| Bandit samplers for training graph neural networks Z Liu, Z Wu, Z Zhang, J Zhou, S Yang, L Song, Y Qi Advances in Neural Information Processing Systems 33, 6878-6888, 2020 | 49 | 2020 |
| Generative-contrastive graph learning for recommendation Y Yang, Z Wu, L Wu, K Zhang, R Hong, Z Zhang, J Zhou, M Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 30 | 2023 |
| Geabase: A high-performance distributed graph database for industry-scale applications Z Fu, Z Wu, H Li, Y Li, M Wu, X Chen, X Ye, B Yu, X Hu International Journal of High Performance Computing and Networking 15 (1-2 …, 2019 | 25 | 2019 |
| Hubble: An industrial system for audience expansion in mobile marketing C Zhuang, Z Liu, Z Zhang, Y Tan, Z Wu, Z Liu, J Wei, J Gu, G Zhang, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 19 | 2020 |
| Joint incentive optimization of customer and merchant in mobile payment marketing L Yu, Z Wu, T Cai, Z Liu, Z Zhang, L Gu, X Zeng, J Gu Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15000 …, 2021 | 12 | 2021 |
| MERIT: Learning Multi-level Representations on Temporal Graphs. B Hu, Z Wu, J Zhou, Z Liu, Z Huangfu, Z Zhang, C Chen IJCAI, 2073-2079, 2022 | 8 | 2022 |
| A multi-task learning approach for delayed feedback modeling Z Huangfu, GD Zhang, Z Wu, Q Wu, Z Zhang, L Gu, J Zhou, J Gu Companion Proceedings of the Web Conference 2022, 116-120, 2022 | 8 | 2022 |
| Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation K Tu, W Qu, Z Wu, Z Zhang, Z Liu, Y Zhao, L Wu, J Zhou, G Zhang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| Long-Tail Augmented Graph Contrastive Learning for Recommendation Q Zhao, Z Wu, Z Zhang, J Zhou Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2 | 2023 |
| Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation S Wei, Z Wu, X Li, Q Wu, Z Zhang, J Zhou, L Gu, J Gu Proceedings of the ACM on Web Conference 2024, 3767-3776, 2024 | 1 | 2024 |
| A Scalable Social Recommendation Framework with Decoupled Graph Neural Network K Tu, Z Wu, B Hu, Z Zhang, P Cui, X Li, J Zhou International Conference on Database Systems for Advanced Applications, 519-531, 2023 | 1 | 2023 |
| FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation H Qian, Q Wu, MH Li, Z Wu, Z Zhang, J Zhou, L Gu, J Gu Proceedings of the 31st ACM International Conference on Information …, 2022 | 1 | 2022 |
| A Graph Learning Based Framework for Billion-Scale Offline User Identification D Wang, Z Weng, Z Wu, Z Zhang, P Cui, H Zhao, J Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 1 | 2022 |
| DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation Z An, Z Gu, L Yu, K Tu, Z Wu, B Hu, Z Zhang, L Gu, J Gu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Adaptively Denoising Graph Neural Networks for Knowledge Distillation Y Guo, C Yang, C Shi, K Tu, Z Wu, Z Zhang, J Zhou Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Method and apparatus for training model based on relation network, and method and apparatus for determining representation based on relation network K Tu, Z Wu, HU Binbin, Z Zhang US Patent App. 18/524,692, 2024 | | 2024 |
| Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation S Wei, Z Wu, Z Zhang, J Zhou Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Decoupled Graph Neural Networks based on Label Agreement Message Propagation Z An, Z Wu, B Hu, Z Zhang, JUN ZHOU, Y Wang, SL Huang ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 0 | | |
