| Graph convolutional neural networks for web-scale recommender systems R Ying, R He, K Chen, P Eksombatchai, WL Hamilton, J Leskovec Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 4309 | 2018 |
| Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering R He, J McAuley Proceedings of the 25th International Conference on World Wide Web (WWW 2016 …, 2016 | 2528 | 2016 |
| VBPR: visual bayesian personalized ranking from implicit feedback R He, J McAuley Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), 2016 | 1027 | 2016 |
| Fusing similarity models with markov chains for sparse sequential recommendation R He, J McAuley IEEE 16th International Conference on Data Mining (ICDM 2016), 191-200, 2016 | 877 | 2016 |
| Translation-based recommendation R He, WC Kang, J McAuley Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys …, 2017 | 498 | 2017 |
| Vista: A visually, socially, and temporally-aware model for artistic recommendation R He, C Fang, Z Wang, J McAuley Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016 …, 2016 | 175 | 2016 |
| Realformer: Transformer likes residual attention R He, A Ravula, B Kanagal, J Ainslie arXiv preprint arXiv:2012.11747, 2020 | 124 | 2020 |
| Learning compatibility across categories for heterogeneous item recommendation R He, C Packer, J McAuley IEEE 16th International Conference on Data Mining (ICDM 2016), 937-942, 2016 | 120 | 2016 |
| Sherlock: sparse hierarchical embeddings for visually-aware one-class collaborative filtering R He, C Lin, J Wang, J McAuley Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 81 | 2016 |
| SPMC: socially-aware personalized markov chains for sparse sequential recommendation C Cai, R He, J McAuley Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 71 | 2017 |
| Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. R He, WC Kang, J McAuley Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 57 | 2018 |
| MILC: Inverted list compression in memory J Wang, C Lin, R He, M Chae, Y Papakonstantinou, S Swanson Proceedings of the VLDB Endowment 10 (8), 853-864, 2017 | 43 | 2017 |
| Machine learning model training J Leskovec, C Eksombatchai, K Chen, R He, R Ying US Patent 11,783,175, 2023 | 21 | 2023 |
| ISBA: An independent set-based algorithm for automated partial reconfiguration module generation R He, Y Ma, K Zhao, J Bian Proceedings of the International Conference on Computer-Aided Design (ICCAD …, 2012 | 19 | 2012 |
| DOCENT: Learning self-supervised entity representations from large document collections Y Zemlyanskiy, S Gandhe, R He, B Kanagal, A Ravula, J Gottweis, F Sha, ... arXiv preprint arXiv:2102.13247, 2021 | 12 | 2021 |
| Deep partial multiplex network embedding Q Wang, Y Fang, A Ravula, R He, B Shen, J Wang, X Quan, D Liu Companion Proceedings of the Web Conference 2022, 1053-1062, 2022 | 11 | 2022 |
| Fashionista: A fashion-aware graphical system for exploring visually similar items R He, C Lin, J McAuley Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 11 | 2016 |
| Efficient processing of neighborhood data J Leskovec, C Eksombatchai, K Chen, R He, R Ying US Patent 11,232,152, 2022 | 7 | 2022 |
| PDPR: Fine-grained placement for dynamic partially reconfigurable FPGAs R He, G Liang, Y Ma, Y Wang, J Bian International Symposium on Applied Reconfigurable Computing, 350-356, 2012 | 5 | 2012 |
| Online matching: A real-time bandit system for large-scale recommendations X Yi, SC Wang, R He, H Chandrasekaran, C Wu, L Heldt, L Hong, M Chen, ... Proceedings of the 17th ACM Conference on Recommender Systems, 403-414, 2023 | 4 | 2023 |
Julian McAuleyProfessor, UC San DiegoAdresă de e-mail confirmată pe eng.ucsd.edu