| SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios Q Shen, W Tao, J Zhang, H Wen, Z Chen, Q Lu CIKM'21 (𝗕𝗲𝘀𝘁 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗣𝗮𝗽𝗲𝗿 𝗡𝗼𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻), 2021 | 75 | 2021 |
| Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation Q Shen, H Wen, W Tao, J Zhang, F Lv, Z Chen, Z Li WWW'22, 2022 | 47 | 2022 |
| Macro Graph Neural Networks for Online Billion-Scale Recommender Systems H Chen, Y Bei, Q Shen, Y Xu, S Zhou, W Huang, F Huang, S Wang, ... WWW'24, 2024 | 45 | 2024 |
| Multi-factor Sequential Re-ranking with Perception-Aware Diversification Y Xu, H Chen, Z Wang, J Yin, Q Shen, D Wang, F Huang, L Lai, T Zhuang, J Ge ... KDD'23, 2023 | 43* | 2023 |
| Large Language Model Interaction Simulator for Cold-Start Item Recommendation F Huang, Y Bei, Z Yang, J Jiang, H Chen, Q Shen, S Wang, Fakhri Karray ... WSDM'25, 2024 | 27* | 2024 |
| Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search Q Shen, H Wen, J Zhang, Q Rao CIKM'22, 2022 | 10 | 2022 |
| Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks Y Zhang, Y Bei, H Chen, Q Shen, Z Yuan, H Gong, S Wang, F Huang, ... KDD‘24, 2024 | 9 | 2024 |
| A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System F Zhang, Q Shen#, (#corresponding author) SIGIR'23, 2023 | 6* | 2023 |
| Multi-channel Integrated Recommendation with Exposure Constraints Y Xu*, Q Shen*, (*equal contribution), J Yin, Z Deng, D Wang, H Chen, L Lai ... KDD'23, 2023 | 3* | 2023 |
| Feedback Reciprocal Graph Collaborative Filtering W Chen, Y Bei, Q Shen, H Chen, X Huang, F Huang CIKM'24, 2024 | 2 | 2024 |
| Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination R Liu, H Chen, Y Bei, Q Shen, F Zhong, S Wang, J Wang NeurIPS'24 (Spotlight), 2024 | 2 | 2024 |
| Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction P Chen, H Wen, J Zhang, F Lv, Z Li, Q Shen, W Tao, Y Zhou, C Zhang DASFAA'23, 2023 | 2* | 2023 |
| A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy W Tao, ZH Fu, L Li, Z Chen, H Wen, Y Liu, Q Shen, P Chen CIKM'22, 2022 | 2 | 2022 |
| FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation R Liu, H Chen, Y Bei, Z Zhou, L Chen, Q Shen, F Huang, F Karray, ... arXiv preprint arXiv:2502.16924, 2025 | | 2025 |
| Large Language Model Simulator for Cold-Start Recommendation F Huang, Y Bei, Z Yang, J Jiang, H Chen, Q Shen, S Wang, F Karray, ... arXiv preprint arXiv:2402.09176, 2024 | | 2024 |
| A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering H Yang, Q Shen, X Chen, F Zhang, R Du SDM'23, 2023 | | 2023 |
Yuanchen BeiZhejiang UniversityVerified email at zju.edu.cn
