Kai Zhao
Kai Zhao
Assistant Professor, Robinson College of Business, Georgia State University
Verified email at - Homepage
Cited by
Cited by
Predicting Taxi and Uber Demand in Cities: Approaching the Limits of Predictability
K Zhao, D Khryashchev, H Vo
IEEE Transactions on Knowledge and Data Engineering, 2021
Explaining the Power-law Distribution of Human Mobility Through Transportation Modality Decomposition
K Zhao, M Musolesi, P Hui, W Rao, S Tarkoma
Nature Scientific Reports, 2015
Urban Human Mobility Data Mining: An Overview
K Zhao, S Tarkoma, S Liu, H Vo
in IEEE BigData, IEEE International Conference on BigData, 2016
Urban Pulse: Capturing the Rhythms of cities
F Miranda, H Doraiswamy, M Lage, K Zhao, B Goncalves, L Wilson, ...
IEEE Transactions on Visualization and Computer Graphics, 2016
Hierarchical Prediction Based Two-level Gaussian Mixture Model Clustering for Bike-sharing System
W Jia, Y Tan, L Liu, J Li, H Zhang, K Zhao
Knowledge-Based Systems 178, 84-97, 2019
Towards maximizing timely content delivery in delay tolerant networks
K Zhao, W Rao, Y Zhang, P Hui, S Tarkoma
IEEE Transactions on Mobile Computing 14 (4), 755-769, 2015
Automatic City Region Analysis for Urban Routing
K Zhao, M Chinnasamy, S Tarkoma
IEEE ICDMW International Conference on Data Mining workshop, 2015
Exploring What not to Clean in Urban Data: A Study Using New York City Taxi Trips
J Freire, A Bessa, F Chirigati, H Vo, K Zhao
IEEE Data Engineering Bulletin, 63, 2016
Experimental Study of Multivariate Time Series Forecasting Models
J Ying, M Yuan, K Zhao, R Weixiong
CIKM 2019, The 28th ACM International Conference on Information and …, 2019
CoSense: a collaborative sensing platform for mobile devices
S Hemminki, K Zhao, AY Ding, M Rannanjärvi, S Tarkoma, P Nurmi
Sensys, Proceedings of the 11th ACM Conference on Embedded Networked Sensor …, 2013
Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability
K Zhao, C Zhang, M Chen
IEEE Transactions on Knowledge and Data Engineering, 2022
GeoMatch: Efficient Large-Scale Map Matching on Apache Spark
A Zeidan, E Lagerspetz, K Zhao, P Nurmi, S Tarkoma, HT Vo
ACM Transactions on Data Science, 2020
Energy-aware keyword search on mobile phones
W Rao, K Zhao, E Lagerspetz, P Hui, S Tarkoma
Sigcomm MCC, Proceedings of the first edition of the MCC workshop on Mobile …, 2012
Maximizing timely content advertising in DTNs
K Zhao, W Rao, Y Zhang, P Hui, S Tarkoma
IEEE SECON, IEEE conference on Sensing, Communications and Networking, 254-262, 2012
PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data
T Sun, K Zhao, C Zhang, M Chen, X Yu
Information Sciences 589, 34-45, 2021
Hyper-clustering enhanced spatio-temporal deep learning for traffic and demand prediction in bike-sharing systems
K Zhao, S Zhao, Y Xia, W Jia
Information Sciences, 2022
Urban Mobility and Networking
K Zhao
MobiSys PhD Forum 2015, 17-18, 2015
DeepLoc: Deep Neural Network-based Telco Localization
Y Zhang, Y Xiao, K Zhao, R Weixiong
Best paper award, MobiQuitous 2019, The 16th International Conference on …, 2019
Inferring Unmet Human Mobility Demand with Multi-Source Urban Data
K Zhao, X Zheng, H Vo
Big Spatial Data and Urban Computing, 2017
Dynamics of Online Review Text: What Changes and What Matters Over Time
K Zhao, Y Cheng, W Jabr
r&r, INFORMS Journal on Data Science, 2021
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