Chengcheng Jia

According to our database, Chengcheng Jia authored at least 20 papers between 2011 and 2024.

Collaborative distances:

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

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, Yaodong Wang

Expert Syst. Appl., March, 2024

2023

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., October, 2023

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

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

Data augmentation for cross-subject EEG features using Siamese neural network.

Rongrong Fu, Yaodong Wang, Chengcheng Jia

Biomed. Signal Process. Control., 2022

2020

Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning.

Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu

IEEE Trans. Circuits Syst. Video Technol., 2020

Dynamic Spatiotemporal Graph Neural Network with Tensor Network.

Chengcheng Jia, Bo Wu, Xiao-Ping Zhang

CoRR, 2020

2018

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions.

Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu

IEEE Trans. Image Process., 2018

Learning Consensus Representation for Weak Style Classification.

Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017

Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition.

Chengcheng Jia, Ming Shao, Yun Fu

IEEE Trans. Image Process., 2017

2016

Low-Rank Tensor Subspace Learning for RGB-D Action Recognition.

Chengcheng Jia, Yun Fu

IEEE Trans. Image Process., 2016

Sparse alignment for video analysis in discriminant Tensor space.

Chengcheng Jia, Ming Shao, Yun Fu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Consensus Style Centralizing Auto-Encoder for Weak Style Classification.

Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition.

Zhezhou Yu, Yuhao Liu, Bin Li, Shu-Chao Pang, Cheng-Cheng Jia

J. Appl. Math., 2014

Latent Tensor Transfer Learning for RGB-D Action Recognition.

Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Raymond Fu

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Mode-Driven Volume Analysis Based on Correlation of Time Series.

Chengcheng Jia, Wei Pang, Yun Raymond Fu

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery.

Chengcheng Jia, Guoqiang Zhong, Yun Raymond Fu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012

Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization.

Zhezhou Yu, Cheng-Cheng Jia, Wei Pang, Can-Yan Zhang, Li-Hua Zhong

IEEE Signal Process. Lett., 2012

Incremental multi-linear discriminant analysis using canonical correlations for action recognition.

Cheng-Cheng Jia, Sujing Wang, Xu-Jun Peng, Wei Pang, Can-Yan Zhang, Chunguang Zhou, Zhezhou Yu

Neurocomputing, 2012

2011

Matrix Exponential LPP for face recognition.

Sujing Wang, Cheng-Cheng Jia, Hui-Ling Chen, Bo Wu, Chunguang Zhou

Proceedings of the First Asian Conference on Pattern Recognition, 2011