Yiming Shu

Orcid: 0009-0004-4695-8852

According to our database1, Yiming Shu authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DRIFT: Driving Risk Inference via Field Transmission for Human-like Autonomous Driving.
CoRR, May, 2026

TraceMem: Weaving Narrative Memory Schemata from User Conversational Traces.
CoRR, February, 2026

2025
LA-RL: Language Action-guided Reinforcement Learning with Safety Guarantees for Autonomous Highway Driving.
CoRR, December, 2025

Scenario-aware Uncertainty Quantification for Trajectory Prediction with Statistical Guarantees.
CoRR, December, 2025

Agile Decision-Making and Safety-Critical Motion Planning for Emergency Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., September, 2025

A Boundary-Enhanced Decouple Fusion Segmentation Network for Diagnosis of Adenomatous Polyps.
J. Imaging Inform. Medicine, 2025

Learning Occlusion-aware Decision-making from Agent Interaction via Active Perception.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

A Third-Party Risk-Aware Decision-Making Method for UAVs in Dynamic Traffic Environments.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Flexible Fault-Tolerant Prescribed Control for Connected Automated Vehicles.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024
An effective link prediction method for industrial knowledge graphs by incorporating entity description and neighborhood structure information.
J. Supercomput., April, 2024

2023
Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2020
Real-Time Detection and Motion Recognition of Human Moving Objects Based on Deep Learning and Multi-Scale Feature Fusion in Video.
IEEE Access, 2020


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