Stochastic deep gaussian processes over graphs N Li*, W Li*, J Sun, Y Gao, Y Jiang, ST Xia Advances in Neural Information Processing Systems 33, 5875-5886, 2020 | 15 | 2020 |
Vertical semi-federated learning for efficient online advertising W Li, Q Xia, H Cheng, K Xue, ST Xia IJCAI 2023 Workshop on Trustworthy Federated Learning (FL-IJCAI23), 2022 | 9 | 2022 |
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer W Li, Q Xia, J Deng, H Cheng, J Liu, K Xue, Y Cheng, ST Xia IJCAI 2022 Workshop on Trustworthy Federated Learning (FL-IJCAI22), 2022 | 7 | 2022 |
A Game-theoretic Framework for Federated Learning X Zhang, L Fan, S Wang, W Li, K Chen, Q Yang arXiv preprint arXiv:2304.05836, 2023 | 3 | 2023 |
Deep Dirichlet Process Mixture Models N Li*, W Li*, Y Jiang, ST Xia the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), 2022 | 3 | 2022 |
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting W Li, X Yang, X Tang, S Xia 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
Theoretically Principled Federated Learning for Balancing Privacy and Utility X Zhang, W Li, K Chen, S Xia, Q Yang arXiv preprint arXiv:2305.15148, 2023 | 2 | 2023 |
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression N Li, Y Gao, W Li, Y Jiang, ST Xia IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 2 | 2021 |
ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit W Li, Z Wang, J Wang, ST Xia, J Zhu, M Chen, J Fan, J Cheng, J Lei SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on …, 2024 | | 2024 |
Node-level Graph Regression with Deep Gaussian Process Models N Li, W Li, Y Gao, Y Li, J Bao, EE Kuruoğlu, Y Jiang, ST Xia IEEE Transactions on Artificial Intelligence, 2023 | | 2023 |
Retrieval-Augmented Vertical Federated Learning for Recommender System W Li, Z Wang, J Zhang, C Song, ST Xia, J Zhu, M Chen, J Fan, J Cheng, ... FL-SIGIR '23: First Federated Learning workshop on the 46th International …, 2023 | | 2023 |