Biao Jie

According to our database, Biao Jie authored at least 56 papers between 2012 and 2024.

Collaborative distances:

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

2024

Image super-resolution reconstruction based on deep dictionary learning and A+.

Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li

Signal Image Video Process., April, 2024

Using outlier elimination to assess learning-based correspondence matching methods.

Xintao Ding, Yonglong Luo, Biao Jie, Qingde Li, Yongqiang Cheng

Inf. Sci., February, 2024

2023

Multi-scale Dilated Attention Graph Convolutional Network for Skeleton-Based Action Recognition.

Yang Shu, Wanggen Li, Doudou Li, Kun Gao, Biao Jie

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Local Sequential Features Coupling Global Representation of Dynamic Functional Connectivity Network for Brain Disease Classification.

Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Weixin Bian, Yang Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Convolutional Recurrent Neural Network with Multi-Scale Kernels on Dynamic Connectivity Network for AD Classification.

Xingyu Zhang, Biao Jie, Jianhui Wang

Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

Sparse-learning-based High-order Dynamic Functional Connectivity Networks for Brain Disease Classification.

Jianhui Wang, Biao Jie, Xingyu Zhang, Wen Li, Zhaoxiang Wu, Yang Yang

Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

Image Super-Resolution via Deep Dictionary Learning.

Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification.

Zhengdong Wang, Biao Jie, Chunxiang Feng, Taochun Wang, Weixin Bian, Xintao Ding, Wen Zhou, Mingxia Liu

IEEE J. Biomed. Health Informatics, 2022

Multiagent evacuation framework for a virtual fire emergency scenario based on generative adversarial imitation learning.

Wen Zhou, Wenying Jiang, Biao Jie, Weixin Bian

Comput. Animat. Virtual Worlds, 2022

BioP-TAP: An efficient method of template protection and two-factor authentication protocol combining biometric and PUF.

Hui Zhang, Weixin Bian, Biao Jie, Shuwan Sun

J. Intell. Fuzzy Syst., 2022

Self-attention based high order sequence feature reconstruction of dynamic functional connectivity networks with rs-fMRI for brain disease classification.

Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie Zhou, Yang Yang

CoRR, 2022

Self-attention Based High Order Sequence Features of Dynamic Functional Connectivity Networks with rs-fMRI for Brain Disease Classification.

Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie Zhou, Yang Yang

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

A Complete User Authentication and Key Agreement Scheme Using Cancelable Biometrics and PUF in Multi-Server Environment.

Hui Zhang, Weixin Bian, Biao Jie, Deqin Xu, Jun Zhao

IEEE Trans. Inf. Forensics Secur., 2021

An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification.

Ming Zheng, Tong Li, Liping Sun, Taochun Wang, Biao Jie, Weiyi Yang, Mingjing Tang, Changlong Lv

Knowl. Based Syst., 2021

Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification.

Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification.

Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

A Novel Method of Template Protection and Two-Factor Authentication Protocol Based on Biometric and PUF.

Hui Zhang, Weixin Bian, Biao Jie, Shuwan Sun

Proceedings of the Cyberspace Safety and Security - 13th International Symposium, 2021

2020

Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis.

Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen

Medical Image Anal., 2020

A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis.

Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang

Medical Image Anal., 2020

Ordinal Pattern Kernel for Brain Connectivity Network Classification.

Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang

CoRR, 2020

Local keypoint-based Faster R-CNN.

Xintao Ding, Qingde Li, Yongqiang Cheng, Jinbao Wang, Weixin Bian, Biao Jie

Appl. Intell., 2020

A Secure Biometrics and PUFs-Based Authentication Scheme With Key Agreement For Multi-Server Environments.

Jun Zhao, Weixin Bian, Deqin Xu, Biao Jie, Xintao Ding, Wen Zhou, Hui Zhang

IEEE Access, 2020

Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification.

Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

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

Webvr Human-Centered Indoor Layout Design Framework Using a Convolutional Neural Network and Deep Q-Learning.

Wen Zhou, Wenying Jiang, Weixin Bian, Biao Jie

IEEE Access, 2019

Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network.

Wen Zhou, Fei Chen, Yongshuo Zong, Dadong Zhao, Biao Jie, Zhengdong Wang, Chenxi Huang, Eddie-Yin-Kwee Ng

IEEE Access, 2019

Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks.

Mi Wang, Biao Jie, Weixin Bian, Xintao Ding, Wen Zhou, Zhengdong Wang, Mingxia Liu

IEEE Access, 2019

A Survey of the Methods on Fingerprint Orientation Field Estimation.

Weixin Bian, Deqin Xu, Qingde Li, Yongqiang Cheng, Biao Jie, Xintao Ding

IEEE Access, 2019

Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification.

Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis.

Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

2018

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks.

Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu

IEEE Trans. Medical Imaging, 2018

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis.

Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen

IEEE Trans. Image Process., 2018

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.

Biao Jie, Mingxia Liu, Dinggang Shen

Medical Image Anal., 2018

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis.

Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.

Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen

IEEE Trans. Biomed. Eng., 2017

Multimodal Hyper-connectivity Networks for MCI Classification.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Hyper-connectivity of functional networks for brain disease diagnosis.

Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang

Medical Image Anal., 2016

Orthogonal design for scale invariant feature transform optimization.

Xintao Ding, Yonglong Luo, Yunyun Yi, Biao Jie, Taochun Wang, Weixin Bian

J. Electronic Imaging, 2016

Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.

Junqiang Du, Lipeng Wang, Biao Jie, Daoqiang Zhang

Comput. Medical Imaging Graph., 2016

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis.

Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Vessel Extraction by Graph Cut Method based on Centerline Estimation.

Fengjun Zhao, Yanrong Chen, Huangjian Yi, Xiaowei He, Biao Jie

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Sub-network Based Kernels for Brain Network Classification.

Biao Jie, Mingxia Liu, Xi Jiang, Daoqiang Zhang

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification.

Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.

Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen

IEEE Trans. Biomed. Eng., 2014

Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification.

Yang Li, Chong-Yaw Wee, Biao Jie, Zi-Wen Peng, Dinggang Shen

Neuroinformatics, 2014

Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification.

Fei Fei, Biao Jie, Daoqiang Zhang

Brain Connect., 2014

Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment.

Fei Fei, Biao Jie, Lipeng Wang, Daoqiang Zhang

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease.

Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

The New Graph Kernels on Connectivity Networks for Identification of MCI.

Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Brain Connectivity Hyper-Network for MCI Classification.

Biao Jie, Dinggang Shen, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Combining Multiple Network Features for Mild Cognitive Impairment Classification.

Lipeng Wang, Fei Fei, Biao Jie, Daoqiang Zhang

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks.

Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Integrating Multiple Network Properties for MCI Identification.

Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease.

Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction.

Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

2012

Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.

Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen

Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012