Jun Zhang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Driving Behavior

Feature Representations

Top Venues

IEEE Trans. Intell. Transp. Syst.

Neural Comput. Appl.

Publications

Haitao Wang, Jie Chen, Zhixiang Huang, Bing Li, Jianming Lv, Jingmin Xi, Bocai Wu, Jun Zhang, Zhongcheng Wu
FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer. IEEE Trans. Intell. Transp. Syst. 24 (2) (2023)
Jing Wang, Wenjing Li, Fang Li, Jun Zhang, Zhongcheng Wu, Zhun Zhong, Nicu Sebe
100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
Wenjing Li, Jing Wang, Tingting Ren, Fang Li, Jun Zhang, Zhongcheng Wu
Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Xian Zhang, Zhongcheng Wu, Liyang Xie, Yong Li, Fang Li, Jun Zhang
Multi-Path Siamese Convolution Network for Offline Handwritten Signature Verification. ICCDE (2022)
Bing Li, Jie Chen, Zhixiang Huang, Haitao Wang, Jianming Lv, Jingmin Xi, Jun Zhang, Zhongcheng Wu
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Jing Wang, ZhongCheng Wu, Fang Li, Jun Zhang
A Data Augmentation Approach to Distracted Driving Detection. Future Internet 13 (1) (2021)
Dong Feng, ZhongCheng Wu, Jun Zhang, Tingting Ren
Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition. IEEE Access 9 (2021)
Wenjing Li, Tingting Ren, Fang Li, Jun Zhang, ZhongCheng Wu
Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning. Neurocomputing 461 (2021)
Wenjing Li, ZhongCheng Wu, Jun Zhang, Tingting Ren, Fang Li
LGSim: local task-invariant and global task-specific similarity for few-shot classification. Neural Comput. Appl. 32 (16) (2020)
Dong Feng, ZhongCheng Wu, Jun Zhang, Ziheng Wu
Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction. IEEE Access 8 (2020)
Jun Zhang, ZhongCheng Wu, Fang Li, Jianfei Luo, Tingting Ren, Song Hu, Wenjing Li, Wei Li
Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data. IEEE Access 7 (2019)
Jie Chen, ZhongCheng Wu, Jun Zhang
Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data. IEEE Trans. Intell. Transp. Syst. 20 (12) (2019)
Jun Zhang, ZhongCheng Wu, Fang Li, Chengjun Xie, Tingting Ren, Jie Chen, Liu Liu
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data. Sensors 19 (6) (2019)
Jie Chen, ZhongCheng Wu, Jun Zhang
Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder. Appl. Soft Comput. 74 (2019)
Jie Chen, ZhongCheng Wu, Jun Zhang
Mutual information-based dropout: Learning deep relevant feature representation architectures. Neurocomputing 361 (2019)
Jie Chen, ZhongCheng Wu, Jun Zhang, Fang Li, Wenjing Li, Ziheng Wu
Cross-covariance regularized autoencoders for nonredundant sparse feature representation. Neurocomputing 316 (2018)
Ziheng Wu, ZhongCheng Wu, Jun Zhang
An improved FCM algorithm with adaptive weights based on SA-PSO. Neural Comput. Appl. 28 (10) (2017)