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 | 196* | 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 | 179 | 2015 |
Urban Human Mobility Data Mining: An Overview K Zhao, S Tarkoma, S Liu, H Vo in IEEE BigData, 2016 | 137 | 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 | 115 | 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 | 69 | 2019 |
DeepLoc: Deep Neural Network-based Telco Localization Y Zhang, Y Xiao, K Zhao, R Weixiong MobiQuitous, Best Paper, 2019 | 47* | 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 | 33 | 2015 |
Experimental Study of Multivariate Time Series Forecasting Models J Ying, M Yuan, K Zhao, R Weixiong CIKM 2019, 2019 | 29 | 2019 |
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 | 26 | 2023 |
Automatic City Region Analysis for Urban Routing K Zhao, M Chinnasamy, S Tarkoma IEEE ICDMW International Conference on Data Mining workshop, 2015 | 25 | 2015 |
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 | 23 | 2013 |
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 | 22 | 2022 |
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 | 21 | 2016 |
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 | 20* | 2012 |
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 | 17 | 2013 |
Trajectory tracking control for four‐mecanum‐wheel mobile vehicle: A variable gain active disturbance rejection control approach S Li, J Zhang, K Zhao, Y Zhang, Z Sun, Y Xia International Journal of Robust and Nonlinear Control 32 (4), 1990-2006, 2020 | 12 | 2020 |
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 | 10 | 2020 |
Proximate control stream assisted video transcoding for heterogeneous content delivery network X Zhang, Y Li, J Li, K Zhao, T Zhang 2014 IEEE International Conference on Image Processing (ICIP), 2552-2555, 2014 | 8 | 2014 |
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 | 8 | 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 | 7 | 2021 |