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08/10/2023
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning
Precise identification of multiple cell classes in high-resolution Giga-...
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11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
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01/30/2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
An efficient and reliable multi-agent decision-making system is highly d...
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07/02/2021
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
Autonomous vehicles have a great potential in the application of both ci...
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02/15/2021
Uncovering Interpretable Internal States of Merging Tasks at Highway On-Ramps for Autonomous Driving Decision-Making
Humans make daily-routine decisions based on their internal states in in...
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08/14/2020
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic
Merging at highway on-ramps while interacting with other human-driven ve...
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08/05/2018