| 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 | 1892 | 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 | 740 | 2014 |
| 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 | 624 | 2021 |
| C-pack: Packed resources for general chinese embeddings S Xiao, Z Liu, P Zhang, N Muennighoff, D Lian, JY Nie Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 323* | 2024 |
| 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 | 265 | 2018 |
| Geography-aware sequential location recommendation D Lian, Y Wu, Y Ge, X Xie, E Chen Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 230 | 2020 |
| Graph convolutional networks with markov random field reasoning for social spammer detection Y Wu, D Lian, Y Xu, L Wu, E Chen Proceedings of the AAAI conference on artificial intelligence 34 (01), 1054-1061, 2020 | 199 | 2020 |
| 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 | 191 | 2015 |
| 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 | 176 | 2018 |
| M3-embedding: multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation J Chen, S Xiao, P Zhang, K Luo, D Lian, Z Liu Findings of the Association for Computational Linguistics ACL 2024, 2318-2335, 2024 | 162* | 2024 |
| Graphformers: Gnn-nested transformers for representation learning on textual graph J Yang, Z Liu, S Xiao, C Li, D Lian, S Agrawal, A Singh, G Sun, X Xie Advances in Neural Information Processing Systems 34, 28798-28810, 2021 | 138 | 2021 |
| MCNE: An end-to-end framework for learning multiple conditional network representations of social network H Wang, T Xu, Q Liu, D Lian, E Chen, D Du, H Wu, W Su Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 125 | 2019 |
| 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 | 125 | 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 | 115 | 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 | 113 | 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 | 112 | 2015 |
| 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 | 110 | 2013 |
| 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 | 106 | 2015 |
| Personalized ranking with importance sampling D Lian, Q Liu, E Chen Proceedings of The Web Conference 2020, 1093-1103, 2020 | 101 | 2020 |
| Frequency-domain MLPs are more effective learners in time series forecasting K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, N An, D Lian, L Cao, Z Niu Advances in Neural Information Processing Systems 36, 2024 | 96 | 2024 |
Enhong ChenUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn