| 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 | 96 | 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 | 80* | 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 | 80 | 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 | 59 | 2020 |
| 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 | 36 | 2020 |
| Deep Learning for Click-Through Rate Estimation W Zhang, J Qin, W Guo, R Tang, X He IJCAI 2021 Survey Track, 2021 | 35 | 2021 |
| 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 | 27 | 2019 |
| 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 | 8 | 2021 |
| 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 | 7 | 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 | 7 | 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 | 5 | 2022 |
| 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 | 5* | 2022 |
| 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 | 4 | 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 | 4* | 2020 |
| 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, 2023 | 1 | 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 | | 2023 |
| 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 | | 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 | | 2022 |
| 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 | | 2022 |
Weinan ZhangAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
