Yanyong Guo

Orcid: 0000-0003-0367-2673

According to our database1, Yanyong Guo authored at least 17 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2026
Knowledge-data fusion dominated vehicle platoon dynamics modeling and analysis: A physics-encoded deep learning approach.
Inf. Fusion, 2026

2025
Uncertainty-Aware Dynamics Modeling and Data-Driven Robust Predictive Control for Mixed Vehicle Platoon.
IEEE Internet Things J., June, 2025

IIAG-CoFlow: Inter- and Intra-Channel Attention Transformer and Complete Flow for Low-Light Image Enhancement With Application to Night Traffic Monitoring Images.
IEEE Trans. Intell. Transp. Syst., May, 2025

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems.
CoRR, May, 2025

JTE-CFlow for Low-Light Enhancement and Zero-Element Pixels Restoration With Application to Night Traffic Monitoring Images.
IEEE Trans. Intell. Transp. Syst., March, 2025

Analyzable Parameters Dominated Vehicle Platoon Dynamics Modeling and Analysis: A Physics-Encoded Deep Learning Approach.
CoRR, February, 2025

A scalable adaptive deep Koopman predictive controller for real-time optimization of mixed traffic flow.
CoRR, February, 2025

2024
FHSI and QRCPE-Based Low-Light Enhancement With Application to Night Traffic Monitoring Images.
IEEE Trans. Intell. Transp. Syst., July, 2024

YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion.
CoRR, 2024

KoopLCC: The Koopman Operator-Based Predictive Leading Cruise Control for Mixed Vehicle Platoons Considering the Driving Styles.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023
HSV-3S and 2D-GDA for High-Saturation Low-Light Image Enhancement in Night Traffic Monitoring.
IEEE Trans. Intell. Transp. Syst., December, 2023

2021
An extreme value theory based approach for calibration of microsimulation models for safety analysis.
Simul. Model. Pract. Theory, 2021

Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks Near Traffic Oscillations on Freeways.
IEEE Intell. Transp. Syst. Mag., 2021

2019
Analysis of Freeway Secondary Crashes With a Two-Step Method by Loop Detector Data.
IEEE Access, 2019

Procedure for Determining the Deployment Locations of Variable Speed Limit Signs to Reduce Crash Risks at Freeway Recurrent Bottlenecks.
IEEE Access, 2019

Exploring Risk Factors With Crashes by Collision Type at Freeway Diverge Areas: Accounting for Unobserved Heterogeneity.
IEEE Access, 2019

Do Simulated Traffic Conflicts Predict Crashes? An Investigation Using the Extreme Value Approach.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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