Fajie Yuan
Fajie Yuan
Westlake University
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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
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
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
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
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
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
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
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
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
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
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
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
fBGD: Learning embeddings from positive unlabeled data with BGD
F Yuan, X Xin, X He, G Guo, W Zhang, C Tat-Seng, JM Jose
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
Modeling embedding dimension correlations via convolutional neural collaborative filtering
X Du, X He, F Yuan, J Tang, Z Qin, TS Chua
ACM Transactions on Information Systems (TOIS) 37 (4), 1-22, 2019
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
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
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
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
Batch is not heavy: Learning word representations from all samples
X Xin, F Yuan, X He, JM Jose
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
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