Cross-covariance regularized autoencoders for nonredundant sparse feature representation. - Jie Chen 035; ZhongCheng Wu; Jun Zhang 034; Fang Li; Wenjing Li 005; Ziheng Wu (Neurocomputing, 2018)

Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data. - Jun Zhang 034; ZhongCheng Wu; Fang Li; Jianfei Luo; Tingting Ren; Song Hu; Wenjing Li 005; Wei Li (IEEE Access, 2019)

Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder. - Jie Chen 035; ZhongCheng Wu; Jun Zhang 034 (Appl. Soft Comput., 2019)

Mutual information-based dropout: Learning deep relevant feature representation architectures. - Jie Chen 035; ZhongCheng Wu; Jun Zhang 034 (Neurocomputing, 2019)

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data. - Jun Zhang 034; ZhongCheng Wu; Fang Li; Chengjun Xie; Tingting Ren; Jie Chen 035; Liu Liu 012 (Sensors, 2019)

Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data. - Jie Chen 035; ZhongCheng Wu; Jun Zhang 034 (IEEE Trans. Intell. Transp. Syst., 2019)

Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction. - Dong Feng; ZhongCheng Wu; Jun Zhang 034; Ziheng Wu (IEEE Access, 2020)

LGSim: local task-invariant and global task-specific similarity for few-shot classification. - Wenjing Li 005; ZhongCheng Wu; Jun Zhang 034; Tingting Ren; Fang Li (Neural Comput. Appl., 2020)

Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition. - Dong Feng; ZhongCheng Wu; Jun Zhang 034; Tingting Ren (IEEE Access, 2021)

A Data Augmentation Approach to Distracted Driving Detection. - Jing Wang 092; ZhongCheng Wu; Fang Li; Jun Zhang 034 (Future Internet, 2021)

Contextual similarity-based multi-level second-order attention network for semi-supervised few-shot learning. - Wenjing Li 005; Tingting Ren; Fang Li; Jun Zhang 034; ZhongCheng Wu (Neurocomputing, 2021)

Multi-Path Siamese Convolution Network for Offline Handwritten Signature Verification. - Xian Zhang; Zhongcheng Wu; Liyang Xie; Yong Li; Fang Li; Jun Zhang 034 (ICCDE, 2022)

A Deep Network Based on Wavelet Transform for Image Compressed Sensing. - Zhu Yin; Zhongcheng Wu; Jun Zhang 034 (Circuits Syst. Signal Process., 2022)

Multilevel wavelet-based hierarchical networks for image compressed sensing. - Zhu Yin; Wuzhen Shi; Zhongcheng Wu; Jun Zhang 034 (Pattern Recognit., 2022)

A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction. - Bing Li; Jie Chen 035; Zhixiang Huang; Haitao Wang; Jianming Lv; Jingmin Xi; Jun Zhang 034; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2022)

Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification. - Wenjing Li 005; Jing Wang 092; Tingting Ren; Fang Li; Jun Zhang 034; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2022)

100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification. - Jing Wang 092; Wenjing Li 005; Fang Li; Jun Zhang 034; Zhongcheng Wu; Zhun Zhong; Nicu Sebe (IEEE Trans. Intell. Transp. Syst., 2023)

YOLOv4-dense: A smaller and faster YOLOv4 for real-time edge-device based object detection in traffic scene. - Yue Jiang; Wenjing Li 005; Jun Zhang 034; Fang Li; Zhongcheng Wu (IET Image Process., 2023)

FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer. - Haitao Wang; Jie Chen 035; Zhixiang Huang; Bing Li; Jianming Lv; Jingmin Xi; Bocai Wu; Jun Zhang 034; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2023)

MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition. - Jian Kuang; Wenjing Li 005; Fang Li; Jun Zhang 034; Zhongcheng Wu (CoRR, 2024)

MIFI: MultI-Camera Feature Integration for Robust 3D Distracted Driver Activity Recognition. - Jian Kuang; Wenjing Li 005; Fang Li; Jun Zhang 034; Zhongcheng Wu (IEEE Trans. Intell. Transp. Syst., 2024)

Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems. - Yue Jiang; Wenjing Li 005; Jian Kuang; Jun Zhang 034; Zhongcheng Wu; Mahdi Rezaei 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Frequency Decoupled Domain-Irrelevant Feature Learning for Pan-Sharpening. - Jie Zhang 033; Ke Cao; Keyu Yan; Yunlong Lin; Xuanhua He; Yingying Wang 005; Rui Li 027; Chengjun Xie; Jun Zhang 034; Man Zhou (IEEE Trans. Circuits Syst. Video Technol., 2025)