| 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 | 115 | 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 | 95 | 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 | 74 | 2022 |
| Sequential Recommendation via Stochastic Self-Attention Z Fan, Z Liu, A Wang, Z Nazari, L Zheng, H Peng, PS Yu TheWebConf 2022, 2022 | 72 | 2022 |
| 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 | 46 | 2020 |
| 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 | 38 | 2021 |
| 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 | 32 | 2021 |
| 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 | 26 | 2022 |
| 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 | 18 | 2019 |
| 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 |
| 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 | 6 | 2021 |
| Graph Collaborative Signals Denoising and Augmentation for Recommendation Z Fan, K Xu, Z Dong, H Peng, J Zhang, PS Yu SIGIR 2023, 2023 | 4 | 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 |
| 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 arXiv preprint arXiv:2305.07633, 2023 | 2 | 2023 |
| Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation Z Fan, Z Liu, H Peng, PS Yu arXiv preprint arXiv:2301.12197, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| Modeling the task of Google MapReduce workload X Lin, P Lin, P Huang, L Chen, Z Fan, P Huang 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015 | 2 | 2015 |
| Personalized Federated Domain Adaptation for Item-to-Item Recommendation Z Fan, H Ding, A Deoras, TN Hoang arXiv preprint arXiv:2306.03191, 2023 | 1 | 2023 |
| Episodes Discovery Recommendation with Multi-Source Augmentations Z Fan, A Wang, Z Nazari arXiv preprint arXiv:2301.01737, 2023 | 1 | 2023 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
