Yun Tang

According to our database, Yun Tang authored at least 27 papers between 2017 and 2025.

Collaborative distances:

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

2025

Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics.

Mengbang Zou, Yun Tang, Adolfo Perrusquía, Weisi Guo

CoRR, July, 2025

KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence.

Yun Tang, Mengbang Zou, Zeinab Nezami, Syed Ali Raza Zaidi, Weisi Guo

CoRR, July, 2025

Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN.

Yun Tang, Mengbang Zou, Udhaya Chandhar Srinivasan, Obumneme Umealor, Dennis Kevogo, Benjamin James Scott, Weisi Guo

CoRR, April, 2025

Data-driven Method to Ensure Cascade Stability of Traffic Load Balancing in O-RAN Based Networks.

Mengbang Zou, Yun Tang, Weisi Guo

CoRR, April, 2025

Contextualized Autonomous Drone Navigation using LLMs Deployed in Edge-Cloud Computing.

Hongqian Chen, Yun Tang, Antonios Tsourdos, Weisi Guo

CoRR, April, 2025

Automatic Retrieval-Augmented Generation of 6G Network Specifications for Use Cases.

Yun Tang, Weisi Guo

IEEE Commun. Mag., April, 2025

RAG-based User Profiling for Precision Planning in Mixed-precision Over-the-Air Federated Learning.

Jinsheng Yuan, Yun Tang, Weisi Guo

CoRR, March, 2025

End-to-End Edge AI Service Provisioning Framework in 6G ORAN.

Yun Tang, Udhaya Chandhar Srinivasan, Benjamin James Scott, Obumneme Umealor, Dennis Kevogo, Weisi Guo

CoRR, March, 2025

Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders.

Miguel Arana-Catania, Amir Sonee, Abdul-Manan Khan, Kavan Fatehi, Yun Tang, Bailu Jin, Anna Soligo, David Boyle, Radu Calinescu, Poonam Yadav, Hamed Ahmadi, Antonios Tsourdos, Weisi Guo, Alessandra Russo

IEEE Open J. Commun. Soc., 2025

2024

VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation.

Xingyuan Dai, Chao Guo, Yun Tang, Haichuan Li, Yutong Wang, Jun Huang, Yonglin Tian, Xin Xia, Yisheng Lv, Fei-Yue Wang

IEEE Trans. Intell. Veh., April, 2024

Encoding Social & Ethical Values in Autonomous Navigation: Philosophies Behind an Interactive Online Demonstration.

Yun Tang, Luke Moffat, Weisi Guo, Corinne May-Chahal, Joe Deville, Antonios Tsourdos

Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

Augmenting Scenario Description Languages for Intelligence Testing of Automated Driving Systems.

Yun Tang, Antonio Anastasio Bruto da Costa, Patrick Irvine, Tudor Dodoiu, Yi Zhang, Xingyu Zhao, Siddartha Khastgir, Paul A. Jennings

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

ODD-based Query-time Scenario Mutation Framework for Autonomous Driving Scenario databases.

Yun Tang, Dhanush Raj, Xingyu Zhao, Xizhe Zhang, Antonio Anastasio Bruto da Costa, Siddartha Khastgir, Paul A. Jennings

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models Against Stochastic Perturbation.

Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A. Jennings, Xingyu Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Specification-Based Autonomous Driving System Testing.

Yuan Zhou, Yang Sun, Yun Tang, Yuqi Chen, Jun Sun, Christopher M. Poskitt, Yang Liu, Zijiang Yang

IEEE Trans. Software Eng., June, 2023

Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain.

Yun Tang, Antonio Anastasio Bruto da Costa, Jason Zhang, Patrick Irvine, Siddartha Khastgir, Paul A. Jennings

CoRR, 2023

A Novel Scenario-Based Testing Approach for Cooperative-Automated Driving Systems.

Xizhe Zhang, Yuen Kwan Mo, Emil Chodowiec, Yun Tang, Matthew D. Higgins, Siddartha Khastgir, Paul A. Jennings

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain.

Yun Tang, Antonio Anastasio Bruto da Costa, Xizhe Zhang, Patrick Irvine, Siddartha Khastgir, Paul A. Jennings

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

FLYOVER: A Model-Driven Method to Generate Diverse Highway Interchanges for Autonomous Vehicle Testing.

Yuan Zhou, Gengjie Lin, Yun Tang, Kairui Yang, Wei Jing, Ping Zhang, Junbo Chen, Liang Gong, Yang Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

A map-based model-driven testing framework for automated driving systems

Yun Tang

PhD thesis, 2022

Automatic Map Generation for Autonomous Driving System Testing.

Yun Tang, Yuan Zhou, Kairui Yang, Ziyuan Zhong, Baishakhi Ray, Yang Liu, Ping Zhang, Junbo Chen

CoRR, 2022

2021

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation.

Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray

CoRR, 2021

Systematic Testing of Autonomous Driving Systems Using Map Topology-Based Scenario Classification.

Yun Tang, Yuan Zhou, Tianwei Zhang, Fenghua Wu, Yang Liu, Gang Wang

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Collision Avoidance Testing for Autonomous Driving Systems on Complete Maps.

Yun Tang, Yuan Zhou, Yang Liu, Jun Sun, Gang Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Route Coverage Testing for Autonomous Vehicles via Map Modeling.

Yun Tang, Yuan Zhou, Fenghua Wu, Yang Liu, Jun Sun, Wuling Huang, Gang Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

CANeleon: Protecting CAN Bus With Frame ID Chameleon.

Kun Cheng, Yuebin Bai, Yuan Zhou, Yun Tang, David Sanán, Yang Liu

IEEE Trans. Veh. Technol., 2020

2017

Deep Learning Method for Sleep Stage Classification.

Ling Cen, Zhu Liang Yu, Yun Tang, Wen Shi, Tilmann Kluge, Wee Ser

Proceedings of the Neural Information Processing - 24th International Conference, 2017