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Kai Zhao
Kai Zhao
Assistant Professor, AI and Machine Learning, Georgia State University
Verified email at gsu.edu - Homepage
Title
Cited by
Cited by
Year
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
200*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
1812015
Urban Human Mobility Data Mining: An Overview
K Zhao, S Tarkoma, S Liu, H Vo
in IEEE BigData, 2016
1402016
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
1172016
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
712019
DeepLoc: Deep Neural Network-based Telco Localization
Y Zhang, Y Xiao, K Zhao, R Weixiong
MobiQuitous, Best Paper, 2019
46*2019
Towards maximizing timely content delivery in delay tolerant networks
W Rao, K Zhao, Y Zhang, P Hui, S Tarkoma
IEEE Transactions on Mobile Computing 14 (4), 755-769, 2015
332015
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, 2023
302023
Experimental Study of Multivariate Time Series Forecasting Models
J Ying, M Yuan, K Zhao, R Weixiong
CIKM 2019, 2019
292019
Automatic City Region Analysis for Urban Routing
K Zhao, M Chinnasamy, S Tarkoma
IEEE ICDMW International Conference on Data Mining workshop, 2015
262015
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
232022
Efficient implementation of beam-search incremental parsers
Y Goldberg, K Zhao, L Huang
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
232013
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
212016
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
182013
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
102020
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
82021
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
82012
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
62012
Urban Region Embedding via Multi-View Contrastive Prediction
Z Li, W Huang, K Zhao, M Yang, Y Gong, M Chen
AAAI, 2024
52024
Toward an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information
D Zhang, X Ronghui, W Huang, K Zhao, M Chen
IJCAI, 2023
52023
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