Jun Zhang

24 papers Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
LBMS-SAM: Segment anything model guided SEM image segmentation for lithium battery materials.
Neural Networks
Yu Qi, Jun Zhang, Jian Kuang, TingTing Ren, Dong Wang, Zhuanti Wu, Hao Zheng, Qiaqia Zhang
2025 J jnl
Frequency Decoupled Domain-Irrelevant Feature Learning for Pan-Sharpening.
IEEE Trans. Circuits Syst. Video Technol.
Jie Zhang, Ke Cao, Keyu Yan, Yunlong Lin, Xuanhua He, Yingying Wang, Rui Li, Chengjun Xie, Jun Zhang, Man Zhou
2024 J jnl
MIFI: MultI-Camera Feature Integration for Robust 3D Distracted Driver Activity Recognition.
IEEE Trans. Intell. Transp. Syst.
Jian Kuang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu
2024 J jnl
MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition.
CoRR
Jian Kuang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu
2024 J jnl
Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems.
IEEE Trans. Intell. Transp. Syst.
Yue Jiang, Wenjing Li, Jian Kuang, Jun Zhang, Zhongcheng Wu, Mahdi Rezaei
2023 J jnl
100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification.
IEEE Trans. Intell. Transp. Syst.
Jing Wang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu, Zhun Zhong, Nicu Sebe
2023 J jnl
FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer.
IEEE Trans. Intell. Transp. Syst.
Haitao Wang, Jie Chen, Zhixiang Huang, Bing Li, Jianming Lv, Jingmin Xi, Bocai Wu, Jun Zhang, Zhongcheng Wu
2023 J jnl
YOLOv4-dense: A smaller and faster YOLOv4 for real-time edge-device based object detection in traffic scene.
IET Image Process.
Yue Jiang, Wenjing Li, Jun Zhang, Fang Li, Zhongcheng Wu
2022 J jnl
A Deep Network Based on Wavelet Transform for Image Compressed Sensing.
Circuits Syst. Signal Process.
Zhu Yin, Zhongcheng Wu, Jun Zhang
2022 J jnl
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction.
IEEE Trans. Intell. Transp. Syst.
Bing Li, Jie Chen, Zhixiang Huang, Haitao Wang, Jianming Lv, Jingmin Xi, Jun Zhang, Zhongcheng Wu
2022 J jnl
Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification.
IEEE Trans. Intell. Transp. Syst.
Wenjing Li, Jing Wang, TingTing Ren, Fang Li, Jun Zhang, Zhongcheng Wu
2022 — conf
Multi-Path Siamese Convolution Network for Offline Handwritten Signature Verification.
ICCDE
Xian Zhang, Zhongcheng Wu, Liyang Xie, Yong Li, Fang Li, Jun Zhang
2022 J jnl
Multilevel wavelet-based hierarchical networks for image compressed sensing.
Pattern Recognit.
Zhu Yin, Wuzhen Shi, Zhongcheng Wu, Jun Zhang
2021 J jnl
A Data Augmentation Approach to Distracted Driving Detection.
Future Internet
Jing Wang, Zhongcheng Wu, Fang Li, Jun Zhang
2021 J jnl
Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning.
Neurocomputing
Wenjing Li, TingTing Ren, Fang Li, Jun Zhang, Zhongcheng Wu
2021 J jnl
Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition.
IEEE Access
Dong Feng, Zhongcheng Wu, Jun Zhang, TingTing Ren
2020 J jnl
Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction.
IEEE Access
Dong Feng, Zhongcheng Wu, Jun Zhang, Ziheng Wu
2020 J jnl
LGSim: local task-invariant and global task-specific similarity for few-shot classification.
Neural Comput. Appl.
Wenjing Li, Zhongcheng Wu, Jun Zhang, TingTing Ren, Fang Li
2019 J jnl
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data.
Sensors
Jun Zhang, Zhongcheng Wu, Fang Li, Chengjun Xie, TingTing Ren, Jie Chen, Liu Liu
2019 J jnl
Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data.
IEEE Access
Jun Zhang, Zhongcheng Wu, Fang Li, Jianfei Luo, TingTing Ren, Song Hu, Wenjing Li, Wei Li
2019 J jnl
Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder.
Appl. Soft Comput.
Jie Chen, Zhongcheng Wu, Jun Zhang
2019 J jnl
Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data.
IEEE Trans. Intell. Transp. Syst.
Jie Chen, Zhongcheng Wu, Jun Zhang
2019 J jnl
Mutual information-based dropout: Learning deep relevant feature representation architectures.
Neurocomputing
Jie Chen, Zhongcheng Wu, Jun Zhang
2018 J jnl
Cross-covariance regularized autoencoders for nonredundant sparse feature representation.
Neurocomputing
Jie Chen, Zhongcheng Wu, Jun Zhang, Fang Li, Wenjing Li, Ziheng Wu