| Deep & cross network for ad click predictions R Wang, B Fu, G Fu, M Wang Proceedings of the ADKDD'17, 1-7, 2017 | 1362 | 2017 |
| Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems R Wang, R Shivanna, D Cheng, S Jain, D Lin, L Hong, E Chi Proceedings of the web conference 2021, 1785-1797, 2021 | 550 | 2021 |
| Block basis factorization for scalable kernel evaluation R Wang, Y Li, MW Mahoney, E Darve SIAM Journal on Matrix Analysis and Applications 40 (4), 1497-1526, 2019 | 35* | 2019 |
| PBBFMM3D: a parallel black-box algorithm for kernel matrix-vector multiplication R Wang, C Chen, J Lee, E Darve Journal of Parallel and Distributed Computing 154, 64-73, 2021 | 26* | 2021 |
| On the numerical rank of radial basis function kernels in high dimensions R Wang, Y Li, E Darve SIAM Journal on Matrix Analysis and Applications 39 (4), 1810-1835, 2018 | 21 | 2018 |
| Empowering long-tail item recommendation through cross decoupling network (CDN) Y Zhang, R Wang, DZ Cheng, T Yao, X Yi, L Hong, J Caverlee, EH Chi Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 18 | 2023 |
| Unified Embedding: Battle-tested feature representations for web-scale ML systems B Coleman, WC Kang, M Fahrbach, R Wang, L Hong, E Chi, D Cheng Advances in Neural Information Processing Systems 36, 56234-56255, 2023 | 11 | 2023 |
| Improving Relevance Prediction with Transfer Learning in Large-scale Retrieval Systems R Wang, Z Zhao, X Yi, J Yang, DZ Cheng, L Hong, S Tjoa, J Kang, ... Proceedings of the 1st Adaptive & Multitask Learning Workshop, 2019 | 8 | 2019 |
| HyperFormer: Learning expressive sparse feature representations via hypergraph transformer K Ding, AJ Liang, B Perozzi, T Chen, R Wang, L Hong, EH Chi, H Liu, ... Proceedings of the 46th international ACM SIGIR conference on research and …, 2023 | 5 | 2023 |
| Hiformer: Heterogeneous feature interactions learning with transformers for recommender systems H Gui, R Wang, K Yin, L Jin, M Kula, T Xu, L Hong, EH Chi arXiv preprint arXiv:2311.05884, 2023 | 2 | 2023 |
| Efficient data representation learning in google-scale systems DZ Cheng, R Wang, WC Kang, B Coleman, Y Zhang, J Ni, J Valverde, ... Proceedings of the 17th ACM Conference on Recommender Systems, 267-271, 2023 | 1 | 2023 |
| Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders Y Zhang, R Wang, X Li, T Yao, A Evdokimov, J Valverde, Y Gao, J Zhang, ... Proceedings of the 18th ACM Conference on Recommender Systems, 829-831, 2024 | | 2024 |
