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Providing personalized system optimum traveler information in a congested traffic network with mixed users.

, , and . J. Intell. Transp. Syst., 20 (6): 500-515 (2016)

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A Metadata-Driven Approach to Understand Graph Neural Networks., , and . CoRR, (2023)V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception., , , , , and . CoRR, (2022)FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems., , , , and . IEEE Trans. Intell. Veh., 9 (1): 958-969 (January 2024)Restoration and enhancement on low exposure raw images by joint demosaicing and denoising., , , and . Neural Networks, (May 2023)SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks., , , and . J. Mach. Learn. Res., (2022)Model-Agnostic Multi-Agent Perception Framework., , , , , and . ICRA, page 1471-1478. IEEE, (2023)Off-policy Learning in Two-stage Recommender Systems., , , , , , , and . WWW, page 463-473. ACM / IW3C2, (2020)Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks., , , , , , and . NDSS, The Internet Society, (2022)Can LLMs Effectively Leverage Graph Structural Information: When and Why., , , and . CoRR, (2023)OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning., , , , , , , and . CoRR, (2024)