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Jiarui Qin
Jiarui Qin
Noah's Ark Lab, Huawei
Dirección de correo verificada de huawei.com - Página principal
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Año
Deep recurrent survival analysis
K Ren, J Qin, L Zheng, Z Yang, W Zhang, L Qiu, Y Yu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4798-4805, 2019
1772019
User behavior retrieval for click-through rate prediction
J Qin, W Zhang, X Wu, J Jin, Y Fang, Y Yu
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
1452020
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
K Ren*, J Qin*, Y Fang*(*=equal contribution), W Zhang, L Zheng, W Bian, ...
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
1442019
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
J Jin, J Qin, Y Fang, K Du, W Zhang, Y Yu, Z Zhang, AJ Smola
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
134*2020
Deep Learning for Click-Through Rate Estimation
W Zhang, J Qin, W Guo, R Tang, X He
IJCAI 2021 Survey Track, 2021
1282021
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
J Qin, K Ren, Y Fang, W Zhang, Y Yu
Proceedings of the 13th International Conference on Web Search and Data …, 2020
542020
Improving knowledge tracing with collaborative information
T Long, J Qin, J Shen, W Zhang, W Xia, R Tang, X He, Y Yu
Proceedings of the fifteenth ACM international conference on web search and …, 2022
512022
Neural Re-ranking in Multi-stage Recommender Systems: A Review
W Liu, Y Xi, J Qin, F Sun, B Chen, W Zhang, R Zhang, R Tang
IJCAI 2022 Survey Track, 2022
482022
Deep landscape forecasting for real-time bidding advertising
K Ren, J Qin, L Zheng, Z Yang, W Zhang, Y Yu
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
472019
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
W Guo, C Zhang, Z He, J Qin, H Guo, B Chen, R Tang, X He, R Zhang
ICDE 2022, 2021
432021
Rankflow: Joint optimization of multi-stage cascade ranking systems as flows
J Qin, J Zhu, B Chen, Z Liu, W Liu, R Tang, R Zhang, Y Yu, W Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
402022
Retrieval & Interaction Machine for Tabular Data Prediction
J Qin, W Zhang, R Su, Z Liu, W Liu, R Tang, X He, Y Yu
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
382021
A survey on user behavior modeling in recommender systems
Z He, W Liu, W Guo, J Qin, Y Zhang, Y Hu, R Tang
arXiv preprint arXiv:2302.11087, 2023
322023
Disentangling past-future modeling in sequential recommendation via dual networks
H Zhang, E Yuan, W Guo, Z He, J Qin, H Guo, B Chen, X Li, R Tang
Proceedings of the 31st ACM international conference on information …, 2022
192022
Learning to retrieve user behaviors for click-through rate estimation
J Qin, W Zhang, R Su, Z Liu, W Liu, G Zhao, H Li, R Tang, X He, Y Yu
ACM Transactions on Information Systems 41 (4), 1-31, 2023
152023
Personalized diversification for neural re-ranking in recommendation
W Liu, Y Xi, J Qin, X Dai, R Tang, S Li, W Zhang, R Zhang
2023 IEEE 39th International Conference on Data Engineering (ICDE), 802-815, 2023
10*2023
Learning to distinguish multi-user coupling behaviors for tv recommendation
J Qin, J Zhu, Y Liu, J Gao, J Ying, C Liu, D Wang, J Feng, C Deng, ...
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
102023
PeerRank: robust learning to rank with peer loss over noisy labels
X Wu, Q Liu, J Qin, Y Yu
IEEE Access 10, 6830-6841, 2022
82022
A Comprehensive Survey on Retrieval Methods in Recommender Systems
J Huang, J Chen, J Lin, J Qin, Z Feng, W Zhang, Y Yu
arXiv preprint arXiv:2407.21022, 2024
72024
GraphHINGE: Learning interaction models of structured neighborhood on heterogeneous information network
J Jin, K Du, W Zhang, J Qin, Y Fang, Y Yu, Z Zhang, AJ Smola
ACM Transactions on Information Systems (TOIS) 40 (3), 1-35, 2022, 2020
6*2020
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