On the convergence of stochastic multi-objective gradient manipulation and beyond S Zhou, W Zhang, J Jiang, W Zhong, J Gu, W Zhu Advances in Neural Information Processing Systems 35, 38103-38115, 2022 | 26 | 2022 |
Enhancing recommender systems with large language model reasoning graphs Y Wang, Z Chu, X Ouyang, S Wang, H Hao, Y Shen, J Gu, S Xue, ... arXiv preprint arXiv:2308.10835, 2023 | 25 | 2023 |
Towards fine-grained temporal network representation via time-reinforced random walk Z Liu, D Zhou, Y Zhu, J Gu, J He Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4973-4980, 2020 | 24 | 2020 |
Leveraging large language models for pre-trained recommender systems Z Chu, H Hao, X Ouyang, S Wang, Y Wang, Y Shen, J Gu, Q Cui, L Li, ... arXiv preprint arXiv:2308.10837, 2023 | 22 | 2023 |
Asynchronous decentralized online learning J Jiang, W Zhang, J Gu, W Zhu Advances in Neural Information Processing Systems 34, 20185-20196, 2021 | 18 | 2021 |
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 | 16 | 2022 |
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 | 15 | 2020 |
Graph representation learning for merchant incentive optimization in mobile payment marketing Z Liu, D Wang, Q Yu, Z Zhang, Y Shen, J Ma, W Zhong, J Gu, J Zhou, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 12 | 2019 |
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 |
Graph neural network based VC investment success prediction S Lyu, S Ling, K Guo, H Zhang, K Zhang, S Hong, Q Ke, J Gu arXiv preprint arXiv:2105.11537, 2021 | 9 | 2021 |
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 | 8 | 2021 |
Think-in-memory: Recalling and post-thinking enable llms with long-term memory L Liu, X Yang, Y Shen, B Hu, Z Zhang, J Gu, G Zhang arXiv preprint arXiv:2311.08719, 2023 | 7 | 2023 |
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 | 7 | 2022 |
Intent mining: A social and semantic enhanced topic model for operation-friendly digital marketing W Wang, X Cheng, Z Liu, Y Lin, Y Shen, B Hu, Z Zhang, X Zeng, J Zhou, ... 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3254-3267, 2022 | 6 | 2022 |
Learning representations of inactive users: A cross domain approach with graph neural networks Z Liu, Y Shen, X Cheng, Q Li, J Wei, Z Zhang, D Wang, X Zeng, J Gu, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
User Retention: A Causal Approach with Triple Task Modeling. Y Zhang, D Wang, Q Li, Y Shen, Z Liu, X Zeng, Z Zhang, J Gu, DF Wong IJCAI, 3399-3405, 2021 | 6 | 2021 |
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 | 5 | 2021 |
Two-stage audience expansion for financial targeting in marketing Z Liu, XF Niu, C Zhuang, Y Tan, Y Mu, J Gu, G Zhang Proceedings of the 29th ACM international conference on information …, 2020 | 5 | 2020 |
Unified Hallucination Detection for Multimodal Large Language Models X Chen, C Wang, Y Xue, N Zhang, X Yang, Q Li, Y Shen, J Gu, H Chen arXiv preprint arXiv:2402.03190, 2024 | 4 | 2024 |
Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction Y Ma, Z Liu, C Zhuang, Y Tan, Y Dong, W Zhong, J Gu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |