3 citations · 4 across the 6 of their papers we have counts for
6 papers
Multi-Agent Reinforcement Learning for Dynamic Mobility Resource Allocation with Hierarchical Adaptive Grouping
Farshid Nooshi, Suining He
Allocating mobility resources (e.g., shared bikes/e-scooters, ride-sharing vehicles) is crucial for rebalancing the mobility demand and supply in the urban environments. We propose…
Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation
Julia Ann Mathew, Suining He
The increasing popularity of outdoor recreational activities (such as hiking and biking) has boosted the demand for a conversational AI system to provide informative and personaliz…
Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
Xi Yang, Jiachen Wang, Song Han +1
Efficient use of urban micromobility resources such as bike sharing is challenging due to the unbalanced station-level demand and supply, which causes the maintenance of the bike s…
Interpretable Fake News Detection with Topic and Deep Variational Models
Marjan Hosseini, Alireza Javadian Sabet, Suining He +1
The growing societal dependence on social media and user generated content for news and information has increased the influence of unreliable sources and fake content, which muddle…
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction
Mahan Tabatabaie, James Maniscalco, Connor Lynch +1
In this paper, we have proposed STC-GEF, a novel Spatio-Temporal Cross-platform Graph Embedding Fusion approach for the urban traffic flow prediction. We have designed a spatial em…
Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration
Xi Yang, Suining He
Bike sharing has become one of the major choices of transportation for residents in metropolitan cities worldwide. A station-based bike sharing system is usually operated in the wa…