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Jin Chen  陈矜
Jin Chen 陈矜
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Title
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Cited by
Year
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu, Y Lei, X Chen, ...
arXiv preprint arXiv:2307.16376, 2023
312023
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
J Chen, D Lian, B Jin, X Huang, K Zheng, E Chen
Proceedings of the ACM Web Conference 2022, 1944-1954, 2022
242022
Improving one-class collaborative filtering via ranking-based implicit regularizer
J Chen, D Lian, K Zheng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 37-44, 2019
232019
xLightFM: Extremely Memory-Efficient Factorization Machine
G Jiang, H Wang, J Chen, H Wang, D Lian, E Chen
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
192021
Learning Recommenders for Implicit Feedback with Importance Resampling
J Chen, D Lian, B Jin, K Zheng, E Chen
Proceedings of the ACM Web Conference 2022, 1997-2005, 2022
172022
Automated Creative Optimization for E-Commerce Advertising
J Chen, J Xu, G Jiang, T Ge, Z Zhang, D Lian, K Zheng
Proceedings of the Web Conference 2021, 2304-2313, 2021
152021
Efficient Join Order Selection Learning with Graph-based Representation
J Chen, G Ye, Y Zhao, S Liu, L Deng, X Chen, R Zhou, K Zheng
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
142022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
J Chen, D Lian, Y Li, B Wang, K Zheng, E Chen
Advances in Neural Information Processing Systems 35, 34817-34830, 2022
82022
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
J Chen, T Ge, G Jiang, Z Zhang, D Lian, K Zheng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3967-3975, 2021
72021
Ranking-based implicit regularization for one-class collaborative filtering
D Lian, J Chen, K Zheng, E Chen, X Zhou
IEEE Transactions on Knowledge and Data Engineering 34 (12), 5951-5963, 2021
52021
Cooperative Retriever and Ranker in Deep Recommenders
X Huang, D Lian, J Chen, L Zheng, X Xie, E Chen
Proceedings of the ACM Web Conference 2023, 1150-1161, 2023
42023
Efficient Learning with Pseudo Labels for Query Cost Estimation
S Liu, X Chen, Y Zhao, J Chen, R Zhou, K Zheng
Proceedings of the 31st ACM International Conference on Information …, 2022
32022
An Incremental Update Framework for Online Recommenders with Data-Driven Prior
C Yang, J Chen, Q Yu, X Wu, K Ma, Z Zhao, Z Fang, W Chen, C Fan, J He, ...
Proceedings of the 32nd ACM International Conference on Information and …, 2023
22023
RecStudio: Towards a Highly-Modularized Recommender System
D Lian, X Huang, X Chen, J Chen, X Wang, Y Wang, H Jin, R Fan, Z Liu, ...
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
22023
Improving Implicit Alternating Least Squares with Ring-based Regularization
R Fan, J Chen, J Zhang, D Lian, E Chen
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
22022
Collaborative filtering with ranking-based priors on unknown ratings
J Chen, D Lian, K Zheng
IEEE Intelligent Systems 35 (5), 38-49, 2020
22020
Knowledge Distillation for High Dimensional Search Index
Z Lu, J Chen, D Lian, Z Zhang, Y Ge, E Chen
Advances in Neural Information Processing Systems 36, 2024
12024
Batch-Mix Negative Sampling for Learning Recommendation Retrievers
Y Fan, J Chen, Y Jiang, D Lian, F Guo, K Zheng
Proceedings of the 32nd ACM International Conference on Information and …, 2023
12023
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation
R Fan, Y Pu, J Chen, Z Zhu, D Lian, E Chen
Proceedings of the ACM Web Conference 2023, 1032-1042, 2023
12023
Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders
Y Li, D Lian, J Chen
International Conference on Database Systems for Advanced Applications, 95-108, 2023
2023
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