| Resource-aware federated learning using knowledge extraction and multi-model fusion S Yu, W Qian, A Jannesari arXiv preprint arXiv:2208.07978, 2022 | 32* | 2022 |
| Towards understanding and enhancing robustness of deep learning models against malicious unlearning attacks W Qian, C Zhao, W Le, M Ma, M Huai Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 20 | 2023 |
| Static and sequential malicious attacks in the context of selective forgetting C Zhao, W Qian, R Ying, M Huai Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Spatl: Salient parameter aggregation and transfer learning for heterogeneous federated learning S Yu, P Nguyen, W Abebe, W Qian, A Anwar, A Jannesari SC22: International Conference for High Performance Computing, Networking …, 2022 | 16 | 2022 |
| Spatl: Salient parameter aggregation and transfer learning for heterogeneous clients in federated learning S Yu, P Nguyen, W Abebe, W Qian, A Anwar, A Jannesari arXiv preprint arXiv:2111.14345, 2021 | 13 | 2021 |
| Patient similarity learning with selective forgetting W Qian, C Zhao, H Shao, M Chen, F Wang, M Huai 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 9 | 2022 |
| Spatl: salient parameter aggregation and transfer learning for heterogeneous federated learning. In 2022 SC22: International Conference for High Performance Computing … S Yu, P Nguyen, W Abebe, W Qian, A Anwar, A Jannesari IEEE Computer Society, 495-508, 2022 | 7 | 2022 |
| Automated Natural Language Explanation of Deep Visual Neurons with Large Models C Zhao, W Qian, Y Shi, M Huai, N Liu arXiv preprint arXiv:2310.10708, 2023 | 6 | 2023 |
| Rethinking Adversarial Robustness in the Context of the Right to be Forgotten C Zhao, W Qian, Y Li, W Li, M Huai Proceedings of the 41st International Conference on Machine Learning, 2024 | 3* | 2024 |
| Data Poisoning Attacks against Conformal Prediction Y Li, A Chen, W Qian, C Zhao, D Lidder, M Huai Proceedings of the 41st International Conference on Machine Learning, 2024 | 2 | 2024 |
| Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction W Qian, C Zhao, Y Li, F Ma, C Zhang, M Huai Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14651 …, 2024 | 2 | 2024 |
| Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten W Qian, A Chen, C Zhao, Y Li, M Huai arXiv preprint arXiv:2405.16798, 2024 | 1 | 2024 |
| Modeling and Understanding Uncertainty in Medical Image Classification A Chen, Y Li, W Qian, K Morse, C Miao, M Huai International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract) C Zhao, W Qian, Y Shi, M Huai, N Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23712 …, 2024 | | 2024 |
