| Representation learning for treatment effect estimation from observational data L Yao, S Li, Y Li, M Huai, J Gao, A Zhang Advances in neural information processing systems 31, 2018 | 359 | 2018 |
| Deep patient similarity learning for personalized healthcare Q Suo, F Ma, Y Yuan, M Huai, W Zhong, J Gao, A Zhang IEEE transactions on nanobioscience 17 (3), 219-227, 2018 | 157 | 2018 |
| Personalized disease prediction using a CNN-based similarity learning method Q Suo, F Ma, Y Yuan, M Huai, W Zhong, A Zhang, J Gao 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 109 | 2017 |
| Towards data poisoning attacks in crowd sensing systems C Miao, Q Li, H Xiao, W Jiang, M Huai, L Su Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc …, 2018 | 99 | 2018 |
| Attack under disguise: An intelligent data poisoning attack mechanism in crowdsourcing C Miao, Q Li, L Su, M Huai, W Jiang, J Gao Proceedings of the 2018 World Wide Web Conference, 13-22, 2018 | 72 | 2018 |
| Adversarial attacks against lidar semantic segmentation in autonomous driving Y Zhu, C Miao, F Hajiaghajani, M Huai, L Su, C Qiao Proceedings of the 19th ACM conference on embedded networked sensor systems …, 2021 | 62 | 2021 |
| Inductive graph unlearning CL Wang, M Huai, D Wang 32nd USENIX Security Symposium (USENIX Security 23), 3205-3222, 2023 | 39 | 2023 |
| Privacy-preserving naive bayes classification M Huai, L Huang, W Yang, L Li, M Qi Knowledge Science, Engineering and Management: 8th International Conference …, 2015 | 35 | 2015 |
| Pairwise learning with differential privacy guarantees M Huai, D Wang, C Miao, J Xu, A Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 694-701, 2020 | 33 | 2020 |
| EC-GAN: Inferring brain effective connectivity via generative adversarial networks J Liu, J Ji, G Xun, L Yao, M Huai, A Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4852-4859, 2020 | 32 | 2020 |
| ACE: Adaptively similarity-preserved representation learning for individual treatment effect estimation L Yao, S Li, Y Li, M Huai, J Gao, A Zhang 2019 IEEE International Conference on Data Mining (ICDM), 1432-1437, 2019 | 32 | 2019 |
| Malicious attacks against deep reinforcement learning interpretations M Huai, J Sun, R Cai, L Yao, A Zhang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 31 | 2020 |
| Multi-task sparse metric learning for monitoring patient similarity progression Q Suo, W Zhong, F Ma, Y Ye, M Huai, A Zhang 2018 IEEE International Conference on Data Mining (ICDM), 477-486, 2018 | 31 | 2018 |
| Uncorrelated patient similarity learning M Huai, C Miao, Q Suo, Y Li, J Gao, A Zhang Proceedings of the 2018 SIAM International Conference on Data Mining, 270-278, 2018 | 29 | 2018 |
| Dtec: Distance transformation based early time series classification L Yao, Y Li, Y Li, H Zhang, M Huai, J Gao, A Zhang Proceedings of the 2019 SIAM International Conference on Data Mining, 486-494, 2019 | 28 | 2019 |
| Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. M Huai, H Xue, C Miao, L Yao, L Su, C Chen, A Zhang IJCAI, 2535-2541, 2019 | 26 | 2019 |
| Backdoor attacks via machine unlearning Z Liu, T Wang, M Huai, C Miao Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14115 …, 2024 | 21 | 2024 |
| Metric learning from probabilistic labels M Huai, C Miao, Y Li, Q Suo, L Su, A Zhang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 21 | 2018 |
| White-box membership inference attacks against diffusion models Y Pang, T Wang, X Kang, M Huai, Y Zhang arXiv preprint arXiv:2308.06405, 2023 | 20 | 2023 |
| 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 |