Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. - Biao Jie; Daoqiang Zhang; Chong-Yaw Wee; Dinggang Shen (MBIA, 2012)

Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. - Bo Cheng 006; Daoqiang Zhang; Biao Jie; Dinggang Shen (MLMI, 2013)

Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. - Biao Jie; Daoqiang Zhang; Bo Cheng 006; Dinggang Shen (MICCAI (1), 2013)

Integrating Multiple Network Properties for MCI Identification. - Biao Jie; Daoqiang Zhang; Heung-Il Suk; Chong-Yaw Wee; Dinggang Shen (MLMI, 2013)

Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. - Chong-Yaw Wee; Yang Li 010; Biao Jie; Zi-Wen Peng; Dinggang Shen (MICCAI (2), 2013)

Combining Multiple Network Features for Mild Cognitive Impairment Classification. - Lipeng Wang; Fei Fei; Biao Jie; Daoqiang Zhang (ICDM Workshops, 2014)

Brain Connectivity Hyper-Network for MCI Classification. - Biao Jie; Dinggang Shen; Daoqiang Zhang (MICCAI (2), 2014)

The New Graph Kernels on Connectivity Networks for Identification of MCI. - Biao Jie; Xi Jiang 001; Chen Zu; Daoqiang Zhang (MLINI@NIPS, 2014)

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. - Chen Zu; Biao Jie; Songcan Chen; Daoqiang Zhang (MLINI@NIPS, 2014)

Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment. - Fei Fei; Biao Jie; Lipeng Wang; Daoqiang Zhang (PRNI, 2014)

Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification. - Fei Fei; Biao Jie; Daoqiang Zhang (Brain Connect., 2014)

Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. - Yang Li 010; Chong-Yaw Wee; Biao Jie; Zi-Wen Peng; Dinggang Shen (Neuroinformatics, 2014)

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. - Biao Jie; Daoqiang Zhang; Wei Gao; Qian Wang 001; Chong-Yaw Wee; Dinggang Shen (IEEE Trans. Biomed. Eng., 2014)

Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. - Tingting Ye; Chen Zu; Biao Jie; Dinggang Shen; Daoqiang Zhang (PRNI, 2015)

Sub-network Based Kernels for Brain Network Classification. - Biao Jie; Mingxia Liu 001; Xi Jiang 001; Daoqiang Zhang (BCB, 2016)

Vessel Extraction by Graph Cut Method based on Centerline Estimation. - Fengjun Zhao; Yanrong Chen; Huangjian Yi; Xiaowei He; Biao Jie (ICIMCS, 2016)

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. - Mingxia Liu 001; Junqiang Du; Biao Jie; Daoqiang Zhang (MICCAI (1), 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)

Orthogonal design for scale invariant feature transform optimization. - Xintao Ding; Yonglong Luo; Yunyun Yi; Biao Jie; Taochun Wang; Weixin Bian (J. Electronic Imaging, 2016)

Hyper-connectivity of functional networks for brain disease diagnosis. - Biao Jie; Chong-Yaw Wee; Dinggang Shen; Daoqiang Zhang (Medical Image Anal., 2016)

Multimodal Hyper-connectivity Networks for MCI Classification. - Yang Li 010; Xinqiang Gao; Biao Jie; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MICCAI (1), 2017)

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. - Biao Jie; Mingxia Liu 001; Jun Liu 003; Daoqiang Zhang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. - Biao Jie; Mingxia Liu 001; Chunfeng Lian; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2018)

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease. - Biao Jie; Mingxia Liu 001; Dinggang Shen (Medical Image Anal., 2018)

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. - Biao Jie; Mingxia Liu 001; Daoqiang Zhang; Dinggang Shen (IEEE Trans. Image Process., 2018)

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. - Daoqiang Zhang; Jiashuang Huang; Biao Jie; Junqiang Du; Liyang Tu; Mingxia Liu 001 (IEEE Trans. Medical Imaging, 2018)

Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. - Zhengdong Wang; Biao Jie; Weixin Bian; Daoqiang Zhang; Dinggang Shen; Mingxia Liu 001 (GLMI@MICCAI, 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 005; Dinggang Shen; Mingxia Liu 001 (GLMI@MICCAI, 2019)

A Survey of the Methods on Fingerprint Orientation Field Estimation. - Weixin Bian; Deqin Xu; Qingde Li; Yongqiang Cheng 001; Biao Jie; Xintao Ding (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 005; Zhengdong Wang; Mingxia Liu 001 (IEEE Access, 2019)

Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network. - Wen Zhou 005; Fei Chen; Yongshuo Zong; Dadong Zhao; Biao Jie; Zhengdong Wang; Chenxi Huang 001; Eddie-Yin-Kwee Ng (IEEE Access, 2019)

Webvr Human-Centered Indoor Layout Design Framework Using a Convolutional Neural Network and Deep Q-Learning. - Wen Zhou 005; Wenying Jiang; Weixin Bian; Biao Jie (IEEE Access, 2019)

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. - Yang Li 010; Jingyu Liu 002; Xinqiang Gao; Biao Jie; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Medical Image Anal., 2019)

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 001 (MLMI@MICCAI, 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 005; Hui Zhang 039 (IEEE Access, 2020)

Local keypoint-based Faster R-CNN. - Xintao Ding; Qingde Li; Yongqiang Cheng 001; Jinbao Wang; Weixin Bian; Biao Jie (Appl. Intell., 2020)

Ordinal Pattern Kernel for Brain Connectivity Network Classification. - Kai Ma; Biao Jie; Wei Shao 005; Daoqiang Zhang (CoRR, 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)

Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. - Biao Jie; Mingxia Liu 001; Chunfeng Lian; Feng Shi 001; Dinggang Shen (Medical Image Anal., 2020)

A Novel Method of Template Protection and Two-Factor Authentication Protocol Based on Biometric and PUF. - Hui Zhang 039; Weixin Bian; Biao Jie; Shuwan Sun (CSS, 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 001 (MLMI@MICCAI, 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 001 (MLMI@MICCAI, 2021)

An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification. - Ming Zheng; Tong Li 004; Liping Sun; Taochun Wang; Biao Jie; Weiyi Yang; Mingjing Tang; Changlong Lv (Knowl. Based Syst., 2021)

A Complete User Authentication and Key Agreement Scheme Using Cancelable Biometrics and PUF in Multi-Server Environment. - Hui Zhang 039; Weixin Bian; Biao Jie; Deqin Xu; Jun Zhao (IEEE Trans. Inf. Forensics Secur., 2021)

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 140 (CICAI (2), 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 140 (CoRR, 2022)

Multiagent evacuation framework for a virtual fire emergency scenario based on generative adversarial imitation learning. - Wen Zhou 005; Wenying Jiang; Biao Jie; Weixin Bian (Comput. Animat. Virtual Worlds, 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 005; Mingxia Liu 001 (IEEE J. Biomed. Health Informatics, 2022)

Image Super-Resolution via Deep Dictionary Learning. - Yi Huang; Weixin Bian; Biao Jie; Zhiqiang Zhu; Wenhu Li (ICIG (4), 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 140 (ICMLSC, 2023)

Convolutional Recurrent Neural Network with Multi-Scale Kernels on Dynamic Connectivity Network for AD Classification. - Xingyu Zhang; Biao Jie; Jianhui Wang (ICMLSC, 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 140 (ISBI, 2023)

Multi-scale Dilated Attention Graph Convolutional Network for Skeleton-Based Action Recognition. - Yang Shu; Wanggen Li; Doudou Li; Kun Gao; Biao Jie (PRCV (1), 2023)

Double Collaborative Learning on Functional Brain Networks for Brain Disease Classification. - Jie Zhou; Biao Jie; Zhengdong Wang; Zhixiang Zhang; Wei Shao 005; Weixin Bian; Yang Yang 140; Tongchun Du (ISBI, 2024)

Structural-Connectivity-Guided Functional Connectivity Representation for Multi-modal Brain Disease Classification. - Zhaoxiang Wu; Biao Jie; Wen Li; Wentao Jiang; Yang Yang 140; Tongchun Du (MLMI@MICCAI (1), 2024)

TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction. - Chen Wang 143; Kaizhong Zuo; Shaokun Zhang; Chunyang Liu; Hao Peng; Wenjie Li; Zhangyi Shen; Peng Hu; Rui Wang; Biao Jie (Expert Syst. Appl., 2024)

Using outlier elimination to assess learning-based correspondence matching methods. - Xintao Ding; Yonglong Luo; Biao Jie; Qingde Li; Yongqiang Cheng 001 (Inf. Sci., 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., 2024)

An adversarial sample detection method based on heterogeneous denoising. - Lifang Zhu; Chao Liu; Zhiqiang Zhang; Yifan Cheng; Biao Jie; Xintao Ding (Mach. Vis. Appl., 2024)

Fingerprint image super-resolution based on multi-class deep dictionary learning and ridge prior. - Yi Huang; Weixin Bian; Deqin Xu; Biao Jie; Luo Feng (Signal Image Video Process., 2024)

LCGNet: Local Sequential Feature Coupling Global Representation Learning for Functional Connectivity Network Analysis With fMRI. - Jie Zhou; Biao Jie; Zhengdong Wang; Zhixiang Zhang; Tongchun Du; Weixin Bian; Yang Yang 140; Jun Jia (IEEE Trans. Medical Imaging, 2024)

SFECNet: Fusion of Structural, Functional and Effective Connectivity Network for Epilepsy Classification. - Yunfei Shen; Biao Jie; Zhaoxiang Wu; Yang Zhang; Yang Yang 140; Liangchen Hu (ISBI, 2025)

BFNet: Boundary guidance signal and feature fusion network for camouflaged object detection. - Xinglin Fu; Weixin Bian; Biao Jie; Haotong Dong; Zhiwei He (Image Vis. Comput., 2025)

DCLNet: Double Collaborative Learning Network on Stationary-Dynamic Functional Brain Network for Brain Disease Classification. - Jie Zhou; Biao Jie; Zhengdong Wang; Zhixiang Zhang; Weixin Bian; Yang Yang 140; Hongwei Li; Fengyun Sun; Mingxia Liu 001 (IEEE Trans. Image Process., 2025)

ARBFPN-YOLOv8: auxiliary reversible bidirectional feature pyramid network for UAV small target detection. - Feng Luo; Weixin Bian; Biao Jie; Haotong Dong; Xinglin Fu (Signal Image Video Process., 2025)