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20102021
most citedPredicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

442 citations · 579 across the 20 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

eess.SP2018★ 1 cited

Capture and Recovery of Connected Vehicle Data: A Compressive Sensing Approach

Lei Lin, Weizi Li, Srinivas Peeta

Connected vehicles (CVs) can capture and transmit detailed data through vehicle-to-vehicle and vehicle-to-infrastructure communications, which bring new opportunities to improve th…

cs.IR2018★ 29 cited

Music Sequence Prediction with Mixture Hidden Markov Models

Tao Li, Minsoo Choi, Kaiming Fu +1

Recommendation systems that automatically generate personalized music playlists for users have attracted tremendous attention in recent years. Nowadays, most music recommendation s…

eess.SY2018★ 2 cited

Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis

Lin Liu, Chunyuan Li, Yongfu Li +2

Vehicle-to-vehicle communications can change the driving behavior of drivers significantly by providing them rich information on downstream traffic flow conditions. This study seek…

cs.CL2018★ 35 cited

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

Tao Li, Lei Lin, Minsoo Choi +3

With one billion monthly viewers, and millions of users discussing and sharing opinions, comments below YouTube videos are rich sources of data for opinion mining and sentiment ana…

physics.soc-ph2018★ 2 cited

A Comprehensive Framework for Dynamic Bike Rebalancing in a Large Bike Sharing Network

Lei Lin

Bike sharing is a vital component of a modern multi-modal transportation system. However, its implementation can lead to bike supply-demand imbalance due to fluctuating spatial and…

stat.AP2018★ 1 cited

Efficient Collection of Connected Vehicle Data based on Compressive Sensing

Lei Lin

Connected vehicles (CVs) can capture and transmit detailed data like vehicle position, speed and so on through vehicle-to-vehicle and vehicle-to-infrastructure communications. The…