| A Simple Convolutional Generative Network for Next Item Recommendation F Yuan, A Karatzoglou, I Arapakis, JM Jose, X He Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 628 | 2019 |
| Adversarial training towards robust multimedia recommender system J Tang, X Du, X He, F Yuan, Q Tian, TS Chua IEEE Transactions on Knowledge and Data Engineering 32 (5), 855-867, 2019 | 198 | 2019 |
| Parameter-efficient transfer from sequential behaviors for user modeling and recommendation F Yuan, X He, A Karatzoglou, L Zhang Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 176 | 2020 |
| Where to go next for recommender systems? id-vs. modality-based recommender models revisited Z Yuan, F Yuan, Y Song, Y Li, J Fu, F Yang, Y Pan, Y Ni Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 155 | 2023 |
| Lambdafm: learning optimal ranking with factorization machines using lambda surrogates F Yuan, G Guo, JM Jose, L Chen, H Yu, W Zhang Proceedings of the 25th ACM international on conference on information and …, 2016 | 123 | 2016 |
| Future data helps training: Modeling future contexts for session-based recommendation F Yuan, X He, H Jiang, G Guo, J Xiong, Z Xu, Y Xiong Proceedings of The Web Conference 2020, 303-313, 2020 | 116 | 2020 |
| Saprot: Protein language modeling with structure-aware vocabulary J Su, C Han, Y Zhou, J Shan, X Zhou, F Yuan ICLR 2024 Conference, 2023.10. 01.560349, 2023 | 103* | 2023 |
| One Person, One Model, One World: Learning Continual User Representation without Forgetting F Yuan, G Zhang, A Karatzoglou, J Jose, B Kong, Y Li The 44th International ACM SIGIR Conference on Research and Development in …, 2021 | 73 | 2021 |
| Exploring the upper limits of text-based collaborative filtering using large language models: Discoveries and insights R Li, W Deng, Y Cheng, Z Yuan, J Zhang, F Yuan arXiv preprint arXiv:2305.11700, 2023 | 63 | 2023 |
| Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems G Yuan, F Yuan, Y Li, B Kong, S Li, L Chen, M Yang, C Yu, B Hu, Z Li, ... 36th Conference on Neural Information Processing Systems (NeurIPS 2022 …, 2022 | 63* | 2022 |
| Joint geo-spatial preference and pairwise ranking for point-of-interest recommendation F Yuan, JM Jose, G Guo, L Chen, H Yu, RS Alkhawaldeh 2016 IEEE 28Th international conference on tools with artificial …, 2016 | 62 | 2016 |
| TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback J Wang, F Yuan, M Cheng, JM Jose, C Yu, B Kong, X He, Z Wang, B Hu, ... arXiv preprint arXiv:2206.06190, 2022 | 58 | 2022 |
| A generic network compression framework for sequential recommender systems Y Sun, F Yuan, M Yang, G Wei, Z Zhao, D Liu Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 57 | 2020 |
| Exploring evolution-aware & -free protein language models as protein function predictors M Hu, F Yuan, KK Yang, F Ju, J Su, H Wang, F Yang, Q Ding NeurIPS2022, 2022 | 51 | 2022 |
| Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights J Fu, F Yuan, Y Song, Z Yuan, M Cheng, S Cheng, J Zhang, J Wang, ... WSDM2024, 2023 | 50 | 2023 |
| Learning transferable user representations with sequential behaviors via contrastive pre-training M Cheng, F Yuan, Q Liu, X Xin, E Chen 2021 IEEE International Conference on Data Mining (ICDM), 51-60, 2021 | 48 | 2021 |
| A semantic graph based topic model for question retrieval in community question answering L Chen, JM Jose, H Yu, F Yuan, D Zhang Proceedings of the ninth ACM international conference on web search and data …, 2016 | 45 | 2016 |
| Improving negative sampling for word representation using self-embedded features L Chen, F Yuan, JM Jose, W Zhang Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 44 | 2018 |
| BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation F Yuan, G Guo, JM Jose, L Chen, H Yu, W Zhang Proceedings of the 22Nd International Conference on Intelligent User …, 2017 | 43 | 2017 |
| fBGD: Learning embeddings from positive unlabeled data with BGD F Yuan, X Xin, X He, G Guo, W Zhang, C Tat-Seng, JM Jose | 40 | 2018 |
Joemon JoseProfessor of Computer Science, University of GlasgowAdresse e-mail validée de glasgow.ac.uk
