Complexity Analysis on the Aerodynamic Performance of the Mega High-Speed Train Caused by the Wind Barrier on the Embankment. - He-xuan Hu 001; Wan-xin Lei; Ye Zhang 010 (Complex., 2018)

Application of the Bionic Concept in Reducing the Complexity Noise and Drag of the Mega High-Speed Train Based on Computer Simulation Technologies. - He-xuan Hu 001; Bo Tang; Ye Zhang 010 (Complex., 2018)

Vehicular Ad Hoc Network Representation Learning for Recommendations in Internet of Things. - He-Xuan Hu 001; Bo Tang; Ye Zhang 010; Wei Wang 077 (IEEE Trans. Ind. Informatics, 2020)

Network Representation Learning-Enhanced Multisource Information Fusion Model for POI Recommendation in Smart City. - He-Xuan Hu 001; Zhaowei Jiang; Yunfeng Zhao; Ye Zhang 010; Heng Wang 004; Wei Wang 077 (IEEE Internet Things J., 2021)

Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors. - Hexuan Hu 001; Qingqiu Li; Yunfeng Zhao; Ye Zhang 010 (IEEE Trans. Ind. Informatics, 2021)

Multimodal Brain Tumor Segmentation Based on an Intelligent UNET-LSTM Algorithm in Smart Hospitals. - He-Xuan Hu 001; Wen-Jie Mao; Zhen-Zhou Lin; Qiang Hu; Ye Zhang 010 (ACM Trans. Internet Techn., 2021)

Attention Mechanism With Spatial-Temporal Joint Model for Traffic Flow Speed Prediction. - Hexuan Hu 001; Zhen-Zhou Lin; Qiang Hu; Ye Zhang 010 (IEEE Trans. Intell. Transp. Syst., 2022)

Deep-Learning-Based Mobile Group Intelligence Perception Mechanism Oriented to User Privacy and Data Security in the Internet of Things. - Hexuan Hu 001; Lizhi Wang; Qiang Hu; Yongxi Bu; Ye Zhang 010 (IEEE Wirel. Commun., 2022)

Potential friendship discovery in social networks based on hybrid ensemble multiple collaborative filtering models in a 5G network environment. - Hexuan Hu 001; Zhen-Zhou Lin; Qiang Hu; Ye Zhang 010 (Digit. Commun. Networks, 2022)

Pedestrian target detection on high-speed pavement using improved YOLOv5. - Qiang Hu; Han Liu; Zhi-Hao Chen; Hexuan Hu 001; Ye Zhang 010; Zhen-Yun Hu (ICDIP, 2023)

Rainfall spatiotemporal interpolation method based on CNN-GRU with attention. - Qiang Hu; Qi Sun; Zhi-Hao Chen; Hexuan Hu 001; Ye Zhang 010; Zhen-Yun Hu (ICDIP, 2023)

A Masked One-Dimensional Convolutional Autoencoder for Bearing Fault Diagnosis Based on Digital Twin Enabled Industrial Internet of Things. - He-Xuan Hu 001; Yi Feng; Qiang Hu; Ye Zhang 010 (IEEE J. Sel. Areas Commun., 2023)

A Multi-Layer Model Based on Transformer and Deep Learning for Traffic Flow Prediction. - He-Xuan Hu 001; Qiang Hu; Guoping Tan; Ye Zhang 010; Zhen-Zhou Lin (IEEE Trans. Intell. Transp. Syst., 2024)

Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks. - He-xuan Hu 001; Chengcheng Cao; Qiang Hu; Ye Zhang 010 (Inf. Fusion, 2024)

A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things. - He-Xuan Hu 001; Chengcheng Cao; Qiang Hu; Ye Zhang 010; Zhen-Zhou Lin (IEEE Internet Things J., 2024)

Multi-Source Information Fusion Based DLaaS for Traffic Flow Prediction. - Hexuan Hu 001; Zhen-Zhou Lin; Qiang Hu; Ye Zhang 010; Wei Wei 006; Wei Wang 077 (IEEE Trans. Computers, 2024)

MFVAE: A Multiscale Fuzzy Variational Autoencoder for Big Data-Based Fault Diagnosis in Gearbox. - He-xuan Hu 001; Yicheng Cai; Qing Meng; Han Cui; Qiang Hu; Ye Zhang 010 (IEEE Trans. Fuzzy Syst., 2025)