| Anopcn: Video anomaly detection via deep predictive coding network M Ye, X Peng, W Gan, W Wu, Y Qiao Proceedings of the 27th ACM International Conference on Multimedia, 1805-1813, 2019 | 203 | 2019 |
| Hitanet: Hierarchical time-aware attention networks for risk prediction on electronic health records J Luo, M Ye, C Xiao, F Ma Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 188 | 2020 |
| Medpath: Augmenting health risk prediction via medical knowledge paths M Ye, S Cui, Y Wang, J Luo, C Xiao, F Ma Proceedings of the Web Conference 2021, 1397-1409, 2021 | 53 | 2021 |
| Lsan: Modeling long-term dependencies and short-term correlations with hierarchical attention for risk prediction M Ye, J Luo, C Xiao, F Ma Proceedings of the 29th ACM International Conference on Information …, 2020 | 46 | 2020 |
| FedSiam: Towards adaptive federated semi-supervised learning Z Long, L Che, Y Wang, M Ye, J Luo, J Wu, H Xiao, F Ma arXiv preprint arXiv:2012.03292, 2020 | 40* | 2020 |
| TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text M Ye, C Miao, T Wang, F Ma Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3877-3884, 2022 | 38 | 2022 |
| Writing by memorizing: Hierarchical retrieval-based medical report generation X Yang, M Ye, Q You, F Ma arXiv preprint arXiv:2106.06471, 2021 | 37 | 2021 |
| VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models Z Yin, M Ye, T Zhang, T Du, J Zhu, H Liu, J Chen, T Wang, F Ma arXiv preprint arXiv:2310.04655, 2023 | 27* | 2023 |
| Medretriever: Target-driven interpretable health risk prediction via retrieving unstructured medical text M Ye, S Cui, Y Wang, J Luo, C Xiao, F Ma Proceedings of the 30th ACM International Conference on Information …, 2021 | 22 | 2021 |
| LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization M Ye, J Chen, C Miao, T Wang, F Ma Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 17 | 2022 |
| Advances in mining heterogeneous healthcare data F Ma, M Ye, J Luo, C Xiao, J Sun Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 12 | 2021 |
| MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data S Cui, J Luo, M Ye, J Wang, T Wang, F Ma 2022 IEEE International Conference on Data Mining (ICDM), 81-90, 2022 | 9 | 2022 |
| QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog M Ye, Q You, F Ma Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 8 | 2022 |
| MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare M Ye, J Luo, G Zheng, C Xiao, H Xiao, T Wang, F Ma 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 5 | 2022 |
| PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text M Ye, J Chen, C Miao, H Liu, T Wang, F Ma Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Recent Advances in Predictive Modeling with Electronic Health Records J Wang, J Luo, M Ye, X Wang, Y Zhong, A Chang, G Huang, Z Yin, C Xiao, ... arXiv preprint arXiv:2402.01077, 2024 | 3 | 2024 |
| VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models Z Yin, M Ye, T Zhang, J Wang, H Liu, J Chen, T Wang, F Ma arXiv preprint arXiv:2402.11083, 2024 | 1 | 2024 |
| UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation M Ye, Z Yin, T Zhang, T Du, J Chen, T Wang, F Ma Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Sharpness-aware optimization for real-world adversarial attacks for diverse compute platforms with enhanced transferability M Ye, X Xu, Q Zhang, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Fenglong MaPennsylvania State UniversityVerified email at psu.edu
