A Co-segmentation Method for Image Pairs based on Maximum Common Subgraph and GrabCut. - Zhuo Jiang; Cheng Xu 001; Xiaohan Tu; Tao Li; Nan Gao (ICAIP, 2018)

An Enhanced Lightweight Biometric-Based Three-Factor Anonymous Authentication Protocol for Mobile Cloud Computing. - Haixian Chen; Cheng Xu 001; Zisang Xu; Xiaohan Tu (HPCC/SmartCity/DSS, 2019)

Real-Time Depth Estimation with an Optimized Encoder-Decoder Architecture on Embedded Devices. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Guoqi Xie; Renfa Li (HPCC/SmartCity/DSS, 2019)

Learning Depth for Scene Reconstruction Using an Encoder-Decoder Model. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Guoqi Xie; Jing Huang 012; Renfa Li; Junsong Yuan 001 (IEEE Access, 2020)

Traffic Sign Detection and Recognition Using Novel Center-Point Estimation and Local Features. - Lijing Wei; Cheng Xu 001; Siqi Li 005; Xiaohan Tu (IEEE Access, 2020)

A Deep Learning-Based Method for Overhead Contact System Component Recognition Using Mobile 2D LiDAR. - Lipei Chen; Cheng Xu 001; Shuai Lin; Siqi Li 005; Xiaohan Tu (Sensors, 2020)

LiDAR Point Cloud Recognition of Overhead Catenary System with Deep Learning. - Shuai Lin; Cheng Xu 001; Lipei Chen; Siqi Li 005; Xiaohan Tu (Sensors, 2020)

LiDAR Point Cloud Recognition and Visualization with Deep Learning for Overhead Contact Inspection. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Shuai Lin; Lipei Chen; Guoqi Xie; Renfa Li (Sensors, 2020)

Disinfection of Vehicle Interior Space as a Major Step Towards the Recovery and Development of Post-pandemic Car-Sharing Industry. - Zhiqian Hu; Xiaohan Tu (AHFE (18), 2021)

Optimized Monocular Depth Estimation With Reparameterization on Embedded Devices. - Siping Liu; Renfa Li; Xiaohan Tu; Guoqi Xie; Cheng Xu 001 (HPCC/DSS/SmartCity/DependSys, 2021)

An Optimized Deep Neural Network for Overhead Contact System Recognition from LiDAR Point Clouds. - Siping Liu; Xiaohan Tu; Cheng Xu 001; Lipei Chen; Shuai Lin; Renfa Li (Remote. Sens., 2021)

Efficient Monocular Depth Estimation for Edge Devices in Internet of Things. - Xiaohan Tu; Cheng Xu 001; Siping Liu; Renfa Li; Guoqi Xie; Jing Huang 012; Laurence Tianruo Yang (IEEE Trans. Ind. Informatics, 2021)

Deep neural networks with attention mechanism for monocular depth estimation on embedded devices. - Siping Liu; Xiaohan Tu; Cheng Xu 001; Renfa Li (Future Gener. Comput. Syst., 2022)

Lightweight Monocular Depth Estimation on Edge Devices. - Siping Liu; Laurence Tianruo Yang; Xiaohan Tu; Renfa Li; Cheng Xu 001 (IEEE Internet Things J., 2022)

Point cloud segmentation of overhead contact systems with deep learning in high-speed rails. - Xiaohan Tu; Chuanhao Zhang; Siping Liu; Cheng Xu 001; Renfa Li (J. Netw. Comput. Appl., 2023)

Fast Drone Detection With Optimized Feature Capture and Modeling Algorithms. - Xiaohan Tu; Chuanhao Zhang; Haiyan Zhuang; Siping Liu; Renfa Li (IEEE Access, 2024)

Accelerated Feature Extraction and Refinement for Improved Aerial Scene Categorization. - Xiaohan Tu; Laurence Tianruo Yang; Siping Liu; Renfa Li (IEEE Trans. Geosci. Remote. Sens., 2024)