| Autofis: Automatic feature interaction selection in factorization models for click-through rate prediction B Liu, C Zhu, G Li, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 198 | 2020 |
| Feature generation by convolutional neural network for click-through rate prediction B Liu, R Tang, Y Chen, J Yu, H Guo, Y Zhang The World Wide Web Conference, 1119-1129, 2019 | 174 | 2019 |
| AutoGroup: Automatic feature grouping for modelling explicit high-order feature interactions in CTR prediction B Liu, N Xue, H Guo, R Tang, S Zafeiriou, X He, Z Li Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 55 | 2020 |
| Autofeature: Searching for feature interactions and their architectures for click-through rate prediction F Khawar, X Hang, R Tang, B Liu, Z Li, X He Proceedings of the 29th ACM International Conference on Information …, 2020 | 48 | 2020 |
| Autohash: Learning higher-order feature interactions for deep ctr prediction N Xue, B Liu, H Guo, R Tang, F Zhou, S Zafeiriou, Y Zhang, J Wang, Z Li IEEE Transactions on Knowledge and Data Engineering 34 (6), 2653-2666, 2020 | 16 | 2020 |
| i-razor: A neural input razor for feature selection and dimension search in large-scale recommender systems Y Yao, B Liu, H He, D Sheng, K Wang, L Xiao, H Cao arXiv preprint arXiv:2204.00281, 2022 | 5 | 2022 |
| i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems Y Yao, B Liu, H He, D Sheng, K Wang, L Xiao, H Cao IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| A two-step information accumulation strategy for learning from highly imbalanced data B Liu, M Zhang, W Ma, X Li, Y Liu, S Ma Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 2 | 2017 |
| Data Processing Method and Apparatus G Li, B Liu, R Tang, X He, Z Li US Patent App. 17/948,392, 2023 | 1 | 2023 |
| Recommendation method and apparatus based on automatic feature grouping B Liu, R Tang, GUO Huifeng, XUE Niannan, G Li, X He, Z Li US Patent App. 17/964,117, 2023 | | 2023 |
| TUM Data Innovation Lab Munich Data Science Institute (MDSI) Technical University of Munich & TUM Chair of Data Science in Earth BSP Jahoda, BSS Yilmaz, BSE Demir, BSV Nguyen, BSZ Liu | | 2023 |
| Towards More Powerful Multi-column Convolutional Network for Crowd Counting J Zhang, Q Chu, W Li, B Liu, W Zhang, N Yu Image and Graphics: 11th International Conference, ICIG 2021, Haikou, China …, 2021 | | 2021 |
Ruiming TangHuawei確認したメール アドレス: huawei.com
