| Glmix: Generalized linear mixed models for large-scale response prediction XX Zhang, Y Zhou, Y Ma, BC Chen, L Zhang, D Agarwal Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 92 | 2016 |
| Pinnersage: Multi-modal user embedding framework for recommendations at pinterest A Pal, C Eksombatchai, Y Zhou, B Zhao, C Rosenberg, J Leskovec Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 91 | 2020 |
| Customized regression model for airbnb dynamic pricing P Ye, J Qian, J Chen, C Wu, Y Zhou, S De Mars, F Yang, L Zhang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 87 | 2018 |
| Learning a ranking model using interactions of a user with a jobs list L Tang, E Huang, X Miao, Y Zhou, D Hardtke, JD Young US Patent 9,626,654, 2017 | 19 | 2017 |
| Version control for asynchronous distributed machine learning X Miao, Y Zhou, JD Young, L Tang, A Bhasin US Patent 10,380,500, 2019 | 16 | 2019 |
| Regularized model adaptation for in-session recommendations X Miao, Y Zhou, JD Young, L Tang, A Bhasin US Patent 10,586,167, 2020 | 13 | 2020 |
| Distributed personalization X Miao, CT Chu, L Tang, Y Zhou, J Young, A Bhasin Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 9 | 2015 |
| Scalable response prediction using personalized recommendation models XX Zhang, Y Zhou, Y Ma, BC Chen, L Zhang, D Agarwal US Patent 10,102,503, 2018 | 8 | 2018 |
| Nonlinear featurization of decision trees for linear regression modeling L Tang, E Huang, X Miao, Y Zhou, D Hardtke, JD Young US Patent App. 14/788,717, 2017 | 8 | 2017 |
| PinnerSage A Pal, C Eksombatchai, Y Zhou, B Zhao, C Rosenberg, J Leskovec Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 7 | 2020 |
| Every Preference Changes Differently: Neural Multi-Interest Preference Model with Temporal Dynamics for Recommendation H Shi, Y Gu, Y Zhou, B Zhao, S Gao, J Zhao arXiv preprint arXiv:2207.06652, 2022 | 2 | 2022 |
| Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval H Shi, Y Gu, Y Zhou, B Zhao, S Gao, J Zhao International Conference on Machine Learning, 31228-31242, 2023 | 1 | 2023 |
| Learning a ranking model using interactions of a user with a jobs list L Tang, E Huang, X Miao, Y Zhou, D Hardtke, JD Young US Patent App. 15/487,015, 2017 | 1 | 2017 |
| Recommending content to subscribers A Pal, C Eksombatchai, Y Zhou, B Zhao, CJ Rosenberg, J Leskovec US Patent App. 17/882,882, 2022 | | 2022 |
| Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model H Shi, Y Gu, Y Zhou, B Zhao, S Gao, J Zhao | | 2022 |
| Recommending content to subscribers A Pal, C Eksombatchai, Y Zhou, B Zhao, CJ Rosenberg, J Leskovec US Patent 11,409,821, 2022 | | 2022 |
