| Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer Z Fan, Z Liu, J Zhang, Y Xiong, L Zheng, PS Yu arXiv preprint arXiv:2108.06625, 2021 | 151 | 2021 |
| Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer Z Fan*, Z Liu*, Y Wang, PS Yu Proceedings of the 44nd International ACM SIGIR Conference on Research and …, 2021 | 125 | 2021 |
| Federated social recommendation with graph neural network Z Liu, L Yang, Z Fan, H Peng, PS Yu ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-24, 2022 | 115 | 2022 |
| Sequential Recommendation via Stochastic Self-Attention Z Fan, Z Liu, A Wang, Z Nazari, L Zheng, H Peng, PS Yu TheWebConf 2022, 2022 | 99 | 2022 |
| DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN Y Wang, Z Liu, Z Fan, L Sun, PS Yu arXiv preprint arXiv:2108.11883, 2021 | 55 | 2021 |
| Basket recommendation with multi-intent translation graph neural network Z Liu, X Li, Z Fan, S Guo, K Achan, SY Philip 2020 IEEE International Conference on Big Data (Big Data), 728-737, 2020 | 55 | 2020 |
| Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network L Yang, Z Liu, Y Wang, C Wang, Z Fan, PS Yu TheWebConf 2022, 2022 | 39 | 2022 |
| Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation Z Fan, Z Liu, L Zheng, S Wang, PS Yu arXiv preprint arXiv:2106.06165, 2021 | 35 | 2021 |
| Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation L Zheng, Z Fan, CT Lu, J Zhang, PS Yu Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 19 | 2019 |
| Graph Collaborative Signals Denoising and Augmentation for Recommendation Z Fan, K Xu, Z Dong, H Peng, J Zhang, PS Yu SIGIR 2023, 2023 | 16 | 2023 |
| Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training Z Fan, Z Liu, S Heinecke, J Zhang, H Wang, C Xiong, PS Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 9 | 2023 |
| Mutual Wasserstein discrepancy minimization for sequential recommendation Z Fan, Z Liu, H Peng, PS Yu Proceedings of the ACM Web Conference 2023, 1375-1385, 2023 | 8 | 2023 |
| Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering X Ning, Z Fan, E Burgun, Z Ren, T Schleyer Plos one 16 (8), e0255467, 2021 | 7 | 2021 |
| Discriminative model for google host load prediction with rich feature set P Huang, D Ye, Z Fan, P Huang, X Li 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015 | 7 | 2015 |
| Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer Z Fan, Z Liu, C Wang, P Huang, H Peng, SY Philip 2022 IEEE International Conference on Big Data (Big Data), 525-534, 2022 | 6 | 2022 |
| Personalized federated domain adaptation for item-to-item recommendation Z Fan, H Ding, A Deoras, TN Hoang Uncertainty in Artificial Intelligence, 560-570, 2023 | 3 | 2023 |
| Empirical evaluation of contextual combinations in recommendation system ZW Fan, YZ Peng, PJ Huang, PY Lin, YK Chen, ZF Chen, KY Li 2016 International Conference on Machine Learning and Cybernetics (ICMLC) 2 …, 2016 | 3 | 2016 |
| A feature generation framework for google trace analysis ZW Fan, PJ Huang, PS Huang, LX Chen, YQ Xiao, MX Huo, Y Liang 2015 International Conference on Machine Learning and Cybernetics (ICMLC) 1 …, 2015 | 3 | 2015 |
| Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs B Rahdari, H Ding, Z Fan, Y Ma, Z Chen, A Deoras, B Kveton arXiv preprint arXiv:2312.14345, 2023 | 2 | 2023 |
| Episodes Discovery Recommendation with Multi-Source Augmentations Z Fan, A Wang, Z Nazari arXiv preprint arXiv:2301.01737, 2023 | 2 | 2023 |
