6 papers
MobiWave: Dispatch-Oriented Graph Wavelets and Drift-Guided Selective Optimization for Autonomous Fleet Rebalancing
Xiao Han, Pinbo Wang, Yuanshao Zhu +2
Autonomous fleets enable mobility platforms to coordinate idle vehicles directly, making fleet-wide rebalancing possible. However, two obstacles limit reliable deployment: overlapp…
MoE Enhanced Federated Learning for Spatiotemporal Prediction
Zhehao Dai, Xiao Han, Zhaolin Deng +4
Traffic prediction is fundamental to intelligent transportation systems and urban computing, yet many cities continue to suffer from traffic data scarcity due to limited sensor dep…
VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation
Linan ZHU, Zihao Zhai, Xiao Han +4
Emotion Recognition in Conversation (ERC) is essential for effective human-machine interaction, aiming to identify speakers' emotional states in multi-turn dialogues. Early text-ba…
Multimodal Trajectory Representation Learning for Travel Time Estimation
Zhi Liu, Xuyuan Hu, Xiao Han +4
Accurate travel time estimation (TTE) plays a crucial role in intelligent transportation systems. However, it remains challenging due to heterogeneous data sources and complex traf…
A Dataset for Spatiotemporal-Sensitive POI Question Answering
Xiao Han, Dayan Pan, Xiangyu Zhao +4
Spatiotemporal relationships are critical in data science, as many prediction and reasoning tasks require analysis across both spatial and temporal dimensions--for instance, naviga…
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
Xiao Han, Zijian Zhang, Xiangyu Zhao +6
As urban residents demand higher travel quality, vehicle dispatch has become a critical component of online ride-hailing services. However, current vehicle dispatch systems struggl…