Jingyu Liu

According to our database, Jingyu Liu authored at least 24 papers between 2017 and 2025.

Collaborative distances:

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

2025

An AI-Assisted All-in-One Integrated Coronary Artery Disease Diagnosis System Using a Portable Heart Sound Sensor With an On-Board Executable Lightweight Model.

Haojie Zhang, Fuze Tian, Yang Tan, Lin Shen, Jingyu Liu, Jie Liu, Kun Qian, Yalei Han, Gong Su, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

IEEE Trans. Mob. Comput., August, 2025

Schizophrenia Detection Based on Morphometry of Hippocampus and Amygdala.

Qunxi Dong, Yuhang Sheng, Junru Zhu, Zhigang Li, Weijia Liu, Jingyu Liu, Yalin Wang, Bin Hu

IEEE J. Biomed. Health Informatics, May, 2025

Semantic Disentangling for Audiovisual Induced Emotion.

Qunxi Dong, Wang Zheng, Fuze Tian, Lixian Zhu, Kun Qian, Jingyu Liu, Xuan Zhang

IEEE Trans. Comput. Soc. Syst., April, 2025

A Temporal-Spatial Embedding and Dynamic Aggregation Network With Adaptive Weighting Spectrum for EEG Motion Intention Recognition.

Weidong Yan, Jingyu Liu, Jie Luo, Wenkang Liu, Yulan Ma, Qinge Zhang

IEEE Trans. Instrum. Meas., 2025

Similarity-guided multi-view functional brain network fusion.

Zhigang Li, Jingyu Liu, Mengkai Sun, Fa Zhang, Bin Hu, Qunxi Dong

Medical Image Anal., 2025

Hierarchical CLIPs for Fine-Grained Anatomical Lesion Localization from Whole-Body PET/CT Images.

Mingyang Yu, Yaozong Gao, Yiran Shu, Yanbo Chen, Jingyu Liu, Caiwen Jiang, Kaicong Sun, Weifang Zhang, Yiqiang Zhan, Xiang Sean Zhou, Shaonan Zhong, Xinlu Wang, Meixin Zhao, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2025

2024

Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs.

Fuze Tian, Lixin Zhang, Lixian Zhu, Mingqi Zhao, Jingyu Liu, Qunxi Dong, Qinglin Zhao

IEEE Trans. Comput. Soc. Syst., December, 2024

Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation.

Jingyu Liu, Zhigang Li, Yuhang Sheng, Jingjing Zhou, Lei Feng, Hongxin Cai, Weijia Liu, Fuze Tian, Qunxi Dong, Rui Liu

IEEE Trans. Comput. Soc. Syst., December, 2024

A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis.

Qunxi Dong, Hongxin Cai, Zhigang Li, Jingyu Liu, Bin Hu

IEEE J. Biomed. Health Informatics, August, 2024

A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis.

Yulan Ma, Weigang Cui, Jingyu Liu, Yuzhu Guo, Huiling Chen, Yang Li

IEEE Trans. Medical Imaging, March, 2024

Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis.

Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu

IEEE Trans. Medical Imaging, February, 2024

SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer.

Yulan Ma, Yuzhu Guo, Weigang Cui, Jingyu Liu, Yang Li, Yingsen Wang, Yan Qiang

Comput. Biol. Medicine, 2024

Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification.

Jingyu Liu, Wenxin Yang, Yulan Ma, Qunxi Dong, Yang Li, Bin Hu

Comput. Biol. Medicine, 2024

2023

Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation.

Yang Li, Yue Zhang, Jingyu Liu, Kang Wang, Kai Zhang, Gen-Sheng Zhang, Xiaofeng Liao, Guang Yang

IEEE Trans. Cybern., September, 2023

Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion.

Jie Luo, Weigang Cui, Jingyu Liu, Yang Li, Yuzhu Guo, Song Xu, Lina Wang

IEEE Trans. Cogn. Dev. Syst., 2023

2022

Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification.

Yang Li, Jingyu Liu, Yiqiao Jiang, Yu Liu, Baiying Lei

IEEE Trans. Medical Imaging, 2022

2020

Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification.

Yang Li, Jingyu Liu, Zhenyu Tang, Baiying Lei

IEEE Trans. Medical Imaging, 2020

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.

Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen

Neuroinformatics, 2020

2019

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.

Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee

IEEE Trans. Medical Imaging, 2019

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.

Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen

Medical Image Anal., 2019

Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis.

Yiqiao Jiang, Huifang Huang, Jingyu Liu, Chong-Yaw Wee, Yang Li

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification.

Yang Li, Jingyu Liu, Jie Huang, Zuoyong Li, Peipeng Liang

Frontiers Neuroinformatics, 2018

2017

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.

Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification.

Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017