| Collaborative knowledge base embedding for recommender systems F Zhang, NJ Yuan, D Lian, X Xie, WY Ma Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 848 | 2016 |
| GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation D Lian, C Zhao, X Xie, G Sun, E Chen, Y Rui Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 555 | 2014 |
| Regularity and conformity: Location prediction using heterogeneous mobility data Y Wang, NJ Yuan, D Lian, L Xu, X Xie, E Chen, Y Rui Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 159 | 2015 |
| Attention-based transactional context embedding for next-item recommendation S Wang, L Hu, L Cao, X Huang, D Lian, W Liu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 122 | 2018 |
| A survey on session-based recommender systems S Wang, L Cao, Y Wang, QZ Sheng, MA Orgun, D Lian ACM Computing Surveys (CSUR) 54 (7), 1-38, 2021 | 108 | 2021 |
| We know how you live: exploring the spectrum of urban lifestyles NJ Yuan, F Zhang, D Lian, K Zheng, S Yu, X Xie Proceedings of the first ACM conference on Online social networks, 3-14, 2013 | 102 | 2013 |
| Neural memory streaming recommender networks with adversarial training Q Wang, H Yin, Z Hu, D Lian, H Wang, Z Huang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 99 | 2018 |
| Content-aware collaborative filtering for location recommendation based on human mobility data D Lian, Y Ge, F Zhang, NJ Yuan, X Xie, T Zhou, Y Rui 2015 IEEE international conference on data mining, 261-270, 2015 | 91 | 2015 |
| CEPR: A collaborative exploration and periodically returning model for location prediction D Lian, X Xie, VW Zheng, NJ Yuan, F Zhang, E Chen ACM Transactions on Intelligent Systems and Technology (TIST) 6 (1), 1-27, 2015 | 89 | 2015 |
| Learning location naming from user check-in histories D Lian, X Xie Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances …, 2011 | 76 | 2011 |
| GeoMF++ scalable location recommendation via joint geographical modeling and matrix factorization D Lian, K Zheng, Y Ge, L Cao, E Chen, X Xie ACM Transactions on Information Systems (TOIS) 36 (3), 1-29, 2018 | 75 | 2018 |
| Scalable content-aware collaborative filtering for location recommendation D Lian, Y Ge, F Zhang, NJ Yuan, X Xie, T Zhou, Y Rui IEEE Transactions on Knowledge and Data Engineering 30 (6), 1122-1135, 2018 | 69 | 2018 |
| Binarized attributed network embedding H Yang, S Pan, P Zhang, L Chen, D Lian, C Zhang 2018 IEEE International Conference on Data Mining (ICDM), 1476-1481, 2018 | 61 | 2018 |
| Orderliness predicts academic performance: behavioural analysis on campus lifestyle Y Cao, J Gao, D Lian, Z Rong, J Shi, Q Wang, Y Wu, H Yao, T Zhou Journal of The Royal Society Interface 15 (146), 20180210, 2018 | 57 | 2018 |
| Exploiting dining preference for restaurant recommendation F Zhang, NJ Yuan, K Zheng, D Lian, X Xie, Y Rui Proceedings of the 25th International Conference on World Wide Web, 725-735, 2016 | 56 | 2016 |
| Discrete content-aware matrix factorization D Lian, R Liu, Y Ge, K Zheng, X Xie, L Cao Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 51 | 2017 |
| Discrete deep learning for fast content-aware recommendation Y Zhang, H Yin, Z Huang, X Du, G Yang, D Lian Proceedings of the eleventh ACM international conference on web search and …, 2018 | 43 | 2018 |
| Mining novelty-seeking trait across heterogeneous domains F Zhang, NJ Yuan, D Lian, X Xie Proceedings of the 23rd international conference on World wide web, 373-384, 2014 | 42 | 2014 |
| Collaborative filtering meets next check-in location prediction D Lian, VW Zheng, X Xie Proceedings of the 22nd International Conference on World Wide Web, 231-232, 2013 | 42 | 2013 |
| Sparse modeling-based sequential ensemble learning for effective outlier detection in high-dimensional numeric data G Pang, L Cao, L Chen, D Lian, H Liu Thirty-second AAAI conference on artificial intelligence, 2018 | 41 | 2018 |
Xing Xie 谢幸Senior Principal Research Manager, Microsoft, CCF Fellow, IEEE Fellow, ACM Distinguished MemberVerified email at microsoft.com
