| Federated unlearning for on-device recommendation W Yuan, H Yin, F Wu, S Zhang, T He, H Wang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 49 | 2023 |
| CIRCLE: continual repair across programming languages W Yuan, Q Zhang, T He, C Fang, NQV Hung, X Hao, H Yin Proceedings of the 31st ACM SIGSOFT international symposium on software …, 2022 | 38 | 2022 |
| Interaction-level membership inference attack against federated recommender systems W Yuan, C Yang, QVH Nguyen, L Cui, T He, H Yin Proceedings of the ACM Web Conference 2023, 2023 | 35 | 2023 |
| Comprehensive privacy analysis on federated recommender system against attribute inference attacks S Zhang, W Yuan, H Yin IEEE Transactions on Knowledge and Data Engineering, 2023 | 34 | 2023 |
| Kga: A general machine unlearning framework based on knowledge gap alignment L Wang, T Chen, W Yuan, X Zeng, KF Wong, H Yin Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 20 | 2023 |
| Manipulating federated recommender systems: Poisoning with synthetic users and its countermeasures W Yuan, QVH Nguyen, T He, L Chen, H Yin Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 18 | 2023 |
| On-Device Recommender Systems: A Comprehensive Survey H Yin, L Qu, T Chen, W Yuan, R Zheng, J Long, X Xia, Y Shi, C Zhang arXiv preprint arXiv:2401.11441, 2024 | 10 | 2024 |
| Improving neural question generation using deep linguistic representation W Yuan, T He, X Dai Proceedings of the Web Conference 2021, 3489-3500, 2021 | 10 | 2021 |
| HeteFedRec: Federated Recommender Systems with Model Heterogeneity W Yuan, L Qu, L Cui, Y Tong, X Zhou, H Yin arXiv preprint arXiv:2307.12810, 2023 | 9 | 2023 |
| Crowdsourced requirements generation for automatic testing via knowledge graph C Guo, T He, W Yuan, Y Guo, R Hao Proceedings of the 29th ACM SIGSOFT International Symposium on Software …, 2020 | 7 | 2020 |
| Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures W Yuan, S Yuan, C Yang, QVH Nguyen, H Yin ACM Transactions on Information Systems, 2023 | 6 | 2023 |
| Unified question generation with continual lifelong learning W Yuan, H Yin, T He, T Chen, Q Wang, L Cui Proceedings of the ACM Web Conference 2022, 871-881, 2022 | 6 | 2022 |
| Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation L Qu, W Yuan, R Zheng, L Cui, Y Shi, H Yin arXiv preprint arXiv:2401.17630, 2024 | 4 | 2024 |
| Hide Your Model: A Parameter Transmission-free Federated Recommender System W Yuan, C Yang, L Qu, QVH Nguyen, J Li, H Yin arXiv preprint arXiv:2311.14968, 2023 | 2 | 2023 |
| N2one: Identifying coreference object among user generated content with siamese network W Yuan, P Wang, M Yuan, Y Guo, T He Web Information Systems and Applications: 17th International Conference …, 2020 | 2 | 2020 |
| Robust Federated Contrastive Recommender System against Model Poisoning Attack W Yuan, C Yang, L Qu, G Ye, QVH Nguyen, H Yin arXiv preprint arXiv:2403.20107, 2024 | 1 | 2024 |
| Joint semantic and structural representation learning for enhancing user preference modelling X Ren, W Yuan, T Chen, C Yang, QVH Nguyen, H Yin arXiv preprint arXiv:2304.12083, 2023 | 1 | 2023 |
| Mining the software engineering forums: what’s new and what’s left W Yuan, P Wang, Y Guo, L He, T He Web Information Systems and Applications: 17th International Conference …, 2020 | 1 | 2020 |
| Automated Similarity Metric Generation for Recommendation L Qu, Y Lin, W Yuan, X Wan, Y Shi, H Yin arXiv preprint arXiv:2404.11818, 2024 | | 2024 |
| Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion L Chen, W Yuan, T Chen, QVH Nguyen, L Cui, H Yin arXiv preprint arXiv:2312.15826, 2023 | | 2023 |
