| Feature-distributed SVRG for high-dimensional linear classification GD Zhang, SY Zhao, H Gao, WJ Li arXiv preprint arXiv:1802.03604, 2018 | 24 | 2018 |
| Breaking the barrier: utilizing large language models for industrial recommendation systems through an inferential knowledge graph Q Zhao, H Qian, Z Liu, GD Zhang, L Gu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 10 | 2024 |
| An industrial framework for cold-start recommendation in zero-shot scenarios Z Huan, G Zhang, X Zhang, J Zhou, Q Wu, L Gu, J Gu, Y He, Y Zhu, L Mo Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 10 | 2022 |
| Lock-free optimization for non-convex problems SY Zhao, GD Zhang, WJ Li Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 9 | 2017 |
| 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 |
| Proximal SCOPE for distributed sparse learning S Zhao, GD Zhang, MW Li, WJ Li Advances in Neural Information Processing Systems 31, 2018 | 6 | 2018 |
| Alleviating Matching Bias in Marketing Recommendations J Fang, Q Cui, G Zhang, C Tang, L Gu, L Li, J Gu, J Zhou, F Wu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 4 | 2023 |
| Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations J Fang, G Zhang, Q Cui, C Tang, L Gu, L Li, J Gu, J Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 11944 …, 2024 | 3 | 2024 |
| Proximal SCOPE for distributed sparse learning: better data partition implies faster convergence rate SY Zhao, GD Zhang, MW Li, WJ Li arXiv preprint arXiv:1803.05621, 2018 | 1 | 2018 |
| To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation Z Huangfu, B Hu, Z Wu, F Han, GD Zhang, GD Zhang, L Gu, L Gu, ... Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge J Fang, G Zhang, Q Cui, L Gu, L Li, J Gu, J Zhou Companion Proceedings of the ACM on Web Conference 2024, 93-102, 2024 | | 2024 |
Lihong Guantgroup在 antgroup.com 的电子邮件经过验证
