Publications
Also on Google Scholar.
Journal Articles
- TR-C 2026Large Language Models for Enhancing Human-Machine Interaction in Autonomous Vehicles: A Comprehensive Survey Transportation Research Part C: Emerging Technologies, 2026 · Paper · Code Surveys LLM applications in automotive human–machine interaction and organizes them into a MODEL–REASON–ACT framework: human understanding, context-aware reasoning and explanation, and adaptive interaction.
- CTR 2025MetaSSC: Enhancing 3D semantic scene completion for autonomous driving through meta-learning and long-sequence modeling Communications in Transportation Research, 2025 · Paper A meta-learning framework for 3D semantic scene completion that pretrains on cooperative-perception data and combines deformable convolution, large-kernel attention, and Mamba blocks.
- IEEE ITS Mag. 2025Personalizing Driver Agent Using Large Language Models for Driving Safety and Smarter Human–Machine Interactions IEEE Intelligent Transportation Systems Magazine, 2025 · Paper An LLM-based driver agent with memory, perception, control, and action modules that tailors warning content and modality (visual, voice, tactile) to driver characteristics and traffic context.
- TBS 2025Where is morality on wheels? Decoding large language model (LLM)-driven decision in the ethical dilemmas of autonomous vehicles Travel Behaviour and Society, 2025 · Paper Outstanding Student Paper Award at the 28th HKSTS International Conference. Evaluates how GPT-4-series and Mistral-Large models resolve autonomous-vehicle ethical dilemmas, using a stated-preference design with 13,122 scenarios analyzed with binary logit models and decision trees.
Conference Proceedings
- ITSC 2025LLM-TripPlanner: A Large-Language-Model-Based Agent for Personalized Trip Planning IEEE International Conference on Intelligent Transportation Systems (ITSC), 2025 · Paper An LLM agent that combines retrieval-augmented generation, real-time traffic data, and a city-scale street-view route database for end-to-end personalized trip planning.
- ITSC 2024A LLM-based Multimodal Warning System for Driver Assistance IEEE International Conference on Intelligent Transportation Systems (ITSC), 2024 · Paper A multimodal warning system that interprets the traffic environment and driver profiles to plan and deliver personalized warnings.
