Biao Jie - RankMe

71 papers Journal 36Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FS-MCS: A reinforcement learning-based data inference scheme for sparse mobile crowd sensing. Ad Hoc Networks Yuan Tao, Taochun Wang, Fulong Chen, Biao Jie, Junmei Cai, Dong Xie
2026	J	`jnl`	MTNet: A Multi-Task Learning Framework That Integrates Intra-Task and Task-Specific Dependencies for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. Shaokun Zhang, Rui Wang, Hongjun Tang, Kaizhong Zuo, Peng Jiang, Peng Hu, Wenjie Li, Biao Jie, Peize Zhao
2025	J	`jnl`	ARBFPN-YOLOv8: auxiliary reversible bidirectional feature pyramid network for UAV small target detection. Signal Image Video Process. Feng Luo, Weixin Bian, Biao Jie, Haotong Dong, Xinglin Fu
2025	J	`jnl`	BFNet: Boundary guidance signal and feature fusion network for camouflaged object detection. Image Vis. Comput. Xinglin Fu, Weixin Bian, Biao Jie, Haotong Dong, Zhiwei He
2025	J	`jnl`	DCLNet: Double Collaborative Learning Network on Stationary-Dynamic Functional Brain Network for Brain Disease Classification. IEEE Trans. Image Process. Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Weixin Bian, Yang Yang, Hongwei Li, Fengyun Sun, Mingxia Liu
2025	—	`conf`	MambaCOD: Cross-Modal Mamba Fusion Network with Adapter Tuning for RGB-D Camouflaged Object Detection. PRCV (16) Jiesheng Wu, Lizheng Zhang, Fuyu Zhang, Yong Wu, Biao Jie, Hongchao Li, Ji Du
2025	—	`conf`	OSHMAMBA: One-Scan Hybrid Mamba with Dynamic Chunking for 3D Medical Image Segmentation. BIBM Yang Zhang, Biao Jie, Jiesheng Wu, Yunfei Shen
2025	—	`conf`	SFECNet: Fusion of Structural, Functional and Effective Connectivity Network for Epilepsy Classification. ISBI Yunfei Shen, Biao Jie, Zhaoxiang Wu, Yang Zhang, Yang Yang, Liangchen Hu
2024	J	`jnl`	An adversarial sample detection method based on heterogeneous denoising. Mach. Vis. Appl. Lifang Zhu, Chao Liu, Zhiqiang Zhang, Yifan Cheng, Biao Jie, Xintao Ding
2024	—	`conf`	Double Collaborative Learning on Functional Brain Networks for Brain Disease Classification. ISBI Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Wei Shao, Weixin Bian, Yang Yang, Tongchun Du
2024	J	`jnl`	Fingerprint image super-resolution based on multi-class deep dictionary learning and ridge prior. Signal Image Video Process. Yi Huang, Weixin Bian, Deqin Xu, Biao Jie, Luo Feng
2024	J	`jnl`	Image super-resolution reconstruction based on deep dictionary learning and A+. Signal Image Video Process. Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li
2024	J	`jnl`	LCGNet: Local Sequential Feature Coupling Global Representation Learning for Functional Connectivity Network Analysis With fMRI. IEEE Trans. Medical Imaging Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Tongchun Du, Weixin Bian, Yang Yang, Jun Jia
2024	—	`conf`	Spatial and Temporal Diffusion Attention for Brain Disease Classification. ICBBS Wentao Jiang, Biao Jie, Zhaoxiang Wu, Wen Li
2024	—	`conf`	Structural-Connectivity-Guided Functional Connectivity Representation for Multi-modal Brain Disease Classification. MLMI@MICCAI (1) Zhaoxiang Wu, Biao Jie, Wen Li, Wentao Jiang, Yang Yang, Tongchun Du
2024	J	`jnl`	TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction. Expert Syst. Appl. Chen Wang, Kaizhong Zuo, Shaokun Zhang, Chunyang Liu, Hao Peng, Wenjie Li, Zhangyi Shen, Peng Hu, Rui Wang, Biao Jie
2024	J	`jnl`	Using outlier elimination to assess learning-based correspondence matching methods. Inf. Sci. Xintao Ding, Yonglong Luo, Biao Jie, Qingde Li, Yongqiang Cheng
2023	—	`conf`	Convolutional Recurrent Neural Network with Multi-Scale Kernels on Dynamic Connectivity Network for AD Classification. ICMLSC Xingyu Zhang, Biao Jie, Jianhui Wang
2023	—	`conf`	Image Super-Resolution via Deep Dictionary Learning. ICIG (4) Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li
2023	—	`conf`	Local Sequential Features Coupling Global Representation of Dynamic Functional Connectivity Network for Brain Disease Classification. ISBI Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Weixin Bian, Yang Yang
2023	—	`conf`	Multi-scale Dilated Attention Graph Convolutional Network for Skeleton-Based Action Recognition. PRCV (1) Yang Shu, Wanggen Li, Doudou Li, Kun Gao, Biao Jie
2023	—	`conf`	Sparse-learning-based High-order Dynamic Functional Connectivity Networks for Brain Disease Classification. ICMLSC Jianhui Wang, Biao Jie, Xingyu Zhang, Wen Li, Zhaoxiang Wu, Yang Yang
2022	J	`jnl`	Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification. IEEE J. Biomed. Health Informatics Zhengdong Wang, Biao Jie, Chunxiang Feng, Taochun Wang, Weixin Bian, Xintao Ding, Wen Zhou, Mingxia Liu
2022	J	`jnl`	Multiagent evacuation framework for a virtual fire emergency scenario based on generative adversarial imitation learning. Comput. Animat. Virtual Worlds Wen Zhou, Wenying Jiang, Biao Jie, Weixin Bian
2022	—	`conf`	Self-attention Based High Order Sequence Features of Dynamic Functional Connectivity Networks with rs-fMRI for Brain Disease Classification. CICAI (2) Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie Zhou, Yang Yang
2022	J	`jnl`	Self-attention based high order sequence feature reconstruction of dynamic functional connectivity networks with rs-fMRI for brain disease classification. CoRR Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie Zhou, Yang Yang
2021	J	`jnl`	A Complete User Authentication and Key Agreement Scheme Using Cancelable Biometrics and PUF in Multi-Server Environment. IEEE Trans. Inf. Forensics Secur. Hui Zhang, Weixin Bian, Biao Jie, Deqin Xu, Jun Zhao
2021	—	`conf`	A Novel Method of Template Protection and Two-Factor Authentication Protocol Based on Biometric and PUF. CSS Hui Zhang, Weixin Bian, Biao Jie, Shuwan Sun
2021	J	`jnl`	An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification. Knowl. Based Syst. Ming Zheng, Tong Li, Liping Sun, Taochun Wang, Biao Jie, Weiyi Yang, Mingjing Tang, Changlong Lv
2021	—	`conf`	Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. MLMI@MICCAI Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu
2021	—	`conf`	Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. MLMI@MICCAI Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu
2020	J	`jnl`	A Secure Biometrics and PUFs-Based Authentication Scheme With Key Agreement For Multi-Server Environments. IEEE Access Jun Zhao, Weixin Bian, Deqin Xu, Biao Jie, Xintao Ding, Wen Zhou, Hui Zhang
2020	J	`jnl`	A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Anal. Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang
2020	—	`conf`	Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. MLMI@MICCAI Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2020	J	`jnl`	Local keypoint-based Faster R-CNN. Appl. Intell. Xintao Ding, Qingde Li, Yongqiang Cheng, Jinbao Wang, Weixin Bian, Biao Jie
2020	J	`jnl`	Ordinal Pattern Kernel for Brain Connectivity Network Classification. CoRR Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang
2019	J	`jnl`	A Survey of the Methods on Fingerprint Orientation Field Estimation. IEEE Access Weixin Bian, Deqin Xu, Qingde Li, Yongqiang Cheng, Biao Jie, Xintao Ding
2019	—	`conf`	Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. GLMI@MICCAI Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu
2019	J	`jnl`	Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network. IEEE Access Wen Zhou, Fei Chen, Yongshuo Zong, Dadong Zhao, Biao Jie, Zhengdong Wang, Chenxi Huang, Eddie-Yin-Kwee Ng
2019	—	`ed.`	Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings GLMI@MICCAI Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu
2019	J	`jnl`	Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks. IEEE Access Mi Wang, Biao Jie, Weixin Bian, Xintao Ding, Wen Zhou, Zhengdong Wang, Mingxia Liu
2019	—	`conf`	Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification. GLMI@MICCAI Zhengdong Wang, Biao Jie, Mi Wang, Chunxiang Feng, Wen Zhou, Dinggang Shen, Mingxia Liu
2019	J	`jnl`	Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. Medical Image Anal. Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen
2019	J	`jnl`	Webvr Human-Centered Indoor Layout Design Framework Using a Convolutional Neural Network and Deep Q-Learning. IEEE Access Wen Zhou, Wenying Jiang, Weixin Bian, Biao Jie
2018	—	`conf`	Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. MLMI@MICCAI Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2018	J	`jnl`	Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease. Medical Image Anal. Biao Jie, Mingxia Liu, Dinggang Shen
2018	J	`jnl`	Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu
2018	J	`jnl`	Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Trans. Image Process. Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen
2017	—	`conf`	Multimodal Hyper-connectivity Networks for MCI Classification. MICCAI (1) Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
2017	J	`jnl`	Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans. Biomed. Eng. Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen
2016	J	`jnl`	Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Anal. Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang
2016	J	`jnl`	Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA. Comput. Medical Imaging Graph. Junqiang Du, Lipeng Wang, Biao Jie, Daoqiang Zhang
2016	—	`conf`	Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. MICCAI (1) Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang
2016	J	`jnl`	Orthogonal design for scale invariant feature transform optimization. J. Electronic Imaging Xintao Ding, Yonglong Luo, Yunyun Yi, Biao Jie, Taochun Wang, Weixin Bian
2016	—	`conf`	Sub-network Based Kernels for Brain Network Classification. BCB Biao Jie, Mingxia Liu, Xi Jiang, Daoqiang Zhang
2016	—	`conf`	Vessel Extraction by Graph Cut Method based on Centerline Estimation. ICIMCS Fengjun Zhao, Yanrong Chen, Huangjian Yi, Xiaowei He, Biao Jie
2015	—	`conf`	Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. PRNI Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang
2014	—	`conf`	Brain Connectivity Hyper-Network for MCI Classification. MICCAI (2) Biao Jie, Dinggang Shen, Daoqiang Zhang
2014	—	`conf`	Combining Multiple Network Features for Mild Cognitive Impairment Classification. ICDM Workshops Lipeng Wang, Fei Fei, Biao Jie, Daoqiang Zhang
2014	—	`conf`	Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment. PRNI Fei Fei, Biao Jie, Lipeng Wang, Daoqiang Zhang
2014	J	`jnl`	Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification. Brain Connect. Fei Fei, Biao Jie, Daoqiang Zhang
2014	J	`jnl`	Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. IEEE Trans. Biomed. Eng. Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen
2014	—	`conf`	Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. MLINI@NIPS Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang
2014	J	`jnl`	Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. Neuroinformatics Yang Li, Chong-Yaw Wee, Biao Jie, Zi-Wen Peng, Dinggang Shen
2014	—	`conf`	The New Graph Kernels on Connectivity Networks for Identification of MCI. MLINI@NIPS Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang
2013	—	`conf`	Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. MICCAI (2) Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen
2013	—	`conf`	Integrating Multiple Network Properties for MCI Identification. MLMI Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
2013	—	`conf`	Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. MICCAI (1) Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen
2013	—	`conf`	Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. MLMI Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen
2012	—	`conf`	Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. MBIA Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen