CV

Education

• B.S. in Information Management and Information System, Beijing University of Chemical Technology, 2021
• M.S. in Electronic Information, Xi’an Jiaotong University, 2024

Work experience

• Summer 2023: Intern Student
  • Institute for Medical Engineering & Science (IMES), MIT
  • Duties included: Using deep learning to solve some problems in clinical decision-making.
  • Supervisor: Dr. Li-wei H. Lehman

Publications

1. Wu, F., Zhao, G., Qian, X., & Lehman, L. W. H. A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. IJCAI 2023.
2. Li-wei H. Lehman, Benjamin E Moody, Harsh Deep, Hasan Saeed, Lucas McCullum, Feng Wu, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark. A Large Scale Annotated Dataset of Ventricular Tachycardia Alarms from ICU Monitors. NeurIPS 2023.(Under review)
3. Feng Wu, Guoshuai Zhao, Yuerong Zhou, Li-wei H Lehman. AL-Transformer: Forecasting Treatment and Response Over Time Using Alternating Sequential Models. IEEE Trans on Biomedical Engineering. 2023. (Major revision)
4. Feng Wu, Harsh Deep, Guoshuai Zhao, Li-wei H Lehman. Self-Supervised State Space Modeling for Clinical Time Series with Long-Range Dependency. AAAI 2024. under review.
5. Feng Wu, Guoshuai Zhao, Xueming Qian. Improving Conversation Recommendation System Through Personalized Preference Modeling and Knowledge Graph. IEEE Transactions on Knowledge and Data Engineering, 2022 Under review.