About Me
Hi! I am Weimin Lyu, a 4th year Ph.D. candidate in Computer Science at Stony Brook University, advised by Prof. Chao Chen. I also have the privilege of collaborating with esteemed professors: Haibin Ling, Fusheng Wang, and Tengfei Ma.
Research Interests
My research mainly focuses on Trustworthy AI, especially backdoor attacks/defenses. My goal is to enhance the security of Deep Learning-based models throughout their entire life cycle. The application areas include different tasks across Natural Language Processing and Computer Vision. Experience on explainability in Healthcare and clinical decision making with EHR. Recently I focus on Vision-Language Understanding and Large Language Models.
News
- 2024-03: One paper is accepted by NAACL 2024! We introduce a task-agnostic metod for textural backdoor detection.
- 2023-10: TAL is accepted by EMNLP 2023!
- 2023-03: Two papers are accepted by ICLR 2023 Workshop on BANDS!
- 2022-10: Paper “An Integrated LSTM-HeteroRGNN Model for Interpretable Opioid Overdose Risk Prediction” is accepted by Artificial Intelligence in Medicine!
- 2022-06: One paper is nominated as the Best Student Paper by AMIA Annual Symposium 2022! We propose a multimodal transformer to fuse clinical notes and traditional EHR data for interpretable mortality prediction. AMIA is the world’s premier meeting for research and practice of biomedical and health informatics.
- 2022-04: Paper “A Study of the Attention Abnormality in Trojaned BERTs” is accepted by NAACL 2022!
- 2020-09: Start my Computer Science Ph.D. at Stony Brook University!
Selected Publications
Full publications can be found in Google Scholar.
Preprint
Attention Hijacking in Trojan Transformers
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen
Tech Report
[arXiv]
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen
Tech Report
[arXiv]
Conference/Workshop/Journal
Task-Agnostic Detector for Insertion-Based Backdoor Attacks
Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), 2024
[NAACL]
Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), 2024
[NAACL]
Attention-Enhancing Backdoor Attacks Against BERT-based Models
Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen
The 2023 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2023 (A short version is accepted as Oral at ICLR 2023 Workshop on BANDS)
[EMNLP][Code]
Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen
The 2023 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2023 (A short version is accepted as Oral at ICLR 2023 Workshop on BANDS)
[EMNLP][Code]
An Integrated LSTM-HeteroRGNN Model for Interpretable Opioid Overdose Risk Prediction
Xinyu Dong, Rachel Wong, Weimin Lyu, Kayley Abell-Hart, Janos G Hajagos, Richard N Rosenthal, Chao Chen, Fusheng Wang
Artificial Intelligence in Medicine (AIIM), 2022
[AIIM]
Xinyu Dong, Rachel Wong, Weimin Lyu, Kayley Abell-Hart, Janos G Hajagos, Richard N Rosenthal, Chao Chen, Fusheng Wang
Artificial Intelligence in Medicine (AIIM), 2022
[AIIM]
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng , Kayley Abell-Hart, Fusheng Wang, Chao Chen
American Medical Informatics Association Annual Symposium (AMIA Annual Symposium), 2022 (Student Paper Finalist-Equal to Best Student Paper Nomination)
[AMIA][Code]
Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng , Kayley Abell-Hart, Fusheng Wang, Chao Chen
American Medical Informatics Association Annual Symposium (AMIA Annual Symposium), 2022 (Student Paper Finalist-Equal to Best Student Paper Nomination)
[AMIA][Code]
