Jingxin Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Jingxin Liu 001 (Jilin University, China-Japan Union Hospital, Department of Radiology, Changchun, China)
- Jingxin Liu 002 (Liaoning University, College of Information, Shenyang, China)
- Jingxin Liu 003 (Kuaishou Technology, Beijing, China)
- Jingxin Liu 004 (Chongqing University of Science and Technology,)
- Jingxin Liu 005 (Xi'an Jiaotong-Liverpool University (XJTLU), School of AI and Advanced Computing, Suzhou, China)
- Jingxin Liu 006 (Hainan University, School of Computer Science and Technology, Haikou, China)
Bibliography
2026
CFCDBN: Personalized Directional Brain Network Modeling of Cross-Frequency Coupling Alterations in Adolescent Anxiety Disorders.
IEEE J. Biomed. Health Informatics, May, 2026
Heart-Brain Symbiosis and Neuromodulation: From Mechanism Discovery to Closed-Loop Synergistic Management.
IEEE Trans. Comput. Soc. Syst., April, 2026
A multi-level segmentation-guided diffusion model for streak artifact reduction in routine non-contrast chest CT.
Medical Biol. Eng. Comput., April, 2026
Semantic Class Distribution Learning for Debiasing Semi-Supervised Medical Image Segmentation.
CoRR, March, 2026
Hybrid Source Selection Fusion Domain-Invariant Attention for Cross-Subject Emotion Recognition.
IEEE Trans. Affect. Comput., 2026
IEEE Trans. Affect. Comput., 2026
Multi-scale cross-domain and class-wise kernel discriminative alignment for EEG-based emotion recognition.
Pattern Recognit., 2026
ELAI-SGCN: An explainable lightweight adaptive information-perceiving spiking graph convolutional network for EEG-based emotion recognition.
Neural Networks, 2026
MMGA-KAN Net: KAN-based multi-resolution and multi-scale graph attention network for global and local unsupervised stereo matching.
Neurocomputing, 2026
Frontiers Big Data, 2026
2024
IEEE Trans. Vis. Comput. Graph., July, 2024
Dual-level feature assessment for unsupervised multi-view feature selection with latent space learning.
Inf. Sci., 2024
Joint Cauchy dictionary learning and graph learning for unsupervised feature selection.
Eng. Appl. Artif. Intell., 2024
A multi-task fusion model based on a residual-Multi-layer perceptron network for mammographic breast cancer screening.
Comput. Methods Programs Biomed., 2024
2023
Knowl. Based Syst., December, 2023
Appl. Intell., August, 2023
2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Proceedings of the Data Mining and Big Data - 6th International Conference, 2021
Proceedings of the Data Mining and Big Data - 6th International Conference, 2021
2020
Proceedings of the 13th International Congress on Image and Signal Processing, 2020
2019
Brainwave-based human emotion estimation using deep neural network models for biofeedback
PhD thesis, 2019
2018
Emotion detection from EEG recordings based on supervised and unsupervised dimension reduction.
Concurr. Comput. Pract. Exp., 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
2016
Proceedings of the 12th International Conference on Natural Computation, 2016
2015
Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015