Xiaojun Ning

According to our database, Xiaojun Ning authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Subject-Adaptation Salient Wave Detection Network for Multimodal Sleep Stage Classification.

Jing Wang, Xuehui Wang, Xiaojun Ning, Youfang Lin, Huy Phan, Ziyu Jia

IEEE J. Biomed. Health Informatics, March, 2025

Two-Stream Dynamic Heterogeneous Graph Recurrent Neural Network for Multi-Label Multi-Modal Emotion Recognition.

Jing Wang, Zhiyang Feng, Xiaojun Ning, Youfang Lin, Badong Chen, Ziyu Jia

IEEE Trans. Affect. Comput., 2025

Group-wise relation mining for weakly-supervised fine-grained multimodal emotion recognition.

Xiyuan Jin, Jing Wang, Huaiyu Qin, Xiaojun Ning, Tianzuo Xin, Youfang Lin

Neural Networks, 2025

2024

MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition.

Xiaojun Ning, Jing Wang, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Xiaoli Li, Ziyu Jia

IEEE Trans. Instrum. Meas., 2024

Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition.

Jing Wang, Xiaojun Ning, Wei Xu, Yunze Li, Ziyu Jia, Youfang Lin

Neural Networks, 2024

2023

Multi-View Consistency Contrastive Learning With Hard Positives for Sleep Signals.

Jiaoxue Deng, Youfang Lin, Xiyuan Jin, Xiaojun Ning, Jing Wang

IEEE Signal Process. Lett., 2023

A Bayesian Graph Neural Network for EEG Classification - A Win-Win on Performance and Interpretability.

Jing Wang, Xiaojun Ning, Wangjun Shi, Youfang Lin

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.

Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-Wei H. Lehman

CoRR, 2021

2020

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification.

Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020