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Weimin Lyu
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A Study of the Attention Abnormality in Trojaned BERTs
W Lyu, S Zheng, T Ma, C Chen
NAACL 2022, 2022
372022
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction
W Lyu, X Dong, R Wong, S Zheng, K Abell-Hart, F Wang, C Chen
AMIA 2022 (Best Student Paper Nomination), 2022
302022
Attention-Enhancing Backdoor Attacks Against BERT-based Models
W Lyu, S Zheng, L Pang, H Ling, C Chen
EMNLP 2023, 2023
242023
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction
X Dong, R Wong, W Lyu, K Abell-Hart, J Deng, Y Liu, JG Hajagos, ...
Artificial intelligence in medicine 135, 102439, 2023
232023
Transfer learning for scientific data chain extraction in small chemical corpus with BERT-CRF model
N Pang, L Qian, W Lyu, JD Yang
BIRNDL@ SIGIR, 2019
232019
Backdoor Attacks Against Transformers with Attention Enhancement
W Lyu, S Zheng, H Ling, C Chen
ICLR 2023 Workshop on Backdoor Attacks and Defenses in Machine Learning (Oral), 2023
162023
Task-Agnostic Detector for Insertion-Based Backdoor Attacks
W Lyu, X Lin, S Zheng, L Pang, H Ling, S Jha, C Chen
NAACL 2024, 2024
112024
CUNY-PKU parser at SemEval-2019 task 1: Cross-lingual semantic parsing with UCCA
W Lyu, S Huang, AR Khan, S Zhang, W Sun, J Xu
ACL 2019, 92-96, 2019
102019
Attention hijacking in trojan transformers
W Lyu, S Zheng, T Ma, H Ling, C Chen
arXiv preprint arXiv:2208.04946, 2022
92022
Using pretraining and text mining methods to automatically extract the chemical scientific data
N Pang, L Qian, W Lyu, JD Yang
Data Technologies and Applications 56 (2), 205-222, 2022
12022
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction
Y Liu, X Dong, W Lyu, RN Rosenthal, R Wong, T Ma, J Kong, F Wang
AMIA Summits on Translational Science Proceedings 2024, 334, 2024
2024
On the Existence of a Trojaned Twin Model
S Zheng, Y Zhang, W Lyu, M Goswami, A Schneider, Y Nevmyvaka, ...
ICLR 2023 Workshop on Backdoor Attacks and Defenses in Machine Learning, 2023
2023
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