Jidong J. Yang

According to our database, Jidong J. Yang authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

Automating Crash Diagram Generation Using Vision-Language Models: A Case Study on Multi-Lane Roundabouts.

Xiao Lu, Hao Zhen, Jidong J. Yang

CoRR, April, 2026

Cross-Paradigm Evaluation of Gaze-Based Semantic Object Identification for Intelligent Vehicles.

Penghao Deng, Jidong J. Yang, Jiachen Bian

CoRR, February, 2026

2025

Multi-view Phase-aware Pedestrian-Vehicle Incident Reasoning Framework with Vision-Language Models.

Hao Zhen, Yunxiang Yang, Jidong J. Yang

CoRR, November, 2025

VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns.

Lin Pang, Jidong J. Yang

CoRR, October, 2025

Symmetric contrastive learning for robust fault detection in time-series traffic sensor data.

Yongcan Huang, Jidong J. Yang

Int. J. Data Sci. Anal., August, 2025

Multi-Agent Visual-Language Reasoning for Comprehensive Highway Scene Understanding.

Yunxiang Yang, Ningning Xu, Jidong J. Yang

CoRR, August, 2025

Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference.

Yunxiang Yang, Ningning Xu, Jidong J. Yang

CoRR, August, 2025

CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis.

Hao Zhen, Jidong J. Yang

CoRR, May, 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

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

Structured Prompting and Collaborative Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference.

Yunxiang Yang, Ningning Xu, Jidong J. Yang

Comput., 2025

Leveraging Scene Geometry and Depth Information for Robust Image Deraining.

Ningning Xu, Jidong J. Yang

Comput., 2025

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., September, 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

An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks.

Yunxiang Yang, Hao Zhen, Jidong J. Yang

Inf., 2024

Enhancing autonomous vehicle safety in rain: a data-centric approach for clear vision.

Mark A. Seferian, 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

Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis.

Oscar Lares, Hao Zhen, Jidong J. Yang

CoRR, 2024

2023

Strategic Sensor Placement in Expansive Highway Networks: A Novel Framework for Maximizing Information Gain.

Yunxiang Yang, Jidong J. Yang

Syst., December, 2023

Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms.

Shihan Ma, Jidong J. Yang

CoRR, 2023

2022

Semi-supervised multiscale dual-encoding method for faulty traffic data detection.

Yongcan Huang, Jidong J. Yang

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

Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments.

Hao Zhen, Sahand Mosharafian, Jidong J. Yang, Javad Mohammadpour Velni

CoRR, 2022