Scholar
Shenda Hong
Google Scholar ID: K95az5UAAAAJ
Assistant Professor, Peking University
Citations & Impact
Citations
6,440
H-index
32
i10-index
72
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published two papers on ECG foundation model and EEG spike detection in NEJM AI; one paper on text to ECG generation in Cell Patterns; one paper on PSG sleep depth index in npj Digital Medicine; one paper on AI-ECG in European Heart Journal; won the first place in the 18th PhysioNet/Computing in Cardiology Challenge and released DNN backbone Net1D.
Research Experience
- 2024/09 - present, Assistant Professor, Institute for Artificial Intelligence, Peking University; 2022/08 - present, Assistant Professor, National Institute of Health Data Science, Peking University; 2020/09 - 2022/07, (Boya) Postdoctoral Researcher, National Institute of Health Data Science, Peking University, working with Prof. Luxia Zhang; 2020/02 - 2020/08, Visiting Researcher, Massachusetts General Hospital, Harvard Medical School, working with Prof. M. Brandon Westover; 2019/09 - 2020/08, Postdoctoral Researcher, College of Computing, Georgia Institute of Technology, working with Prof. Jimeng Sun; 2018/06 - 2018/08, Research Intern, Tencent Medical AI Lab; 2017/07 - 2018/02, Research Intern, IBM China Research Lab; 2016/10 - 2017/04, Research Intern, Microsoft Research Asia.
Education
- 2014/09 - 2019/07, Ph.D. in Computer Sciences, Peking University, advisor Prof. Hongyan Li; 2010/09 - 2014/07, B.S. in Mathematics, Beijing University of Posts and Telecommunications; 2007/09 - 2010/06, Science Honor Class, Hefei No.1 High School, Hefei, Anhui.
Background
- Research interests: deep learning for temporal medical data (e.g., electronic health records and biosignals), AI for digital health, enhancing smart devices with AI, and developing applications for clinical practice. Serves as an associate editor for npj Digital Medicine, SPJ Health Data Science, and as a reviewer for top-tier AI conferences, including ICLR, NeurIPS, ICML, KDD, AAAI, and IJCAI.
Miscellany
- Recruiting team members who have a strong passion for AI in digital health, including a postdoc with clinical research methodology and writing skills, and a research assistant with proficient coding skills.
Co-authors