Robust Image-Based Surface Crack Detection Using Range Data. - Shanglian Zhou; Wei Song (J. Comput. Civ. Eng., 2020)

Leveraging Deep Convolutional Neural Networks Pre-Trained on Autonomous Driving Data for Vehicle Detection From Roadside LiDAR Data. - Shanglian Zhou; Hao Xu 004; Guohui Zhang 001; Tianwei Ma; Yin Yang 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Fused Image dataset for convolutional neural Network-based crack Detection (FIND). - Shanglian Zhou; Carlos Canchila; Wei Song (Zenodo, 2022)

Hyperparameter Optimization and Importance Ranking in Deep Learning-Based Crack Segmentation. - Carlos Canchila; Shanglian Zhou; Wei Song (J. Comput. Civ. Eng., 2024)

DCOR: Dynamic Channel-Wise Outlier Removal to De-Noise LiDAR Data Corrupted by Snow. - Shanglian Zhou; Hao Xu 004; Guohui Zhang 001; Tianwei Ma; Yin Yang 002 (IEEE Trans. Intell. Transp. Syst., 2024)

Deep learning-based pedestrian trajectory prediction and risk assessment at signalized intersections using trajectory data captured through roadside LiDAR. - Shanglian Zhou; Hao Xu 004; Guohui Zhang 001; Tianwei Ma; Yin Yang 002 (J. Intell. Transp. Syst., 2024)

Deep learning-based vehicle detection and tracking from roadside LiDAR data through robust affinity fusion. - Shanglian Zhou; Hanyi Yang; Igor Lashkov; Cong Chen; Hao Xu 004; Guohui Zhang 001; Yin Yang 002 (Expert Syst. Appl., 2025)

Optimized Long Short-Term Memory Network for LiDAR-Based Vehicle Trajectory Prediction Through Bayesian Optimization. - Shanglian Zhou; Igor Lashkov; Hao Xu 004; Guohui Zhang 001; Yin Yang 002 (IEEE Trans. Intell. Transp. Syst., 2025)