Yongkang Li
Orcid: 0009-0006-9936-7786Affiliations:
- University of Macau, Department of Computer and Information Science, Taipa, Macao
- University of Electronic Science and Technology of China, Department of Information and Software Engineering, Chengdu, China
According to our database1,
Yongkang Li
authored at least 12 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Veh., April, 2024
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling.
CoRR, 2024
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.
CoRR, 2024
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
CoRR, 2024
Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
CoRR, 2024
When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
IEEE Trans. Serv. Comput., 2023
2021
Proceedings of the Cloud Computing - CLOUD 2021, 2021