| Multimodal recommender systems: A survey Q Liu, J Hu, Y Xiao, X Zhao, J Gao, W Wang, Q Li, J Tang ACM Computing Surveys 57 (2), 1-17, 2024 | 58 | 2024 |
| Linrec: Linear attention mechanism for long-term sequential recommender systems L Liu, L Cai, C Zhang, X Zhao, J Gao, W Wang, Y Lv, W Fan, Y Wang, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 51 | 2023 |
| A comprehensive survey on trustworthy recommender systems W Fan, X Zhao, X Chen, J Su, J Gao, L Wang, Q Liu, Y Wang, H Xu, ... arXiv preprint arXiv:2209.10117, 2022 | 51 | 2022 |
| Multi-task recommendations with reinforcement learning Z Liu, J Tian, Q Cai, X Zhao, J Gao, S Liu, D Chen, T He, D Zheng, P Jiang, ... Proceedings of the ACM web conference 2023, 1273-1282, 2023 | 42 | 2023 |
| SMLP4Rec: an Efficient all-MLP architecture for sequential recommendations J Gao, X Zhao, M Li, M Zhao, R Wu, R Guo, Y Liu, D Yin ACM Transactions on Information Systems 42 (3), 1-23, 2024 | 18 | 2024 |
| AutoTransfer: Instance transfer for cross-domain recommendations J Gao, X Zhao, B Chen, F Yan, H Guo, R Tang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 17 | 2023 |
| Llm-enhanced reranking in recommender systems J Gao, B Chen, X Zhao, W Liu, X Li, Y Wang, Z Zhang, W Wang, Y Ye, ... arXiv preprint arXiv:2406.12433, 2024 | 11 | 2024 |
| Tutorials at the web conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023 | 7 | 2023 |
| Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation J Gao, B Chen, M Zhu, X Zhao, X Li, Y Wang, Y Wang, H Guo, R Tang arXiv preprint arXiv:2309.02061, 2023 | 4 | 2023 |
| Trustworthy recommender systems: Foundations and frontiers W Fan, X Zhao, L Wang, X Chen, J Gao, Q Liu, S Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| DRN-GAN: an integrated deep learning-based health degradation assessment model for naval propulsion system J Gao, S Dong, J Cui, M Yuan, J Zhao Engineering Computations 39 (6), 2306-2325, 2022 | 3 | 2022 |
| Glint-ru: Gated lightweight intelligent recurrent units for sequential recommender systems S Zhang, M Wang, W Wang, J Gao, X Zhao, Y Yang, X Wei, Z Liu, T Xu arXiv preprint arXiv:2406.10244, 2024 | 2 | 2024 |
| SampleLLM: Optimizing Tabular Data Synthesis in Recommendations J Gao, Z Du, X Li, X Zhao, Y Wang, X Li, H Guo, R Tang arXiv preprint arXiv:2501.16125, 2025 | 1 | 2025 |
| HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations J Gao, B Chen, M Zhu, X Zhao, X Li, Y Wang, Y Wang, H Guo, R Tang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| BiVRec: Bidirectional View-based Multimodal Sequential Recommendation J Hu, J Gao, X Zhao, Y Hu, Y Liang, Y Wang, M He, Z Liu, H Yin arXiv preprint arXiv:2402.17334, 2024 | 1 | 2024 |
| Second place overall solution for amazon kdd cup 2024 P Jia, J Gao, X Li, Z Wang, Y Jin, X Zhao Amazon KDD Cup 2024 Workshop, 2018 | 1 | 2018 |
| From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval J Jia, J Gao, B Xue, J Wang, Q Cai, Q Chen, X Zhao, P Jiang, K Gai arXiv preprint arXiv:2502.12448, 2025 | | 2025 |
| Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark X Li, J Gao, P Jia, Y Wang, W Wang, Y Wang, Y Wang, H Guo, R Tang arXiv preprint arXiv:2412.17374, 2024 | | 2024 |
| Calibration of LiDARs with object detection method J Gao Nanyang Technological University, 2022 | | 2022 |
| LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations J Gao, B Chen, X Zhao, W Liu, X Li, Y Wang, W Wang, H Guo, R Tang THE WEB CONFERENCE 2025, 0 | | |
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