Utility optimization of federated learning with differential privacy J Zhao, K Mao, C Huang, Y Zeng Discrete Dynamics in Nature and Society 2021 (1), 3344862, 2021 | 21 | 2021 |
Risk-aware individual trajectory data publishing with differential privacy J Zhao, J Mei, S Matwin, Y Su, Y Yang IEEE Access 9, 7421-7438, 2020 | 15 | 2020 |
Privacy-enhanced federated learning: A restrictively self-sampled and data-perturbed local differential privacy method J Zhao, M Yang, R Zhang, W Song, J Zheng, J Feng, S Matwin Electronics 11 (23), 4007, 2022 | 12 | 2022 |
Local differentially private federated learning with homomorphic encryption J Zhao, C Huang, W Wang, R Xie, R Dong, S Matwin The Journal of Supercomputing 79 (17), 19365-19395, 2023 | 6 | 2023 |
Vertically federated learning with correlated differential privacy J Zhao, J Wang, Z Li, W Yuan, S Matwin Electronics 11 (23), 3958, 2022 | 6 | 2022 |
Correlated differential privacy of multiparty data release in machine learning JZ Zhao, XW Wang, KM Mao, CX Huang, YK Su, YC Li Journal of Computer Science and Technology 37 (1), 231-251, 2022 | 6 | 2022 |
Towards unified modeling for positive and negative preferences in sign-aware recommendation Y Liu, Y Dang, Y Liang, Q Liu, G Guo, J Zhao, X Wang arXiv preprint arXiv:2403.08246, 2024 | 3 | 2024 |
Structure Learning Algorithm of Bayesian Networks Based on Markov Blanket J ZHAO, C WU, X WANG, L PEI Journal of Northeastern University (Natural Science) 41 (4), 464, 2020 | 2 | 2020 |
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences Y Dang, Y Liu, E Yang, G Guo, L Jiang, J Zhao, X Wang ACM Transactions on Information Systems 43 (2), 1-25, 2025 | 1 | 2025 |
Augmenting Sequential Recommendation with Balanced Relevance and Diversity Y Dang, J Zhang, Y Liu, E Yang, Y Liang, G Guo, J Zhao, X Wang arXiv preprint arXiv:2412.08300, 2024 | 1 | 2024 |
Repeated Padding as Data Augmentation for Sequential Recommendation Y Dang, Y Liu, E Yang, G Guo, L Jiang, X Wang, J Zhao arXiv e-prints, arXiv: 2403.06372, 2024 | 1 | 2024 |
Research on visualization platform for the production process in generic manufacturing J Zhao, Q Wei, D Wei, P Liu 2012 7th International Conference on Computer Science & Education (ICCSE …, 2012 | 1 | 2012 |
Privacy-preserved federated clustering with Non-IID data via GANs J Zhao, W Wang, J Wang, S Zhang, Z Fan, S Matwin The Journal of Supercomputing 81 (4), 1-37, 2025 | | 2025 |
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product P Lan, H Xu, E Yang, Y Liang, G Guo, J Zhao, X Wang arXiv preprint arXiv:2502.12200, 2025 | | 2025 |
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model C Zhao, E Yang, Y Liang, J Zhao, G Guo, X Wang arXiv preprint arXiv:2501.15555, 2025 | | 2025 |
Data Assetization via Resources-decoupled Federated Learning J Zhao, F Zhu, L He, Z Tang, M Gao, S Yang, G Guo arXiv preprint arXiv:2501.14588, 2025 | | 2025 |
Enhancing HVAC Control Systems Using a Steady Soft Actor–Critic Deep Reinforcement Learning Approach H Sun, Y Hu, J Luo, Q Guo, J Zhao Buildings 15 (4), 644, 2025 | | 2025 |
Self-supervised Hierarchical Representation for Medication Recommendation Y Liang, Y Liu, Y Dang, E Yang, G Guo, W Cai, J Zhao, X Wang arXiv preprint arXiv:2411.03143, 2024 | | 2024 |
Repeated Padding for Sequential Recommendation Y Dang, Y Liu, E Yang, G Guo, L Jiang, X Wang, J Zhao Proceedings of the 18th ACM Conference on Recommender Systems, 497-506, 2024 | | 2024 |
Data Augmentation for Sequential Recommendation: A Survey Y Dang, E Yang, Y Liu, G Guo, L Jiang, J Zhao, X Wang arXiv preprint arXiv:2409.13545, 2024 | | 2024 |