Yongxiong Wang

According to our database, Yongxiong Wang authored at least 54 papers between 2005 and 2024.

Collaborative distances:

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

2024

ViTFSL-Baseline: A Simple Baseline of Vision Transformer Network for Few-Shot Image Classification.

Guangpeng Wang, Yongxiong Wang, Zhiqun Pan, Xiaoming Wang, Jiapeng Zhang, Jiayun Pan

IEEE Access, 2024

A Double Self-Supervised Model for Pitting Detection on Ball Screws.

Xiaoming Wang, Yongxiong Wang, Zhiqun Pan, Guangpeng Wang, Junfan Chen

IEEE Access, 2024

2023

Dual-Branch TransV-Net for 3-D Echocardiography Segmentation.

Jiapeng Zhang, Yongxiong Wang, Lijun Chen, Jinlong Liu, Sunjie Zhang, Zhiqun Pan, Zhe Wang, Zhenhui Tang, Ying Guo

IEEE Trans. Ind. Informatics, December, 2023

STILN: A novel spatial-temporal information learning network for EEG-based emotion recognition.

Yiheng Tang, Yongxiong Wang, Xiaoli Zhang, Zhe Wang

Biomed. Signal Process. Control., August, 2023

Correction to: Self-attention network for few-shot learning based on nearest-neighbor algorithm.

Guangpeng Wang, Yongxiong Wang

Mach. Vis. Appl., March, 2023

Self-attention network for few-shot learning based on nearest-neighbor algorithm.

Guangpeng Wang, Yongxiong Wang

Mach. Vis. Appl., March, 2023

Composite Attention Residual U-Net for Rib Fracture Detection.

Xiaoming Wang, Yongxiong Wang

Entropy, March, 2023

Toward Purifying Defect Feature for Multilabel Sewer Defect Classification.

Chuanfei Hu, Bo Dong, Hang Shao, Jiapeng Zhang, Yongxiong Wang

IEEE Trans. Instrum. Meas., 2023

Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders.

Zhanpeng Zheng, Zhong Yin, Yongxiong Wang, Jianhua Zhang

Expert Syst. Appl., 2023

A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition.

Zhe Wang, Yongxiong Wang, Jiapeng Zhang, Yiheng Tang, Zhiqun Pan

CoRR, 2023

Towards Trustworthy Multi-Label Sewer Defect Classification via Evidential Deep Learning.

Chenyang Zhao, Chuanfei Hu, Hang Shao, Zhe Wang, Yongxiong Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

LDTSF: A Label-Decoupling Teacher-Student Framework for Semi-Supervised Echocardiography Segmentation.

Jiapeng Zhang, Yongxiong Wang, Zhiqun Pan, Zhenhui Tang, Lijun Chen, Jinlong Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Spatial-Temporal Feature Fusion Neural Network for EEG-Based Emotion Recognition.

Zhe Wang, Yongxiong Wang, Jiapeng Zhang, Chuanfei Hu, Zhong Yin, Yu Song

IEEE Trans. Instrum. Meas., 2022

Joint face detection and Facial Landmark Localization using graph match and pseudo label.

Zhiqun Pan, Yongxiong Wang, Sunjie Zhang

Signal Process. Image Commun., 2022

Fovea localization by blood vessel vector in abnormal fundus images.

Yinghua Fu, Ge Zhang, Jiang Li, Dongyan Pan, Yongxiong Wang, Dawei Zhang

Pattern Recognit., 2022

Multiple organ-specific cancers classification from PET/CT images using deep learning.

Jiapeng Zhang, Yongxiong Wang, Jianjun Liu, Zhenhui Tang, Zhe Wang

Multim. Tools Appl., 2022

Progressive Erasing Network with consistency loss for fine-grained visual classification.

Jin Peng, Yongxiong Wang, Zeping Zhou

J. Vis. Commun. Image Represent., 2022

Rich global feature guided network for monocular depth estimation.

Bingyuan Wu, Yongxiong Wang

Image Vis. Comput., 2022

Regressive Pseudo Label for Weakly Supervised Facial Landmark Detection.

Zhiqun Pan, Yongxiong Wang, Bin Tan

IEEE Internet Things J., 2022

Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning.

Chenyang Zhao, Chuanfei Hu, Hang Shao, Zhe Wang, Yongxiong Wang

CoRR, 2022

ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition.

Chuanfei Hu, Hang Shao, Bo Dong, Zhe Wang, Yongxiong Wang

CoRR, 2022

An Anomaly Detection Method Based on Self-Supervised Learning with Soft Label Assignment for Defect Visual Inspection.

Chuanfei Hu, Yongxiong Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Nondestructive Defect Detection in Castings by Using Spatial Attention Bilinear Convolutional Neural Network.

Zhenhui Tang, Engang Tian, Yongxiong Wang, Licheng Wang, Taicheng Yang

IEEE Trans. Ind. Informatics, 2021

A sparse focus framework for visual fine-grained classification.

Yongxiong Wang, Guangjun Li, Li Ma

Multim. Tools Appl., 2021

Generative image inpainting with salient prior and relative total variation.

Hang Shao, Yongxiong Wang

J. Vis. Commun. Image Represent., 2021

Learning efficient multi-task stereo matching network with richer feature information.

Jie Wang, Sunjie Zhang, Yongxiong Wang, Zhengyu Zhu

Neurocomputing, 2021

Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion.

Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen

CoRR, 2021

Multi-branch Channel-wise Enhancement Network for Fine-grained Visual Recognition.

Guangjun Li, Yongxiong Wang, Fengting Zhu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Feature Aggregation Network with Tri-Hybrid Loss for Instance Segmentation.

Zeping Zhou, Yongxiong Wang, Jin Peng

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Contrastive Representation For Few-Shot Vehicle Footprint Recognition.

Yongxiong Wang, Chuanfei Hu, Guangpeng Wang, Xu Lin

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

2020

An Efficient Convolutional Neural Network Model Based on Object-Level Attention Mechanism for Casting Defect Detection on Radiography Images.

Chuanfei Hu, Yongxiong Wang

IEEE Trans. Ind. Electron., 2020

Generative image inpainting via edge structure and color aware fusion.

Hang Shao, Yongxiong Wang, Yinghua Fu, Zhong Yin

Signal Process. Image Commun., 2020

View-based weight network for 3D object recognition.

Qiang Huang, Yongxiong Wang, Zhong Yin

Image Vis. Comput., 2020

Real-time salient object detection with boundary information guidance.

Yongxiong Wang, Kai Chen, Yan Song

Neurocomputing, 2020

Locally robust EEG feature selection for individual-independent emotion recognition.

Zhong Yin, Lei Liu, Jianing Chen, Boxi Zhao, Yongxiong Wang

Expert Syst. Appl., 2020

Self-attention guided model for defect detection of aluminium alloy casting on X-ray image.

Yongxiong Wang, Chuanfei Hu, Kai Chen, Zhong Yin

Comput. Electr. Eng., 2020

Salient Object Detection with Boundary Information.

Kai Chen, Yongxiong Wang, Chuanfei Hu, Hang Shao

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

2019

Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework.

Zhong Yin, Mengyuan Zhao, Wei Zhang, Yongxiong Wang, Yagang Wang, Jianhua Zhang

Neurocomputing, 2019

Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders.

Shuo Yang, Zhong Yin, Yagang Wang, Wei Zhang, Yongxiong Wang, Jianhua Zhang

Comput. Biol. Medicine, 2019

Path Planning via an Improved DQN-Based Learning Policy.

Liangheng Lv, Sunjie Zhang, Derui Ding, Yongxiong Wang

IEEE Access, 2019

2018

Residual network with dense block.

Tianzhong Song, Yan Song, Yongxiong Wang, Xuegang Huang

J. Electronic Imaging, 2018

Optimal control of non-minimum phase integrating processes with time delay using disturbance observer-based control scheme.

Wei Zhang, Yagang Wang, Zhong Yin, Yongxiong Wang, Weidong Zhang

Int. J. Syst. Sci., 2018

2017

A novel local feature descriptor based on energy information for human activity recognition.

Yongxiong Wang, Yubo Shi, Guoliang Wei

Neurocomputing, 2017

Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination.

Zhong Yin, Yongxiong Wang, Li Liu, Wei Zhang, Jianhua Zhang

Frontiers Neurorobotics, 2017

Recognition of emotions using multimodal physiological signals and an ensemble deep learning model.

Zhong Yin, Mengyuan Zhao, Yongxiong Wang, Jingdong Yang, Jianhua Zhang

Comput. Methods Programs Biomed., 2017

2016

Probabilistic framework of visual anomaly detection for unbalanced data.

Yongxiong Wang, Xuan Li, Xueming Ding

Neurocomputing, 2016

Event-based distributed set-membership filtering for a class of time-varying non-linear systems over sensor networks with saturation effects.

Guoliang Wei, Shuai Liu, Licheng Wang, Yongxiong Wang

Int. J. Gen. Syst., 2016

Recursive state estimation for discrete time-varying stochastic nonlinear systems with randomly occurring deception attacks.

Derui Ding, Yuxuan Shen, Yan Song, Yongxiong Wang

Int. J. Gen. Syst., 2016

2015

A self-adaptive weighted affinity propagation clustering for key frames extraction on human action recognition.

Yongxiong Wang, Shuxin Sun, Xueming Ding

J. Vis. Commun. Image Represent., 2015

A Local Feature Descriptor Based on Energy Information for Human Activity Recognition.

Yubo Shi, Yongxiong Wang

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014

Feature and weight selection using Tabu search for improving the recognition rate of duct anomaly.

Yongxiong Wang, Kai Li

Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

2010

A Multifunctional and Portable Optical Sensor for Quantitative Characterization of 3D Surface Texture Properties.

Yantao Shen, Yongxiong Wang, Ning Xi

Int. J. Inf. Acquis., 2010

2009

Quantitatively characterizing automotive interior surfaces using an Optical TIR-based texture sensor.

Josette Zaklit, Yongxiong Wang, Yantao Shen, Ning Xi

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

2005

Dynamic performance enhancement of PVDF force sensor for micromanipulation.

Yantao Shen, Ning Xi, Wen Jung Li, Yongxiong Wang

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005