Chang Gao

According to our database, Chang Gao authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

DWOA-BNC: Discrete whale optimization algorithm for Bayesian network classifier learning and its application.

Xihao Fan, Fengda Zhao, Jingdu Yu, Peiliang Wu, Chang Gao, Hongbing Xie, Qiulin Guo, Hong-Jia Ren

Pattern Recognit., 2026

Hybrid curriculum and transfer learning method for cross-subject motor imagery recognition.

Chang Gao, Xiaohu Li, Sihui Cheng, Wenyuan Liu, Siyao Guo

Expert Syst. Appl., 2026

2025

Fully connected network samples transfer and multi-classifier fusion for motor imagery recognition.

Sihui Cheng, Chang Gao

Neural Comput. Appl., May, 2025

Improving pseudo labels quality with infomap and label correction for self-supervised speaker verification.

Chang Gao, Yuxiang Li, Yang Li, Xiaohu Li

Pattern Recognit. Lett., 2025

UMDA-DDSTGN: An unsupervised meta-domain adaptation method using dynamic directed spatial-temporal graph network for EEG-based emotion recognition.

Chang Gao, Lifan Jia, Jiajun Xu, Pengcheng Yang

Knowl. Based Syst., 2025

2024

A cross-session motor imagery classification method based on Riemannian geometry and deep domain adaptation.

Wenchao Liu, Changjiang Guo, Chang Gao

Expert Syst. Appl., March, 2024

Human activity recognition through deep learning: Leveraging unique and common feature fusion in wearable multi-sensor systems.

Kang Liu, Chang Gao, Binbin Li, Wenyuan Liu

Appl. Soft Comput., January, 2024

2022

Semi-supervised Multi-Source Transfer Learning for Motor Imagery Recognition.

Chang Gao, Jie Sun

Int. J. Pattern Recognit. Artif. Intell., November, 2022

Convolutional neural network and riemannian geometry hybrid approach for motor imagery classification.

Chang Gao, Wenchao Liu, Xian Yang

Neurocomputing, 2022