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 | 139 | 2019 |
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 | 119* | 2020 |
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 | 118 | 2019 |
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 | 114 | 2020 |
Deep Learning for Click-Through Rate Estimation W Zhang, J Qin, W Guo, R Tang, X He IJCAI 2021 Survey Track, 2021 | 90 | 2021 |
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 | 49 | 2020 |
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 | 42 | 2019 |
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 | 32* | 2022 |
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 | 31 | 2022 |
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 | 29 | 2021 |
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 | 24 | 2021 |
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 | 20 | 2022 |
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 | 11 | 2023 |
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 | 9 | 2022 |
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 | 8 | 2023 |
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 | 8 | 2022 |
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 | 5* | 2020 |
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 | 4 | 2023 |
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems J Qin, W Liu, R Tang, W Zhang, Y Yu arXiv preprint arXiv:2401.11478, 2024 | 2 | 2024 |
Neural Re-ranking for Multi-stage Recommender Systems W Liu, J Qin, R Tang, B Chen Proceedings of the 16th ACM Conference on Recommender Systems, 698-699, 2022 | 1 | 2022 |