Deep Learning Method for Sleep Stage Classification. - Ling Cen; Zhu Liang Yu; Yun Tang 003; Wen Shi; Tilmann Kluge; Wee Ser (ICONIP (2), 2017)

CANeleon: Protecting CAN Bus With Frame ID Chameleon. - Kun Cheng; Yuebin Bai; Yuan Zhou 005; Yun Tang 003; David Sanán; Yang Liu 003 (IEEE Trans. Veh. Technol., 2020)

Route Coverage Testing for Autonomous Vehicles via Map Modeling. - Yun Tang 003; Yuan Zhou 005; Fenghua Wu; Yang Liu 003; Jun Sun 001; Wuling Huang; Gang Wang (ICRA, 2021)

Collision Avoidance Testing for Autonomous Driving Systems on Complete Maps. - Yun Tang 003; Yuan Zhou 005; Yang Liu 003; Jun Sun 001; Gang Wang (IV, 2021)

Systematic Testing of Autonomous Driving Systems Using Map Topology-Based Scenario Classification. - Yun Tang 003; Yuan Zhou 005; Tianwei Zhang 004; Fenghua Wu; Yang Liu 003; Gang Wang (ASE, 2021)

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation. - Ziyuan Zhong; Yun Tang 003; Yuan Zhou 005; Vânia de Oliveira Neves; Yang Liu 003; Baishakhi Ray (CoRR, 2021)

Automatic Map Generation for Autonomous Driving System Testing. - Yun Tang 003; Yuan Zhou 005; Kairui Yang; Ziyuan Zhong; Baishakhi Ray; Yang Liu 003; Ping Zhang; Junbo Chen (CoRR, 2022)

A map-based model-driven testing framework for automated driving systems - Yun Tang 003 (2022)

FLYOVER: A Model-Driven Method to Generate Diverse Highway Interchanges for Autonomous Vehicle Testing. - Yuan Zhou 005; Gengjie Lin; Yun Tang 003; Kairui Yang; Wei Jing; Ping Zhang; Junbo Chen; Liang Gong; Yang Liu 003 (ICRA, 2023)

Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain. - Yun Tang 003; Antonio Anastasio Bruto da Costa; Xizhe Zhang; Patrick Irvine; Siddartha Khastgir; Paul A. Jennings (ITSC, 2023)

A Novel Scenario-Based Testing Approach for Cooperative-Automated Driving Systems. - Xizhe Zhang; Yuen Kwan Mo; Emil Chodowiec; Yun Tang 003; Matthew D. Higgins; Siddartha Khastgir; Paul A. Jennings (SMC, 2023)

Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain. - Yun Tang 003; Antonio Anastasio Bruto da Costa; Jason Zhang; Patrick Irvine; Siddartha Khastgir; Paul A. Jennings (CoRR, 2023)

Specification-Based Autonomous Driving System Testing. - Yuan Zhou 005; Yang Sun 008; Yun Tang 003; Yuqi Chen 001; Jun Sun 001; Christopher M. Poskitt; Yang Liu 003; Zijiang Yang 006 (IEEE Trans. Software Eng., 2023)

ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models Against Stochastic Perturbation. - Yi Zhang 141; Yun Tang 003; Wenjie Ruan; Xiaowei Huang 001; Siddartha Khastgir; Paul A. Jennings; Xingyu Zhao 001 (ECCV (32), 2024)

ODD-based Query-time Scenario Mutation Framework for Autonomous Driving Scenario databases. - Yun Tang 003; Dhanush Raj; Xingyu Zhao 001; Xizhe Zhang; Antonio Anastasio Bruto da Costa; Siddartha Khastgir; Paul A. Jennings (ICRA, 2024)

Augmenting Scenario Description Languages for Intelligence Testing of Automated Driving Systems. - Yun Tang 003; Antonio Anastasio Bruto da Costa; Patrick Irvine; Tudor Dodoiu; Yi Zhang 141; Xingyu Zhao 001; Siddartha Khastgir; Paul A. Jennings (IV, 2024)

Encoding Social & Ethical Values in Autonomous Navigation: Philosophies Behind an Interactive Online Demonstration. - Yun Tang 003; Luke Moffat; Weisi Guo; Corinne May-Chahal; Joe Deville; Antonios Tsourdos (TAS, 2024)

VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation. - Xingyuan Dai; Chao Guo 006; Yun Tang 003; Haichuan Li; Yutong Wang 001; Jun Huang; Yonglin Tian; Xin Xia 007; Yisheng Lv; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders. - Miguel Arana-Catania; Amir Sonee; Abdul-Manan Khan; Kavan Fatehi; Yun Tang 003; Bailu Jin; Anna Soligo; David Boyle 001; Radu Calinescu; Poonam Yadav; Hamed Ahmadi; Antonios Tsourdos; et al. (IEEE Open J. Commun. Soc., 2025)

End-to-End Edge AI Service Provisioning Framework in 6G ORAN. - Yun Tang 003; Udhaya Chandhar Srinivasan; Benjamin James Scott; Obumneme Umealor; Dennis Kevogo; Weisi Guo (CoRR, 2025)

RAG-based User Profiling for Precision Planning in Mixed-precision Over-the-Air Federated Learning. - Jinsheng Yuan; Yun Tang 003; Weisi Guo (CoRR, 2025)

Automatic Retrieval-Augmented Generation of 6G Network Specifications for Use Cases. - Yun Tang 003; Weisi Guo (IEEE Commun. Mag., 2025)

Contextualized Autonomous Drone Navigation using LLMs Deployed in Edge-Cloud Computing. - Hongqian Chen; Yun Tang 003; Antonios Tsourdos; Weisi Guo (CoRR, 2025)

Data-driven Method to Ensure Cascade Stability of Traffic Load Balancing in O-RAN Based Networks. - Mengbang Zou; Yun Tang 003; Weisi Guo (CoRR, 2025)

Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN. - Yun Tang 003; Mengbang Zou; Udhaya Chandhar Srinivasan; Obumneme Umealor; Dennis Kevogo; Benjamin James Scott; Weisi Guo (CoRR, 2025)

KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence. - Yun Tang 003; Mengbang Zou; Zeinab Nezami; Syed Ali Raza Zaidi; Weisi Guo (CoRR, 2025)

Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics. - Mengbang Zou; Yun Tang 003; Adolfo Perrusquía; Weisi Guo (CoRR, 2025)