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Conference and Workshop Papers
- 2024
[c18]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI 2024: 6755-6763- [c17]Muchao Ye, Xiang Xu, Qin Zhang, Jonathan Wu:
Sharpness-Aware Optimization for Real-World Adversarial Attacks for Diverse Compute Platforms with Enhanced Transferability. CVPR Workshops 2024: 2937-2946 - [c16]Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma:
Recent Advances in Predictive Modeling with Electronic Health Records. IJCAI 2024: 8272-8280 - 2023
- [c15]Muchao Ye
, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma:
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD 2023: 3093-3104 - [c14]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS 2023 - [c13]Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma:
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. NeurIPS 2023 - 2022
- [c12]Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma:
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. AAAI 2022: 3877-3884 - [c11]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM 2022: 1777-1780 - [c10]Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma:
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM 2022: 81-90 - [c9]Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma:
LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. KDD 2022: 2307-2315 - [c8]Muchao Ye, Quanzeng You, Fenglong Ma:
QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog. WACV 2022: 2503-2511 - 2021
- [c7]Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma:
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. ACL/IJCNLP (1) 2021: 5000-5009 - [c6]Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma:
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM 2021: 2414-2423 - [c5]Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun:
Advances in Mining Heterogeneous Healthcare Data. KDD 2021: 4050-4051 - [c4]Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma:
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW 2021: 1397-1409 - 2020
- [c3]Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma:
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. CIKM 2020: 1753-1762 - [c2]Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma:
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD 2020: 647-656 - 2019
- [c1]Muchao Ye, Xiaojiang Peng, Weihao Gan, Wei Wu, Yu Qiao:
AnoPCN: Video Anomaly Detection via Deep Predictive Coding Network. ACM Multimedia 2019: 1805-1813
Informal and Other Publications
- 2024
- [i9]Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma:
Recent Advances in Predictive Modeling with Electronic Health Records. CoRR abs/2402.01077 (2024) - [i8]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR abs/2402.11083 (2024) - [i7]Xiaoqun Liu, Jiacheng Liang, Muchao Ye, Zhaohan Xi:
Robustifying Safety-Aligned Large Language Models through Clean Data Curation. CoRR abs/2405.19358 (2024) - [i6]Xiaoqun Liu, Jiacheng Liang, Luoxi Tang, Chenyu You, Muchao Ye, Zhaohan Xi:
Buckle Up: Robustifying LLMs at Every Customization Stage via Data Curation. CoRR abs/2410.02220 (2024) - 2023
- [i5]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR abs/2310.04655 (2023) - 2021
- [i4]Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma:
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. CoRR abs/2106.06471 (2021) - [i3]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR abs/2112.06063 (2021) - 2020
- [i2]Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma:
A Benchmark Dataset for Understandable Medical Language Translation. CoRR abs/2012.02420 (2020) - [i1]Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma:
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. CoRR abs/2012.03292 (2020)
Coauthor Index
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