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Xinyi Dai
Xinyi Dai
Noah's Ark Lab, Huawei
在 sjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Semi-supervised deep embedded clustering
Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu
Neurocomputing 325, 121-130, 2019
1812019
Interactive recommender system via knowledge graph-enhanced reinforcement learning
S Zhou, X Dai, H Chen, W Zhang, K Ren, R Tang, X He, Y Yu
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
1602020
Large-scale interactive recommendation with tree-structured policy gradient
H Chen, X Dai, H Cai, W Zhang, X Wang, R Tang, Y Zhang, Y Yu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3312-3320, 2019
1552019
How can recommender systems benefit from large language models: A survey
J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ...
arXiv preprint arXiv:2306.05817, 2023
114*2023
A graph-enhanced click model for web search
J Lin, W Liu, X Dai, W Zhang, S Li, R Tang, X He, J Hao, Y Yu
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
352021
An adversarial imitation click model for information retrieval
X Dai, J Lin, W Zhang, S Li, W Liu, R Tang, X He, J Hao, J Wang, Y Yu
Proceedings of the Web Conference 2021, 1809-1820, 2021
302021
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
182023
U-rank: Utility-oriented learning to rank with implicit feedback
X Dai, J Hou, Q Liu, Y Xi, R Tang, W Zhang, X He, J Wang, Y Yu
Proceedings of the 29th ACM international conference on information …, 2020
18*2020
A bird's-eye view of reranking: from list level to page level
Y Xi, J Lin, W Liu, X Dai, W Zhang, R Zhang, R Tang, Y Yu
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
172023
Towards return parity in markov decision processes
J Chi, J Shen, X Dai, W Zhang, Y Tian, H Zhao
arXiv preprint arXiv:2111.10476, 2021
172021
Multi-level interaction reranking with user behavior history
Y Xi, W Liu, J Zhu, X Zhao, X Dai, R Tang, W Zhang, R Zhang, Y Yu
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
142022
Context-aware reranking with utility maximization for recommendation
Y Xi, W Liu, X Dai, R Tang, W Zhang, Q Liu, X He, Y Yu
arXiv preprint arXiv:2110.09059, 2021
122021
Deep landscape forecasting in multi-slot real-time bidding
W Ou, B Chen, Y Yang, X Dai, W Liu, W Zhang, R Tang, Y Yu
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
32023
Beyond relevance ranking: a general graph matching framework for utility-oriented learning to rank
X Dai, Y Xi, W Zhang, Q Liu, R Tang, X He, J Hou, J Wang, Y Yu
ACM Transactions on Information Systems (TOIS) 40 (2), 1-29, 2021
32021
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders
W Zhang, X Li, Y Wang, K Dong, Y Wang, X Dai, X Zhao, H Guo, R Tang
arXiv preprint arXiv:2404.00702, 2024
12024
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Z Zhu, R Qin, J Huang, X Dai, Y Yu, Y Yu, W Zhang
ACM Transactions on Information Systems 42 (4), 1-32, 2024
12024
A survey on bid optimization in real-time bidding display advertising
W Ou, B Chen, X Dai, W Zhang, W Liu, R Tang, Y Yu
ACM Transactions on Knowledge Discovery from Data 18 (3), 1-31, 2023
12023
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
B Chen, X Dai, H Guo, W Guo, W Liu, Y Liu, J Qin, R Tang, Y Wang, C Wu, ...
arXiv preprint arXiv:2407.10081, 2024
2024
Large Language Models Make Sample-Efficient Recommender Systems
J Lin, X Dai, R Shan, B Chen, R Tang, Y Yu, W Zhang
arXiv preprint arXiv:2406.02368, 2024
2024
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
K Du, J Chen, J Lin, Y Xi, H Wang, X Dai, B Chen, R Tang, W Zhang
arXiv preprint arXiv:2406.00011, 2024
2024
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