Haris Koutsopoulos — accepted AI-conference papers

2026

RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing

Yuhan Tang, Kangxin Cui, Jung Ho Park, Yibo Zhao, Xuan Jiang, Haoze He +3

ICML 2026poster

Ride-hailing platforms face the challenge of balancing passenger waiting times with overall system efficiency under highly uncertain supply–demand conditions. Adaptive delayed matching, which controls the holding intervals for batched sets of requests and vehicles, reveals an inherent trade-off betw…

Cited by 0 Source ↗Scholar ↗

2023

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis

Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang R. Zhang

NeurIPS 2023poster

We consider the problem of traffic accident analysis on a road network based on road network connections and traffic volume. Previous works have designed various deep-learning methods using historical records to predict traffic accident occurrences. However, there is a lack of consensus on how accur…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗