Xianbin Wen

According to our database, Xianbin Wen authored at least 54 papers between 2004 and 2024.

Collaborative distances:

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

2024

LPNet: A remote sensing scene classification method based on large kernel convolution and parameter fusion.

Guowei Wang, Furong Shi, Xinyu Wang, Haixia Xu, Liming Yuan, Xianbin Wen

IET Image Process., July, 2024

Visual Tracking based on deformable Transformer and spatiotemporal information.

Ruixu Wu, Xianbin Wen, Liming Yuan, Haixia Xu, Yanli Liu

Eng. Appl. Artif. Intell., January, 2024

Dynamic Convolution Covariance Network Using Multiscale Feature Fusion for Remote Sensing Scene Image Classification.

Xinyu Wang, Furong Shi, Haixia Xu, Liming Yuan, Xianbin Wen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Multiscale Attention-Based Subdomain Dynamic Adaptation for Cross-Domain Scene Classification.

Xinyu Wang, Haixia Xu, Furong Shi, Liming Yuan, Xianbin Wen

IEEE Geosci. Remote. Sens. Lett., 2024

X-CDNet: A real-time crosswalk detector based on YOLOX.

Xingyuan Lu, Yanbing Xue, Zhigang Wang, Haixia Xu, Xianbin Wen

J. Vis. Commun. Image Represent., 2024

2023

The Impact of Arabic Diacritization on Word Embeddings.

Mohamed Abbache, Ahmed Abbache, Jingwen Xu, Farid Meziane, Xianbin Wen

ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2023

Pose-guided feature region-based fusion network for occluded person re-identification.

Gengsheng Xie, Xianbin Wen, Liming Yuan, Jianchen Wang, Changlun Guo, Yansong Jia, Minghao Li

Multim. Syst., June, 2023

RMHNet: A Relation-Aware Multi-granularity Hierarchical Network for Person Re-identification.

Gengsheng Xie, Xianbin Wen

Neural Process. Lett., April, 2023

Generalized attention-based deep multi-instance learning.

Lu Zhao, Liming Yuan, Kun Hao, Xianbin Wen

Multim. Syst., 2023

A lightweight and stochastic depth residual attention network for remote sensing scene classification.

Xinyu Wang, Hai-Xia Xu, Liming Yuan, Xianbin Wen

IET Image Process., 2023

2022

A Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a Residual Dense Attention ConvNet.

Xinyu Wang, Haixia Xu, Liming Yuan, Wei Dai, Xianbin Wen

Remote. Sens., 2022

Multiple Regularization and Analysis of Deep Capsule Network.

Kun Sun, Haixia Xu, Liming Yuan, Xianbin Wen

Pattern Anal. Appl., 2022

Multiview clustering via consistent and specific nonnegative matrix factorization with graph regularization.

Haixia Xu, Limin Gong, Hai-Zhen Xuan, Xusheng Zheng, Zan Gao, Xianbin Wen

Multim. Syst., 2022

Correction: STASiamRPN: visual tracking based on spatiotemporal and attention.

Ruixu Wu, Xianbin Wen, Zhanlu Liu, Liming Yuan, Haixia Xu

Multim. Syst., 2022

STASiamRPN: visual tracking based on spatiotemporal and attention.

Ruixu Wu, Xianbin Wen, Zhanlu Liu, Liming Yuan, Haixia Xu

Multim. Syst., 2022

A tiny deep capsule network.

Kun Sun, Haixia Xu, Liming Yuan, Xianbin Wen

Int. J. Mach. Learn. Cybern., 2022

DASFTOT: Dual attention spatiotemporal fused transformer for object tracking.

Ruixu Wu, Xianbin Wen, Liming Yuan, Hai-Xia Xu

Knowl. Based Syst., 2022

Global Correlative Network for Person re-identification.

Gengsheng Xie, Xianbin Wen, Liming Yuan, Haixia Xu, Zhanlu Liu

Neurocomputing, 2022

End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss.

Nan Liang, Liming Yuan, Xianbin Wen, Haixia Xu, Jingyi Wang

IEEE Access, 2022

Multi-View Representation Learning for Multi-Instance Learning with Applications to Medical Image Classification.

Lu Zhao, Liming Yuan, Zhenliang Li, Xianbin Wen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification.

Yi Ding, Lu Zhao, Liming Yuan, Xianbin Wen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

CSDS: End-to-End Aerial Scenes Classification With Depthwise Separable Convolution and an Attention Mechanism.

Xinyu Wang, Liming Yuan, Haixia Xu, Xianbin Wen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Dense capsule networks with fewer parameters.

Kun Sun, Xianbin Wen, Liming Yuan, Haixia Xu

Soft Comput., 2021

Non-full multi-layer feature representations for person re-identification.

Jianchen Wang, Jianguang Zhang, Xianbin Wen

Multim. Tools Appl., 2021

Deep capsule network regularization based on generative adversarial network framework.

Kun Sun, Liming Yuan, Haixia Xu, Xianbin Wen

J. Electronic Imaging, 2021

Channel-exchanged feature representations for person re-identification.

Jianchen Wang, Liming Yuan, Haixia Xu, Gengsheng Xie, Xianbin Wen

Inf. Sci., 2021

Pairwise attention network for cross-domain image recognition.

Zan Gao, Yanbo Liu, Guangping Xu, Xianbin Wen

Neurocomputing, 2021

Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification.

Minghao Li, Liming Yuan, Xianbin Wen, Jianchen Wang, Gengsheng Xie, Yansong Jia

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Multiple-instance learning via multiple-point concept based instance selection.

Liming Yuan, Guangping Xu, Lu Zhao, Xianbin Wen, Haixia Xu

Int. J. Mach. Learn. Cybern., 2020

Deep Tensor Capsule Network.

Kun Sun, Liming Yuan, Haixia Xu, Xianbin Wen

IEEE Access, 2020

Integrating aspect-aware interactive attention and emotional position-aware for multi-aspect sentiment analysis.

Xiaoye Wang, Xiaowen Zhou, Zan Gao, Peng Yang, Xianbin Wen, Hongyun Ning

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Local-Variance-Based Attention For Visual Tracking.

Changlun Guo, Xianbin Wen, Liming Yuan, Haixia Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification.

Zhenliang Li, Liming Yuan, Haixia Xu, Rui Cheng, Xianbin Wen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis.

Rui Cheng, Liming Yuan, Haixia Xu, Zhenliang Li, Xianbin Wen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images.

Xiaoying Wu, Xianbin Wen, Liming Yuan, Changlun Guo, Haixia Xu

IEEE Access, 2019

Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features.

Qingxia Meng, Xianbin Wen, Liming Yuan, Haixia Xu

IEEE Access, 2019

A Precise and Stable Segmentation Algorithm of SAR Images Based on Random Weighting Method and Modified Level Set.

Shanshan Lin, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng

IEEE Access, 2019

2018

Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model.

Jiaxing Liu, Xianbin Wen, Qingxia Meng, Haixia Xu, Liming Yuan

Remote. Sens., 2018

Accurate Range-free Localization Based on Quantum Particle Swarm Optimization in Heterogeneous Wireless Sensor Networks.

Wenlan Wu, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng

KSII Trans. Internet Inf. Syst., 2018

Efficient range-free localization using elliptical distance correction in heterogeneous wireless sensor networks.

Wenlan Wu, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng

Int. J. Distributed Sens. Networks, 2018

Range-free localization using expected hop progress in anisotropic wireless sensor networks.

Wu Wen, Xianbin Wen, Liming Yuan, Haixia Xu

EURASIP J. Wirel. Commun. Netw., 2018

An Iterative Instance Selection Based Framework for Multiple-Instance Learning.

Liming Yuan, Xianbin Wen, Lu Zhao, Haixia Xu

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Multiple- Instance Learning with Empirical Estimation Guided Instance Selection.

Liming Yuan, Xianbin Wen, Haixia Xu, Lu Zhao

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images.

Aobo Zhai, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng

Remote. Sens., 2017

A robust approach of watermarking in contourlet domain based on probabilistic neural network.

Jia-Xing Liu, Xianbin Wen, Liming Yuan, Hai-Xia Xu

Multim. Tools Appl., 2017

基于改进双树复小波和灰度-梯度共生矩阵的纹理图像检索算法 (Retrieval Algorithm for Texture Image Based on Improved Dual Tree Complex Wavelet Transform and Gray Gradient Co-occurrence Matrix).

Aobo Zhai, Xianbin Wen, Xin Zhang

计算机科学, 2017

A Range-Based Monte Carlo Box Algorithm for Mobile Nodes Localization in WSNs.

Dan Li, Xianbin Wen

KSII Trans. Internet Inf. Syst., 2017

2015

Amorphous Localization Algorithm Based on BP Artificial Neural Network.

Lin-zhe Zhao, Xianbin Wen, Dan Li

Int. J. Distributed Sens. Networks, 2015

An Improved PSO Algorithm for Distributed Localization in Wireless Sensor Networks.

Dan Li, Xianbin Wen

Int. J. Distributed Sens. Networks, 2015

2011

Images Registration Based on Mutual Information and Nonsubsampled Contourlet Transform.

Dandan Tian, Xianbin Wen, Hai-Xia Xu, Ming Lei

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

Signal Reconstruction Based on Block Compressed Sensing.

Liqing Sun, Xianbin Wen, Ming Lei, Haixia Xu, Junxue Zhu, Yali Wei

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2009

Multiscale Spectral Clustering Using Random Walk Based Similarity Measure.

Haixia Xu, Zheng Tian, Mingtao Ding, Xianbin Wen

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2005

Classification of SAR Imagery Using Multiscale Self-organizing Network.

Xianbin Wen

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

The Cook Projection Index Estimation Using the Wavelet Kernel Function.

Wei Lin, Zheng Tian, Fan He, Xianbin Wen

Proceedings of the Advances in Neural Networks, 2004