| Generalizing consistent multi-class classification with rejection to be compatible with arbitrary losses Y Cao, T Cai, L Feng, L Gu, J Gu, B An, G Niu, M Sugiyama Advances in neural information processing systems 35, 521-534, 2022 | 34 | 2022 |
| 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 | 14 | 2024 |
| 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 | 11 | 2021 |
| 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 |
| 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 |
| Imbalance-aware uplift modeling for observational data X Chen, Z Liu, L Yu, L Yao, W Zhang, Y Dong, L Gu, X Zeng, Y Tan, J Gu Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6313-6321, 2022 | 6 | 2022 |
| Scope-aware re-ranking with gated attention in feed H Qian, Q Wu, K Zhang, Z Zhang, L Gu, X Zeng, J Zhou, J Gu Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 6 | 2022 |
| Adversarial learning for incentive optimization in mobile payment marketing X Chen, Z Liu, L Yu, S Li, L Gu, X Zeng, Y Tan, J Gu Proceedings of the 30th ACM international conference on information …, 2021 | 6 | 2021 |
| 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 Web Conference 2024, 3767-3776, 2024 | 5 | 2024 |
| 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 |
| Marketing budget allocation with offline constrained deep reinforcement learning T Cai, J Jiang, W Zhang, S Zhou, X Song, L Yu, L Gu, X Zeng, J Gu, ... Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 4 | 2023 |
| 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 | 3 | 2024 |
| 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 |
| Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems T Cai, S Bao, J Jiang, S Zhou, W Zhang, L Gu, J Gu, G Zhang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
| Multi-Objective Online Learning J Jiang, W Zhang, S Zhou, L Gu, X Zeng, W Zhu The Eleventh International Conference on Learning Representations, 2023 | 2 | 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 | 2 | 2022 |
| Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction Y Yue, Y Liu, S Tong, M Li, Z Zhang, C Wen, H Bao, L Gu, J Gu, Y Mu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 2 | 2021 |
| LinkLouvain: Link-aware A/B testing and its application on online marketing campaign T Cai, D Cheng, C Liang, Z Liu, L Gu, H Xie, Z Zhang, X Zeng, J Gu Database Systems for Advanced Applications: 26th International Conference …, 2021 | 2 | 2021 |
| Global-aware model-free self-distillation for recommendation system A Li, J Hu, W Lu, K Ding, X Zhang, J Zhou, Y He, L Zhang, L Gu International Conference on Database Systems for Advanced Applications, 515-518, 2023 | 1 | 2023 |
| Robust Offline Reinforcement Learning from Low-Quality Data W Shi, T Cai, S Song, L Gu, J Gu, G Huang | 1 | 2020 |
