activity
20202022
most citedPCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction

207 citations · 490 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

cs.LG2020

Efficient Construction of Nonlinear Models over Normalized Data

Zhaoyue Chen, Nick Koudas, Zhe Zhang +1

Machine Learning (ML) applications are proliferating in the enterprise. Relational data which are prevalent in enterprise applications are typically normalized; as a result, data h…

cs.DB2020★ 4 cited

Distributed Processing of k Shortest Path Queries over Dynamic Road Networks

Ziqiang Yu, Xiaohui Yu, Nick Koudas +4

The problem of identifying the k-shortest paths (KSPs for short) in a dynamic road network is essential to many location-based services. Road networks are dynamic in the sense that…

cs.DB2020★ 7 cited

Top-k queries over digital traces

Yifan Li, Xiaohui Yu, Nick Koudas

Recent advances in social and mobile technology have enabled an abundance of digital traces (in the form of mobile check-ins, association of mobile devices to specific WiFi hotspot…

cs.LG2020★ 24 cited

MPE: A Mobility Pattern Embedding Model for Predicting Next Locations

Meng Chen, Xiaohui Yu, Yang Liu

The wide spread use of positioning and photographing devices gives rise to a deluge of traffic trajectory data (e.g., vehicle passage records and taxi trajectory data), with each r…

cs.AI2020★ 4 cited

TTDM: A Travel Time Difference Model for Next Location Prediction

Qingjie Liu, Yixuan Zuo, Xiaohui Yu +1

Next location prediction is of great importance for many location-based applications and provides essential intelligence to business and governments. In existing studies, a common…

cs.SI2020★ 8 cited

TraLFM: Latent Factor Modeling of Traffic Trajectory Data

Meng Chen, Xiaohui Yu, Yang Liu

The widespread use of positioning devices (e.g., GPS) has given rise to a vast body of human movement data, often in the form of trajectories. Understanding human mobility patterns…