| Geospatial object detection in high resolution satellite images based on multi-scale convolutional neural network W Guo, W Yang, H Zhang, G Hua Remote Sensing 10 (1), 131, 2018 | 174 | 2018 |
| Neighbor interaction aware graph convolution networks for recommendation J Sun, Y Zhang, W Guo, H Guo, R Tang, X He, C Ma, M Coates Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 152 | 2020 |
| Deep learning for click-through rate estimation W Zhang, J Qin, W Guo, R Tang, X He arXiv preprint arXiv:2104.10584, 2021 | 97 | 2021 |
| A framework for recommending accurate and diverse items using bayesian graph convolutional neural networks J Sun, W Guo, D Zhang, Y Zhang, F Regol, Y Hu, H Guo, R Tang, H Yuan, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 82 | 2020 |
| Graphsail: Graph structure aware incremental learning for recommender systems Y Xu, Y Zhang, W Guo, H Guo, R Tang, M Coates Proceedings of the 29th ACM International Conference on Information …, 2020 | 81 | 2020 |
| Dual graph enhanced embedding neural network for CTR prediction W Guo, R Su, R Tan, H Guo, Y Zhang, Z Liu, R Tang, X He Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 56 | 2021 |
| Multi-behavior sequential transformer recommender E Yuan, W Guo, Z He, H Guo, C Liu, R Tang Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 46 | 2022 |
| Enhancing explicit and implicit feature interactions via information sharing for parallel deep ctr models B Chen, Y Wang, Z Liu, R Tang, W Guo, H Zheng, W Yao, M Zhang, X He Proceedings of the 30th ACM international conference on information …, 2021 | 43 | 2021 |
| TGCN: Tag graph convolutional network for tag-aware recommendation B Chen, W Guo, R Tang, X Xin, Y Ding, X He, D Wang Proceedings of the 29th ACM International Conference on Information …, 2020 | 37 | 2020 |
| Bottle detection in the wild using low-altitude unmanned aerial vehicles J Wang, W Guo, T Pan, H Yu, L Duan, W Yang 2018 21st International Conference on Information Fusion (FUSION), 439-444, 2018 | 37 | 2018 |
| Miss: Multi-interest self-supervised learning framework for click-through rate prediction W Guo, C Zhang, Z He, J Qin, H Guo, B Chen, R Tang, X He, R Zhang 2022 IEEE 38th international conference on data engineering (ICDE), 727-740, 2022 | 30 | 2022 |
| Cross pairwise ranking for unbiased item recommendation Q Wan, X He, X Wang, J Wu, W Guo, R Tang Proceedings of the ACM Web Conference 2022, 2370-2378, 2022 | 29 | 2022 |
| Multi-scale cascading network with compact feature learning for RGB-infrared person re-identification C Zhang, H Liu, W Guo, M Ye 2020 25th International Conference on Pattern Recognition (ICPR), 8679-8686, 2021 | 24 | 2021 |
| Deep graph convolutional networks with hybrid normalization for accurate and diverse recommendation W Guo, Y Yang, Y Hu, C Wang, H Guo, Y Zhang, R Tang, W Zhang, X He Proceedings of 3rd Workshop on Deep Learning Practice for High-Dimensional …, 2021 | 20 | 2021 |
| Map: A model-agnostic pretraining framework for click-through rate prediction J Lin, Y Qu, W Guo, X Dai, R Tang, Y Yu, W Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 18 | 2023 |
| Order-aware embedding neural network for CTR prediction W Guo, R Tang, H Guo, J Han, W Yang, Y Zhang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 17 | 2019 |
| Coarse-to-fine knowledge-enhanced multi-interest learning framework for multi-behavior recommendation C Meng, Z Zhao, W Guo, Y Zhang, H Wu, C Gao, D Li, X Li, R Tang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 16 | 2023 |
| A survey on user behavior modeling in recommender systems Z He, W Liu, W Guo, J Qin, Y Zhang, Y Hu, R Tang arXiv preprint arXiv:2302.11087, 2023 | 12 | 2023 |
| Hierarchical projection enhanced multi-behavior recommendation C Meng, H Zhang, W Guo, H Guo, H Liu, Y Zhang, H Zheng, R Tang, X Li, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 11 | 2023 |
| Compressed interaction graph based framework for multi-behavior recommendation W Guo, C Meng, E Yuan, Z He, H Guo, Y Zhang, B Chen, Y Hu, R Tang, ... Proceedings of the ACM Web Conference 2023, 960-970, 2023 | 10 | 2023 |
Ruiming TangHuawei在 huawei.com 的电子邮件经过验证
