| Sample-level data selection for federated learning A Li, L Zhang, J Tan, Y Qin, J Wang, XY Li IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 108 | 2021 |
| Federated graph neural networks: Overview, techniques, and challenges R Liu, P Xing, Z Deng, A Li, C Guan, H Yu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 86 | 2024 |
| Privacy-preserving efficient federated-learning model debugging A Li, L Zhang, J Wang, F Han, XY Li IEEE Transactions on Parallel and Distributed Systems 33 (10), 2291-2303, 2021 | 47 | 2021 |
| Efficient federated-learning model debugging A Li, L Zhang, J Wang, J Tan, F Han, Y Qin, NM Freris, XY Li 2021 IEEE 37th International Conference on Data Engineering (ICDE), 372-383, 2021 | 37 | 2021 |
| FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning A Li, H Peng, L Zhang, J Huang, Q Guo, H Yu, Y Liu IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 28 | 2023 |
| Efficient participant contribution evaluation for horizontal and vertical federated learning J Wang, L Zhang, A Li, X You, H Cheng 2022 IEEE 38th International Conference on Data Engineering (ICDE), 911-923, 2022 | 25 | 2022 |
| Appdna: App behavior profiling via graph-based deep learning S Xue, L Zhang, A Li, XY Li, C Ruan, W Huang IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 1475-1483, 2018 | 18 | 2018 |
| Residue-based label protection mechanisms in vertical logistic regression J Tan, L Zhang, Y Liu, A Li, Y Wu 2022 8th International Conference on Big Data Computing and Communications …, 2022 | 16 | 2022 |
| TODQA: Efficient task-oriented data quality assessment A Li, L Zhang, J Qian, X Xiao, XY Li, Y Xie 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN …, 2019 | 16 | 2019 |
| Federated iot interaction vulnerability analysis G Wang, H Guo, A Li, X Liu, Q Yan 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1517-1530, 2023 | 13 | 2023 |
| Towards interpretable federated learning A Li, R Liu, M Hu, LA Tuan, H Yu arXiv preprint arXiv:2302.13473, 2023 | 11 | 2023 |
| GFL: Federated learning on non-IID data via privacy-preserving synthetic data Y Cheng, L Zhang, A Li 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | 9 | 2023 |
| Subnetwork-lossless robust watermarking for hostile theft attacks in deep transfer learning models J Jia, Y Wu, A Li, S Ma, Y Liu IEEE transactions on dependable and secure computing, 2022 | 9 | 2022 |
| Efficient and privacy-preserving feature importance-based vertical federated learning A Li, J Huang, J Jia, H Peng, L Zhang, LA Tuan, H Yu, XY Li IEEE Transactions on Mobile Computing, 2023 | 7 | 2023 |
| Appdna: Profiling app behavior via deep-learning function call graphs A Li, S Xue, XY Li, L Zhang, J Qian IEEE Transactions on Emerging Topics in Computing 10 (1), 414-427, 2020 | 7 | 2020 |
| Ieye: Personalized image privacy detection R Jiao, L Zhang, A Li 2020 6th International Conference on Big Data Computing and Communications …, 2020 | 7 | 2020 |
| FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation M Hu, P Zhou, Z Yue, Z Ling, Y Huang, A Li, Y Liu, X Lian, M Chen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2137-2150, 2024 | 6 | 2024 |
| FedMut: Generalized Federated Learning via Stochastic Mutation M Hu, Y Cao, A Li, Z Li, C Liu, T Li, M Chen, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12528 …, 2024 | 6 | 2024 |
| Aggregating intrinsic information to enhance BCI performance through federated learning R Liu, Y Chen, A Li, Y Ding, H Yu, C Guan Neural Networks 172, 106100, 2024 | 5 | 2024 |
| An Empirical Study of Automated Vulnerability Localization with Large Language Models J Zhang, C Wang, A Li, W Sun, C Zhang, W Ma, Y Liu arXiv preprint arXiv:2404.00287, 2024 | 5 | 2024 |
lan zhangUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
