Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments. - Hao Zhen; Sahand Mosharafian; Jidong J. Yang; Javad Mohammadpour Velni (CoRR, 2022)

Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification. - Hao Zhen; Yucheng Shi; Jidong J. Yang; Javad Mohammadpour Vehni (CoRR, 2022)

Semi-supervised multiscale dual-encoding method for faulty traffic data detection. - Yongcan Huang; Jidong J. Yang (CoRR, 2022)

Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms. - Shihan Ma; Jidong J. Yang (CoRR, 2023)

Strategic Sensor Placement in Expansive Highway Networks: A Novel Framework for Maximizing Information Gain. - Yunxiang Yang; Jidong J. Yang (Syst., 2023)

Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis. - Oscar Lares; Hao Zhen; Jidong J. Yang (CoRR, 2024)

Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation. - Yunxiang Yang; Hao Zhen; Yongcan Huang; Jidong J. Yang (CoRR, 2024)

Enhancing autonomous vehicle safety in rain: a data-centric approach for clear vision. - Mark A. Seferian; Jidong J. Yang (CoRR, 2024)

Composite Deep Learning Architecture for Vehicle Classification Using Vision Transformers and Wheel Position Features. - Shihan Ma; Jidong J. Yang; Mi Geum Chorzepa; Clint Morris; S. Sonny Kim; Stephan A. Durham (SN Comput. Sci., 2024)

Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference. - Hao Zhen; Yucheng Shi; Yongcan Huang; Jidong J. Yang; Ninghao Liu (Comput., 2024)

Leveraging Scene Geometry and Depth Information for Robust Image Deraining. - Ningning Xu; Jidong J. Yang (Comput., 2025)

Cluster-guided denoising graph auto-encoder for enhanced traffic data imputation and fault detection. - Yongcan Huang; Hao Zhen; Jidong J. Yang (Expert Syst. Appl., 2025)

Tab-Text: Bridging tabular data and natural language for enhanced traffic safety analysis and modeling. - Hao Zhen; Jidong J. Yang (Expert Syst. Appl., 2025)

CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis. - Hao Zhen; Jidong J. Yang (CoRR, 2025)

Symmetric contrastive learning for robust fault detection in time-series traffic sensor data. - Yongcan Huang; Jidong J. Yang (Int. J. Data Sci. Anal., 2025)