Xintao Ding

According to our database, Xintao Ding authored at least 25 papers between 2014 and 2024.

Collaborative distances:

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

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., July, 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

Core sample consensus method for two-view correspondence matching.

Xintao Ding, Boquan Li, Wen Zhou, Cheng Zhao

Multim. Tools Appl., 2024

Correction to: Core sample consensus method for two-view correspondence matching.

Xintao Ding, Boquan Li, Wen Zhou, Cheng Zhao

Multim. Tools Appl., 2024

2023

Novel learning framework for optimal multi-object video trajectory tracking.

Siyuan Chen, Xiaowu Hu, Wenying Jiang, Wen Zhou, Xintao Ding

Virtual Real. Intell. Hardw., October, 2023

Integrated Registration and Occlusion Handling Based on Deep Learning for Augmented-Reality-Assisted Assembly Instruction.

Wang Li, Junfeng Wang, Maoding Liu, Shiwen Zhao, Xintao Ding

IEEE Trans. Ind. Informatics, May, 2023

Consensus Adversarial Defense Method Based on Augmented Examples.

Xintao Ding, Yongqiang Cheng, Yonglong Luo, Qingde Li, Prosanta Gope

IEEE Trans. Ind. Informatics, 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

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

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

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

2018

A novel social network hybrid recommender system based on hypergraph topologic structure.

Xiaoyao Zheng, Yonglong Luo, Liping Sun, Xintao Ding, Ji Zhang

World Wide Web, 2018

2017

Multi-scale Application of Camera Calibration in Tourism Service Platforms.

Xintao Ding, Yonglong Luo, Guorong Cai, Xiaobo Zhang

J. Inf. Hiding Multim. Signal Process., 2017

An Efficient and Secure Itinerary-Based Data Aggregation Algorithm for WSNs.

Taochun Wang, Ji Zhang, Yonglong Luo, Kaizhong Zuo, Xintao Ding

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Indoor object recognition using pre-trained convolutional neural network.

Xintao Ding, Yonglong Luo, Qingying Yu, Qingde Li, Yongqiang Cheng, Robert Munnoch, Dongfei Xue, Guorong Cai

Proceedings of the 23rd International Conference on Automation and Computing, 2017

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

Outlier-eliminated k-means clustering algorithm based on differential privacy preservation.

Qingying Yu, Yonglong Luo, Chuanming Chen, Xintao Ding

Appl. Intell., 2016

2014

Voronoi Diagram Generation Algorithm based on Delaunay Triangulation.

Liping Sun, Yonglong Luo, Yalei Yu, Xintao Ding

J. Softw., 2014

A Novel Artificial Immune Algorithm for Spatial Clustering with Obstacle Constraint and Its Applications.

Liping Sun, Yonglong Luo, Xintao Ding, Ji Zhang

Comput. Intell. Neurosci., 2014

An adaptive threshod segmentation algorithm to extract dark targets from SAR images.

Kan Zeng, Youjun Ma, Xintao Ding, Mingxia He

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Feature selection and classification of oil spills in SAR image based on statistics and artificial neural network.

Youjun Ma, Kan Zeng, Chaofang Zhao, Xintao Ding, Mingxia He

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014