Jing Wang
Orcid: 0000-0002-1017-2231Affiliations:
- Beijing Jiaotong University, School of Computer and Information Technology, Beijing Key Lab of Traffic Data Analysis and Mining, China
According to our database1,
Jing Wang
authored at least 30 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Spatial-temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecastin.
Expert Syst. Appl., March, 2024
MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2024
2023
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
IEEE Signal Process. Lett., 2023
A Bayesian Graph Neural Network for EEG Classification - A Win-Win on Performance and Interpretability.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
CoSleep: A Multi-View Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification.
IEEE Signal Process. Lett., 2022
Integrating User-Group relationships under interest similarity constraints for social recommendation.
Knowl. Based Syst., 2022
Arrhythmia detection based on multi-scale fusion of hybrid deep models from single lead ECG recordings: A multicenter dataset study.
Biomed. Signal Process. Control., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Self-adversarial variational autoencoder with spectral residual for time series anomaly detection.
Neurocomputing, 2021
Entropy, 2021
SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging.
CoRR, 2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.
CoRR, 2021
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Self-Supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive Coding.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging.
IEEE Trans. Artif. Intell., 2020
Comput. Biol. Medicine, 2020
MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Entropy, 2019
Comput. Methods Programs Biomed., 2019
2017
Time-Frequency Convolutional Neural Network for Automatic Sleep Stage Classification Based on Single-Channel EEG.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
2015