Junfeng Jiao

Orcid: 0000-0002-7272-8805

According to our database1, Junfeng Jiao authored at least 35 papers between 2020 and 2025.

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Bibliography

2025
HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways.
CoRR, July, 2025

TGLD: A Trust-Aware Game-Theoretic Lane-Changing Decision Framework for Automated Vehicles in Heterogeneous Traffic.
CoRR, July, 2025

BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios.
CoRR, June, 2025

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions.
CoRR, June, 2025

Investigating Robotaxi Crash Severity Using Geographical Random Forest.
CoRR, May, 2025

SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance.
CoRR, May, 2025

LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models.
CoRR, May, 2025

GAIR: Improving Multimodal Geo-Foundation Model with Geo-Aligned Implicit Representations.
CoRR, March, 2025

A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models.
CoRR, March, 2025

Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation.
CoRR, February, 2025

Mapping out AI Functions in Intelligent Disaster (Mis)Management and AI-Caused Disasters.
CoRR, February, 2025

LLMs and Childhood Safety: Identifying Risks and Proposing a Protection Framework for Safe Child-LLM Interaction.
CoRR, February, 2025

AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models.
CoRR, January, 2025

IGGA: A Dataset of Industrial Guidelines and Policy Statements for Generative AIs.
CoRR, January, 2025

Generative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors.
CoRR, January, 2025

Towards the next generation of Geospatial Artificial Intelligence.
Int. J. Appl. Earth Obs. Geoinformation, 2025

RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Uncovering electric vehicle ownership disparities using K-means clustering analysis: A case study of Austin, Texas.
J. Comput. Soc. Sci., December, 2024

AI-FEED: Prototyping an AI-Powered Platform for the Food Charity Ecosystem.
Int. J. Comput. Intell. Syst., December, 2024

Fire and smoke digital twin - A computational framework for modeling fire incident outcomes.
Comput. Environ. Urban Syst., 2024

The global landscape of academic guidelines for generative AI and Large Language Models.
CoRR, 2024

Navigating LLM Ethics: Advancements, Challenges, and Future Directions.
CoRR, 2024

Testing the Capability of AI Art Tools for Urban Design.
IEEE Computer Graphics and Applications, 2024

Operational Cost Optimization of Delivery Fleets Consisting of Mobile Robots and Electric Trucks.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Is the relationship between bus and light rail transit a competition substitution or a congestion substitution? An empirical study in Seattle.
Public Transp., June, 2023

ComputeGPT: A computational chat model for numerical problems.
CoRR, 2023

Learning Contact-based Navigation in Crowds.
CoRR, 2023

"What's That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

2022
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA.
CoRR, 2022

Longitudinal Social Impacts of HRI over Long-Term Deployments.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021
Predicting and mapping neighborhood-scale health outcomes: A machine learning approach.
Comput. Environ. Urban Syst., 2021

Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Using Open Source Data to Identify Transit Deserts in Four Major Chinese Cities.
ISPRS Int. J. Geo Inf., 2020

Understanding the Shared E-scooter Travels in Austin, TX.
ISPRS Int. J. Geo Inf., 2020

Rental Housing Spot Markets: How Online Information Exchanges Can Supplement Transacted-Rents Data.
CoRR, 2020


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