fu
, Mengpu Cai, Shiwei Wang, Yaodong Wang, Chengcheng Jia:
Exploring non-Euclidean relationships in EEG emotion recognition: A dynamic graph attention network. Biomed. Signal Process. Control. 94: 106276 (2024)- [j13]Rongrong Fu, Haifeng Liang, Shiwei Wang, Chengcheng Jia, Guangbin Sun, Tengfei Gao, Dan Chen, Yaodong Wang:
Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms. Expert Syst. Appl. 238(Part A): 121734 (2024) - 2023
- [j12]Yushan Du, Jiaxin Sui, Shiwei Wang, Rongrong Fu, Chengcheng Jia:
Motor intent recognition of multi-feature fusion EEG signals by UMAP algorithm. Medical Biol. Eng. Comput. 61(10): 2665-2676 (2023) - 2022
- [j11]Rongrong Fu, Yifan Xiang, Mengmeng Han, Guangbin Sun, Chengcheng Jia:
Improvement decoding performance based on GQDA during a high engagement demanding paradigm. Biomed. Signal Process. Control. 71(Part): 103205 (2022) - [j10]Rongrong Fu, Yaodong Wang, Chengcheng Jia:
Data augmentation for cross-subject EEG features using Siamese neural network. Biomed. Signal Process. Control. 75: 103614 (2022) - [j9]Rongrong Fu, Yaodong Wang, Chengcheng Jia:
A new data augmentation method for EEG features based on the hybrid model of broad-deep networks. Expert Syst. Appl. 202: 117386 (2022) - 2020
- [j8]Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu:
Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2801-2814 (2020) - [i1]Chengcheng Jia, Bo Wu, Xiao-Ping Zhang:
Dynamic Spatiotemporal Graph Neural Network with Tensor Network. CoRR abs/2003.08729 (2020)
2010 – 2019
- 2018
- [j7]Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
Learning Consensus Representation for Weak Style Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2906-2919 (2018) - [j6]Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu:
Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions. IEEE Trans. Image Process. 27(4): 1878-1887 (2018) - 2017
- [j5]Chengcheng Jia, Ming Shao, Yun Fu:
Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition. IEEE Trans. Image Process. 26(2): 738-750 (2017) - 2016
- [j4]Chengcheng Jia, Yun Fu:
Low-Rank Tensor Subspace Learning for RGB-D Action Recognition. IEEE Trans. Image Process. 25(10): 4641-4652 (2016) - [c6]Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
Consensus Style Centralizing Auto-Encoder for Weak Style Classification. AAAI 2016: 1223-1229 - [c5]Chengcheng Jia, Ming Shao, Yun Fu:
Sparse alignment for video analysis in discriminant Tensor space. IJCNN 2016: 2260-2266 - 2014
- [j3]Zhezhou Yu, Yuhao Liu, Bin Li, Shu-Chao Pang, Cheng-Cheng Jia:
Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition. J. Appl. Math. 2014: 928051:1-928051:10 (2014) - [c4]Chengcheng Jia, Guoqiang Zhong, Yun Raymond Fu:
Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery. AAAI 2014: 1228-1234 - [c3]Chengcheng Jia, Wei Pang, Yun Raymond Fu:
Mode-Driven Volume Analysis Based on Correlation of Time Series. ECCV Workshops (1) 2014: 818-833 - [c2]Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Raymond Fu:
Latent Tensor Transfer Learning for RGB-D Action Recognition. ACM Multimedia 2014: 87-96 - 2012
- [j2]Cheng-Cheng Jia, Sujing Wang, Xu-Jun Peng, Wei Pang, Can-Yan Zhang, Chunguang Zhou, Zhezhou Yu:
Incremental multi-linear discriminant analysis using canonical correlations for action recognition. Neurocomputing 83: 56-63 (2012) - [j1]Zhezhou Yu, Cheng-Cheng Jia, Wei Pang, Can-Yan Zhang, Li-Hua Zhong:
Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization. IEEE Signal Process. Lett. 19(2): 95-98 (2012) - 2011
- [c1]Sujing Wang, Cheng-Cheng Jia, Hui-Ling Chen, Bo Wu, Chunguang Zhou:
Matrix Exponential LPP for face recognition. ACPR 2011: 189-193
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