Shanglian Zhou

According to our database, Shanglian Zhou authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Optimized Long Short-Term Memory Network for LiDAR-Based Vehicle Trajectory Prediction Through Bayesian Optimization.

Shanglian Zhou, Igor Lashkov, Hao Xu, Guohui Zhang, Yin Yang

IEEE Trans. Intell. Transp. Syst., March, 2025

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, Guohui Zhang, Yin Yang

Expert Syst. Appl., 2025

2024

Deep learning-based pedestrian trajectory prediction and risk assessment at signalized intersections using trajectory data captured through roadside LiDAR.

Shanglian Zhou, Hao Xu, Guohui Zhang, Tianwei Ma, Yin Yang

J. Intell. Transp. Syst., November, 2024

DCOR: Dynamic Channel-Wise Outlier Removal to De-Noise LiDAR Data Corrupted by Snow.

Shanglian Zhou, Hao Xu, Guohui Zhang, Tianwei Ma, Yin Yang

IEEE Trans. Intell. Transp. Syst., July, 2024

Hyperparameter Optimization and Importance Ranking in Deep Learning-Based Crack Segmentation.

Carlos Canchila, Shanglian Zhou, Wei Song

J. Comput. Civ. Eng., March, 2024

2022

Fused Image dataset for convolutional neural Network-based crack Detection (FIND).

Shanglian Zhou, Carlos Canchila, Wei Song

Dataset, March, 2022

Leveraging Deep Convolutional Neural Networks Pre-Trained on Autonomous Driving Data for Vehicle Detection From Roadside LiDAR Data.

Shanglian Zhou, Hao Xu, Guohui Zhang, Tianwei Ma, Yin Yang

IEEE Trans. Intell. Transp. Syst., 2022

2020

Robust Image-Based Surface Crack Detection Using Range Data.

Shanglian Zhou, Wei Song

J. Comput. Civ. Eng., 2020