Overcoming Challenges of Validation Automated Driving and Identification of Critical Scenarios. - Cheng Wang 023; Hermann Winner (ITSC, 2019)

Reduction of Uncertainties for Safety Assessment of Automated Driving Under Parallel Simulations. - Cheng Wang 023; Fanglei Xiong; Hermann Winner (IEEE Trans. Intell. Veh., 2021)

Acceleration-Based Collision Criticality Metric for Holistic Online Safety Assessment in Automated Driving. - Cheng Wang 023; Christoph Popp; Hermann Winner (IEEE Access, 2022)

Deep reinforcement learning for multi-agent interaction. - Ibrahim H. Ahmed 006; Cillian Brewitt; Ignacio Carlucho; Filippos Christianos; Mhairi Dunion; Elliot Fosong; Samuel Garcin; Shangmin Guo; Balint Gyevnar; Trevor McInroe; Georgios Papoudakis; Arrasy Rahman; et al. (AI Commun., 2022)

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. - Balint Gyevnar; Massimiliano Tamborski; Cheng Wang 023; Christopher G. Lucas; Shay B. Cohen; Stefano V. Albrecht (CoRR, 2022)

Online Safety Assessment of Automated Vehicles Using Silent Testing. - Cheng Wang 023; Kai Storms; Hermann Winner (IEEE Trans. Intell. Transp. Syst., 2022)

Verifiable Goal Recognition for Autonomous Driving with Occlusions. - Cillian Brewitt; Massimiliano Tamborski; Cheng Wang 023; Stefano V. Albrecht (IROS, 2023)

Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. - Balint Gyevnar; Cheng Wang 023; Christopher G. Lucas; Shay B. Cohen; Stefano V. Albrecht (CoRR, 2023)

The AD4CHE Dataset and Its Application in Typical Congestion Scenarios of Traffic Jam Pilot Systems. - Yuxin Zhang; Cheng Wang 023; Ruilin Yu; Luyao Wang; Wei Quan; Yang Gao; Pengfei Li (IEEE Trans. Intell. Veh., 2023)

Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. - Balint Gyevnar; Cheng Wang 023; Christopher G. Lucas; Shay B. Cohen; Stefano V. Albrecht (AAMAS, 2024)

Requirements Decomposition for Perception Systems of Autonomous Vehicles: A Case Study of Multi-Object Tracking. - Ruilin Yu; Cheng Wang 023; Zhouhang Lv; Yuxin Zhang (ITSC, 2024)

The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: Perspectives, Insights, Prospects. - Cheng Wang 023; Fengwei Guo; Ruilin Yu; Luyao Wang; Yuxin Zhang (IEEE Trans. Intell. Veh., 2024)

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review. - Anton Kuznietsov; Balint Gyevnar; Cheng Wang 023; Steven Peters; Stefano V. Albrecht (IEEE Trans. Intell. Transp. Syst., 2024)

FedPRM: Federated Personalized Mixture Representation for Driver Intention Prediction. - Zhongpan Zhu; Shuaijie Zhao; Chuanchuan Chu; Cheng Wang 023; Aimin Du; Bin He 003 (IEEE Trans. Intell. Veh., 2025)

HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation. - Cheng Wang 023; Lingxin Kong; Massimiliano Tamborski; Stefano V. Albrecht (CoRR, 2025)

Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles. - Ruilin Yu; Cheng Wang 023; Yuxin Zhang; Fuming Zhao (IEEE Trans. Intell. Transp. Syst., 2025)