74 citations · 180 across the 7 of their papers we have counts for
7 papers
Building Transportation Foundation Model via Generative Graph Transformer
Xuhong Wang, Ding Wang, Liang Chen +1
Efficient traffic management is crucial for maintaining urban mobility, especially in densely populated areas where congestion, accidents, and delays can lead to frustrating and ex…
SWDPM: A Social Welfare-Optimized Data Pricing Mechanism
Yi Yu, Shengyue Yao, Juanjuan Li +2
Data trading has been hindered by privacy concerns associated with user-owned data and the infinite reproducibility of data, making it challenging for data owners to retain exclusi…
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
Yilun Lin, Chaochao Chen, Cen Chen +1
Federated learning (FL) has attracted increasing attention in recent years. As a privacy-preserving collaborative learning paradigm, it enables a broader range of applications, esp…
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization
Sicong Du, Hengkai Guo, Yao Chen +4
Initialization is essential to monocular Simultaneous Localization and Mapping (SLAM) problems. This paper focuses on a novel initialization method for monocular SLAM based on plan…
Not at Home on the Range: Peer Production and the Urban/Rural Divide
Isaac Johnson, Allen Yilun Lin, Toby Jia-Jun Li +4
Wikipedia articles about places, OpenStreetMap features, and other forms of peer-produced content have become critical sources of geographic knowledge for humans and intelligent te…
An Efficient Deep Reinforcement Learning Model for Urban Traffic Control
Yilun Lin, Xingyuan Dai, Li Li +1
Urban Traffic Control (UTC) plays an essential role in Intelligent Transportation System (ITS) but remains difficult. Since model-based UTC methods may not accurately describe the…
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction
Xingyuan Dai, Rui Fu, Yilun Lin +2
In this paper, we consider the temporal pattern in traffic flow time series, and implement a deep learning model for traffic flow prediction. Detrending based methods decompose ori…