| 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 | 301 | 2016 |
| 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 | 295 | 2018 |
| 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 | 241 | 2014 |
| 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 | 90 | 2017 |
| 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 | 71 | 2016 |
| 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 | 62 | 2015 |
| 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 | 55 | 2017 |
| 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 | 45 | 2016 |
| 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 | 36 | 2018 |
| 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 | 33 | 2018 |
| 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 | 32 | 2019 |
| 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 | 32 | 2015 |
| 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 | 30 | 2017 |
| 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 | 29 | 2018 |
| Are neighbors alike? A semisupervised probabilistic collaborative learning model for online review spammers detection Z Wu, G Liu, J Wu, Y Tan Information Systems Research, 2023 | 26 | 2023 |
| 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 | 26 | 2018 |
| Fraud detection via behavioral sequence embedding G Liu, J Guo, Y Zuo, J Wu, R Guo Knowledge and information Systems 62, 2685-2708, 2020 | 24 | 2020 |
| ETCF: An ensemble model for CTR prediction X Qiu, Y Zuo, G Liu 2018 15th International conference on service systems and service management …, 2018 | 20 | 2018 |
| 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 | 20 | 2016 |
| 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 | 20 | 2014 |
