| Generating sequential electronic health records using dual adversarial autoencoder D Lee, H Yu, X Jiang, D Rogith, M Gudala, M Tejani, Q Zhang, L Xiong Journal of the American Medical Informatics Association 27 (9), 1411-1419, 2020 | 60 | 2020 |
| Privacy-preserving tensor factorization for collaborative health data analysis J Ma, Q Zhang, J Lou, JC Ho, L Xiong, X Jiang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 54 | 2019 |
| Communication efficient federated generalized tensor factorization for collaborative health data analytics J Ma, Q Zhang, J Lou, L Xiong, JC Ho In Proceedings of the ACM Web Conference 2021 (WWW), 171-182, 2021 | 23 | 2021 |
| Broadening differential privacy for deep learning against model inversion attacks Q Zhang, J Ma, Y Xiao, J Lou, L Xiong 2020 IEEE International Conference on Big Data, 1061-1070, 2020 | 20 | 2020 |
| Predict or draw blood: An integrated method to reduce lab tests L Yu, Q Zhang, EV Bernstam, X Jiang Journal of Biomedical Informatics 104, 103394, 2020 | 15 | 2020 |
| Private stochastic non-convex optimization with improved utility rates Q Zhang, J Ma, J Lou, L Xiong Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 12 | 2021 |
| Temporal network embedding via tensor factorization J Ma, Q Zhang, J Lou, L Xiong, JC Ho Proceedings of the 30th ACM International Conference on Information …, 2021 | 9 | 2021 |
| Towards training robust private aggregation of teacher ensembles under noisy labels Q Zhang, J Ma, J Lou, L Xiong, X Jiang 2020 IEEE international conference on Big Data, 1103-1110, 2020 | 8 | 2020 |
| Spatio-temporal tensor sketching via adaptive sampling J Ma, Q Zhang, JC Ho, L Xiong European Conference on Machine Learning and Principles and Practice of …, 2020 | 7 | 2020 |
| DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy Q Zhang, H Lee, J Ma, J Lou, C Yang, L Xiong In Proceedings of the ACM Web Conference 2024 (WWW), 2024 | 6* | 2024 |
| Eclipse: Generalizing knn and skyline J Liu, L Xiong, Q Zhang, J Pei, J Luo 2021 IEEE 37th International Conference on Data Engineering (ICDE), 972-983, 2021 | 5 | 2021 |
| Contrastive Unlearning: A Contrastive Approach to Machine Unlearning H Lee, Q Zhang, C Yang, J Lou, L Xiong arXiv preprint arXiv:2401.10458, 2024 | 3 | 2024 |
| Communication Efficient Tensor Factorization for Decentralized Healthcare Networks J Ma, Q Zhang, J Lou, L Xiong, S Bhavani, JC Ho 21st IEEE International Conference on Data Mining (ICDM), 2021 | 2 | 2021 |
| Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels Q Zhang, J Ma, J Lou, L Xiong, X Jiang arXiv preprint arXiv:2211.01628, 2022 | 1 | 2022 |
| Eclipse: Practicability Beyond kNN and Skyline J Liu, L Xiong, Q Zhang, J Pei, J Luo arXiv preprint arXiv:1707.01223, 2017 | 1 | 2017 |
Li XiongSamuel Dobbs Professor, Computer Science, Biomedical Informatics, Emory University在 emory.edu 的电子邮件经过验证
