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Muchao Ye
Muchao Ye
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Zitiert von
Zitiert von
Jahr
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
1602019
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
1362020
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
422020
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
412021
Writing by memorizing: Hierarchical retrieval-based medical report generation
X Yang, M Ye, Q You, F Ma
arXiv preprint arXiv:2106.06471, 2021
242021
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
212022
Fedsemi: An adaptive federated semi-supervised learning framework
Z Long, L Che, Y Wang, M Ye, J Luo, J Wu, H Xiao, F Ma
arXiv preprint arXiv:2012.03292 24, 2020
192020
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
162020
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
142021
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
112021
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
102022
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
52022
A benchmark dataset for understandable medical language translation
J Luo, Z Zheng, H Ye, M Ye, Y Wang, Q You, C Xiao, F Ma
arXiv preprint arXiv:2012.02420, 2020
52020
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
42023
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
42022
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
32022
Benchmarking automated clinical language simplification: Dataset, algorithm, and evaluation
J Luo, Z Zheng, H Ye, M Ye, Y Wang, Q You, C Xiao, F Ma
arXiv preprint arXiv:2012.02420, 2020
32020
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
12023
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
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
2024
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