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Guannan Liu
Guannan Liu
Associate Professor, Beihang University
Verified email at buaa.edu.cn
Title
Cited by
Cited by
Year
Traffic speed prediction and congestion source exploration: A deep learning method
J Wang, Q Gu, J Wu, G Liu, Z Xiong
2016 IEEE 16th international conference on data mining (ICDM), 499-508, 2016
2892016
Embedding temporal network via neighborhood formation
Y Zuo, G Liu, H Lin, J Guo, X Hu, J Wu
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
2782018
A cost-effective recommender system for taxi drivers
M Qu, H Zhu, J Liu, G Liu, H Xiong
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
2352014
Human mobility synchronization and trip purpose detection with mixture of hawkes processes
P Wang, Y Fu, G Liu, W Hu, C Aggarwal
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
902017
Semantic search for public opinions on urban affairs: A probabilistic topic modeling-based approach
B Ma, N Zhang, G Liu, L Li, H Yuan
Information Processing & Management 52 (3), 430-445, 2016
702016
Real estate ranking via mixed land-use latent models
Y Fu, G Liu, S Papadimitriou, H Xiong, Y Ge, H Zhu, C Zhu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
622015
Modeling buying motives for personalized product bundle recommendation
G Liu, Y Fu, G Chen, H Xiong, C Chen
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-26, 2017
492017
Fused latent models for assessing product return propensity in online commerce
Y Fu, G Liu, S Papadimitriou, H Xiong, X Li, G Chen
Decision Support Systems 91, 77-88, 2016
402016
Ensemble-spotting: Ranking urban vibrancy via poi embedding with multi-view spatial graphs
P Wang, J Zhang, G Liu, Y Fu, C Aggarwal
Proceedings of the 2018 SIAM International Conference on Data Mining, 351-359, 2018
362018
Exploring the impact of dynamic mutual influence on social event participation
T Xu, H Zhong, H Zhu, H Xiong, E Chen, G Liu
Proceedings of the 2015 SIAM international conference on data mining, 262-270, 2015
322015
Learning sequential behavior representations for fraud detection
J Guo, G Liu, Y Zuo, J Wu
2018 IEEE international conference on data mining (ICDM), 127-136, 2018
302018
Spotting trip purposes from taxi trajectories: A general probabilistic model
P Wang, G Liu, Y Fu, Y Zhou, J Li
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (3), 1-26, 2017
292017
Fraud detection in dynamic interaction network
H Lin, G Liu, J Wu, Y Zuo, X Wan, H Li
IEEE Transactions on Knowledge and Data Engineering 32 (10), 1936-1950, 2019
282019
Representing urban forms: A collective learning model with heterogeneous human mobility data
Y Fu, G Liu, Y Ge, P Wang, H Zhu, C Li, H Xiong
IEEE transactions on knowledge and data engineering 31 (3), 535-548, 2018
282018
Exploiting the dynamic mutual influence for predicting social event participation
T Xu, H Zhu, H Zhong, G Liu, H Xiong, E Chen
IEEE Transactions on Knowledge and Data Engineering 31 (6), 1122-1135, 2018
252018
Fraud detection via behavioral sequence embedding
G Liu, J Guo, Y Zuo, J Wu, R Guo
Knowledge and information Systems 62, 2685-2708, 2020
232020
Discovering temporal retweeting patterns for social media marketing campaigns
G Liu, Y Fu, T Xu, H Xiong, G Chen
2014 IEEE international conference on data mining, 905-910, 2014
202014
Wisdom of fusion: prediction of 2016 Taiwan election with heterogeneous big data
Z Xie, G Liu, J Wu, L Wang, C Liu
2016 13th international conference on service systems and service management …, 2016
192016
ETCF: An ensemble model for CTR prediction
X Qiu, Y Zuo, G Liu
2018 15th International Conference on Service Systems and Service Management …, 2018
182018
Being rational or aggressive? A revisit to Dunbar׳ s number in online social networks
J Zhao, J Wu, G Liu, D Tao, K Xu, C Liu
Neurocomputing 142, 343-353, 2014
182014
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