Biao Jie

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Disease Diagnosis

Functional Connectivity

Convolutional Neural Networks

Top Venues

Medical Image Anal.

Publications

Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li
Image super-resolution reconstruction based on deep dictionary learning and A+. Signal Image Video Process. 18 (3) (2024)
Chen Wang, Kaizhong Zuo, Shaokun Zhang, Chunyang Liu, Hao Peng, Wenjie Li, Zhangyi Shen, Peng Hu, Rui Wang, Biao Jie
TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction. Expert Syst. Appl. 258 (2024)
Lifang Zhu, Chao Liu, Zhiqiang Zhang, Yifan Cheng, Biao Jie, Xintao Ding
An adversarial sample detection method based on heterogeneous denoising. Mach. Vis. Appl. 35 (4) (2024)
Xintao Ding, Yonglong Luo, Biao Jie, Qingde Li, Yongqiang Cheng
Using outlier elimination to assess learning-based correspondence matching methods. Inf. Sci. 659 (2024)
Yi Huang, Weixin Bian, Deqin Xu, Biao Jie, Luo Feng
Fingerprint image super-resolution based on multi-class deep dictionary learning and ridge prior. Signal Image Video Process. 18 (6) (2024)
Xingyu Zhang, Biao Jie, Jianhui Wang
Convolutional Recurrent Neural Network with Multi-Scale Kernels on Dynamic Connectivity Network for AD Classification. ICMLSC (2023)
Jianhui Wang, Biao Jie, Xingyu Zhang, Wen Li, Zhaoxiang Wu, Yang Yang
Sparse-learning-based High-order Dynamic Functional Connectivity Networks for Brain Disease Classification. ICMLSC (2023)
Yang Shu, Wanggen Li, Doudou Li, Kun Gao, Biao Jie
Multi-scale Dilated Attention Graph Convolutional Network for Skeleton-Based Action Recognition. PRCV (1) (2023)
Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Weixin Bian, Yang Yang
Local Sequential Features Coupling Global Representation of Dynamic Functional Connectivity Network for Brain Disease Classification. ISBI (2023)
Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li
Image Super-Resolution via Deep Dictionary Learning. ICIG (4) (2023)
Zhengdong Wang, Biao Jie, Chunxiang Feng, Taochun Wang, Weixin Bian, Xintao Ding, Wen Zhou, Mingxia Liu
Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Hui Zhang, Weixin Bian, Biao Jie, Shuwan Sun
BioP-TAP: An efficient method of template protection and two-factor authentication protocol combining biometric and PUF. J. Intell. Fuzzy Syst. 43 (4) (2022)
Wen Zhou, Wenying Jiang, Biao Jie, Weixin Bian
Multiagent evacuation framework for a virtual fire emergency scenario based on generative adversarial imitation learning. Comput. Animat. Virtual Worlds 33 (1) (2022)
Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie Zhou, Yang Yang
Self-attention Based High Order Sequence Features of Dynamic Functional Connectivity Networks with rs-fMRI for Brain Disease Classification. CICAI (2) (2022)
Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie Zhou, Yang Yang
Self-attention based high order sequence feature reconstruction of dynamic functional connectivity networks with rs-fMRI for brain disease classification. CoRR (2022)
Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. MLMI@MICCAI (2021)
Ming Zheng, Tong Li, Liping Sun, Taochun Wang, Biao Jie, Weiyi Yang, Mingjing Tang, Changlong Lv
An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification. Knowl. Based Syst. 216 (2021)
Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. MLMI@MICCAI (2021)
Hui Zhang, Weixin Bian, Biao Jie, Shuwan Sun
A Novel Method of Template Protection and Two-Factor Authentication Protocol Based on Biometric and PUF. CSS (2021)
Hui Zhang, Weixin Bian, Biao Jie, Deqin Xu, Jun Zhao
A Complete User Authentication and Key Agreement Scheme Using Cancelable Biometrics and PUF in Multi-Server Environment. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Xintao Ding, Qingde Li, Yongqiang Cheng, Jinbao Wang, Weixin Bian, Biao Jie
Local keypoint-based Faster R-CNN. Appl. Intell. 50 (10) (2020)
Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. MLMI@MICCAI (2020)
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. 63 (2020)
Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang
Ordinal Pattern Kernel for Brain Connectivity Network Classification. CoRR (2020)
Jun Zhao, Weixin Bian, Deqin Xu, Biao Jie, Xintao Ding, Wen Zhou, Hui Zhang
A Secure Biometrics and PUFs-Based Authentication Scheme With Key Agreement For Multi-Server Environments. IEEE Access 8 (2020)
Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Anal. 65 (2020)
Weixin Bian, Deqin Xu, Qingde Li, Yongqiang Cheng, Biao Jie, Xintao Ding
A Survey of the Methods on Fingerprint Orientation Field Estimation. IEEE Access 7 (2019)
Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu
Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. GLMI@MICCAI (2019)
Wen Zhou, Fei Chen, Yongshuo Zong, Dadong Zhao, Biao Jie, Zhengdong Wang, Chenxi Huang, Eddie-Yin-Kwee Ng
Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network. IEEE Access 7 (2019)
Mi Wang, Biao Jie, Weixin Bian, Xintao Ding, Wen Zhou, Zhengdong Wang, Mingxia Liu
Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks. IEEE Access 7 (2019)
Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. Medical Image Anal. 52 (2019)
Wen Zhou, Wenying Jiang, Weixin Bian, Biao Jie
Webvr Human-Centered Indoor Layout Design Framework Using a Convolutional Neural Network and Deep Q-Learning. IEEE Access 7 (2019)
Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. GLMI@MICCAI (2019)
Biao Jie, Mingxia Liu, Dinggang Shen
Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease. Medical Image Anal. 47 (2018)
Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu
Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging 37 (7) (2018)
Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Trans. Image Process. 27 (5) (2018)
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. MLMI@MICCAI (2018)
Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
Multimodal Hyper-connectivity Networks for MCI Classification. MICCAI (1) (2017)
Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans. Biomed. Eng. 64 (1) (2017)
Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang
Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. MICCAI (1) (2016)
Junqiang Du, Lipeng Wang, Biao Jie, Daoqiang Zhang
Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA. Comput. Medical Imaging Graph. 52 (2016)
Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang
Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Anal. 32 (2016)
Fengjun Zhao, Yanrong Chen, Huangjian Yi, Xiaowei He, Biao Jie
Vessel Extraction by Graph Cut Method based on Centerline Estimation. ICIMCS (2016)
Xintao Ding, Yonglong Luo, Yunyun Yi, Biao Jie, Taochun Wang, Weixin Bian
Orthogonal design for scale invariant feature transform optimization. J. Electronic Imaging 25 (5) (2016)
Biao Jie, Mingxia Liu, Xi Jiang, Daoqiang Zhang
Sub-network Based Kernels for Brain Network Classification. BCB (2016)
Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang
Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. PRNI (2015)
Lipeng Wang, Fei Fei, Biao Jie, Daoqiang Zhang
Combining Multiple Network Features for Mild Cognitive Impairment Classification. ICDM Workshops (2014)
Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. MLINI@NIPS (2014)
Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang
The New Graph Kernels on Connectivity Networks for Identification of MCI. MLINI@NIPS (2014)
Fei Fei, Biao Jie, Daoqiang Zhang
Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification. Brain Connect. 4 (5) (2014)
Fei Fei, Biao Jie, Lipeng Wang, Daoqiang Zhang
Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment. PRNI (2014)
Biao Jie, Dinggang Shen, Daoqiang Zhang
Brain Connectivity Hyper-Network for MCI Classification. MICCAI (2) (2014)
Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. IEEE Trans. Biomed. Eng. 61 (2) (2014)
Yang Li, Chong-Yaw Wee, Biao Jie, Zi-Wen Peng, Dinggang Shen
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. Neuroinformatics 12 (3) (2014)
Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen
Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. MLMI (2013)
Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen
Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. MICCAI (1) (2013)
Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. MICCAI (2) (2013)
Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
Integrating Multiple Network Properties for MCI Identification. MLMI (2013)
Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. MBIA (2012)