National Institute of Health Data Science
Institute for Artificial Intelligence
Peking University
Email: hongshenda@pku.edu.cn
Address: 38 Xueyuan Rd, Haidian District, Beijing, 100191, China
I am an Assistant Professor (tenure-track) at National Institute of Health Data Science (NIHDS) and Institute for Artificial Intelligence (Joint Appointment), Peking University. My research interests are AI for real-world healthcare data and digital health, mostly deep learning for temporal medical data. I serve as an associate editor of Health Data Science - a Science Partner Journal; a program committee member or reviewer for international conferences including KDD, ICLR, NeurIPS, ICML, AAAI and IJCAI; and an external reviewer of Center for Medical Device Evaluation (National Medical Products Administration, NMPA) of China.
Research Interests
- Deep learning for temporal medical data: temporal events, time series (e.g. longitudinal data, cohort, electronic health records), and physiological signals (e.g. ECG, EEG, PPG, PCG, PSG). We won the first place of the 18th PhysioNet/Computing in Cardiology Challenge, and released a DNN backbone Net1D. Currently working on learning in label scarce environment, generative methods, integrating with medical knowledge and other modality data (e.g. texts).
- Digital health: enhancing smart devices with AI and applications in healthcare, portable ECG device, flexible ECG patch, smart watch (with PPG/ECG sensor), smart ring (with PPG sensor), smart stethoscope (with PCG sensor), smart eyemask (with EEG sensor). Currently collaborating closely with affiliated hospitals of Peking University, working on smart devices for sleep disorders, cardiovascular disease, and fetal monitoring.
Working Experience
- 2024/09 - now, Assistant Professor, Institute for Artificial Intelligence (Joint Appointment), Peking University, Beijing, China
- 2022/08 - now, Assistant Professor, National Institute of Health Data Science, Peking University, Beijing, China
- 2020/09 - 2022/07, (Boya) Postdoctoral Researcher, National Institute of Health Data Science, Peking University, Beijing, China, working with Prof. Luxia Zhang
- 2020/02 - 2020/08, Visiting Researcher, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, working with Prof. M. Brandon Westover
- 2019/09 - 2020/08, Postdoctoral Researcher, College of Computing, Georgia Institute of Technology, Atlanta, GA, USA, working with Prof. Jimeng Sun
- 2018/06 - 2018/08, Research Intern, Tencent Medical AI Lab, Beijing, China
- 2017/07 - 2018/02, Research Intern, IBM China Research Lab, Beijing, China
- 2016/10 - 2017/04, Research Intern, Microsoft Research Asia, Beijing, China
Education
- 2014/09 - 2019/07, Ph.D., Computer Sciences, Peking University, Beijing, China, advisor Prof. Hongyan Li
- 2010/09 - 2014/07, B.S., Mathematics, Beijing University of Posts and Telecommunications, Beijing, China
- 2007/09 - 2010/06, Science Honor Class, Hefei No.1 High School, Hefei, Anhui
News
[Updated at 2024/09] We are recruiting PostDoc (Opening, Doctors of Public Health are also welcomed), Ph.D. (No positions available for 2025, two positions available for 2026 at School of Intelligence Science Technology (SIST, 智能学院)), and Interns (Opening always) who have a strong passion for health data science with coding skills. If you are interested, please send email with your CV.
[2024/09] One paper accepted to NeurIPS 2024.
[2024/09] Two papers published in npj Women's Health.
[2024/08] We successfully organized the KDD-AIDSH Workshop KDD-AIDSH Workshop (AI and Data Science for Healthcare) in Barcelona.
[2024/07] One paper published in PNAS.
[2024/01] Three papers accepted to ICLR 2024.
[2024/01] AIMEL (AI in Medcine League) organized its first seminar at Peking University Health Science Center.
[2023/12] An invited comment published in The Lancet Digital Health.
[2023/11] Lab member Guangkun Nie is funded by the Natural Science Foundation of Beijing (2023年度北京市自然科学基金本科生“启研”计划项目). Congrats!
[2023/10] Our solution paper (ranked 5/36) of George B. Moody PhysioNet Challenge 2023 is published.
[2023/10] The world's largest ECG database, Harvard-Emory ECG Database, is released!
Recent Publications
See full publications at Google Scholar, DBLP, and PubMed
(#Equal contribution; *Corresponding author)
[npj Women's Health 2024] Zenghui Lin, Xintong Liu, Nan Wang, Ruichen Li, Qingao Liu, Jingying Ma, Liwei Wang*, Yan Wang*, Shenda Hong*. Deep Learning with Information Fusion and Model Interpretation for Long-term Prenatal Fetal Heart Rate Data. npj Womens Health 2, 31 (2024)
[npj Women's Health 2024] Jingyu Wang, Wenhan Xiao, Haoyang Hong, Chi Zhang, Min Yu, Liyue Xu, Jun Wei, Jingjing Yang, Yanan Liu, Huijie Yi, Linyan Zhang, Rui Bai, Bing Zhou, Long Zhao, Xueli Zhang, Xiaozhi Wang, Xiaosong Dong, Guoli Liu*, Shenda Hong*. Performance of Machine Learning-based Models to Screen Obstructive Sleep Apnea in Pregnancy. npj Womens Health 2, 28 (2024)
[The Lancet Digital Health 2024] Shenda Hong*, Qinghao Zhao. Expanding Electrocardiogram Abilities for Postoperative Mortality Prediction with Deep Learning. 6(1): e4-e5
[PNAS 2024] Zhiguang Liu#, Minkun Cai#, Shenda Hong#, Junli Shi#, Sai Xie, Chang Liu, Huifeng Du, James D Morin, Gang Li, Liu Wang, Hong Wang, Ke Tang, Nicholas X Fang, Chuan Fei Guo. Data-driven Inverse Design of Flexible Pressure Sensors. Proceedings of the National Academy of Sciences 121, no. 28 (2024): e2320222121
[ICLR 2024] Chenxi Sun, Yaliang Li, Hongyan Li*, Shenda Hong*. TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. International Conference on Learning Representations (ICLR) 2024
[Cell Patterns 2023] Chenxi Sun, Hongyan Li*, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong*. Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks. Patterns 4(2), 100687
[CommsEng 2023] Chenxi Sun, Hongyan Li*, Hongna Dui, Shenda Hong*, Yongyue Sun, Moxian Song, Derun Cai, Baofeng Zhang, Qiang Wang, Yongjun Wang, Bo Liu. A Multi-Model Architecture based on Deep Learning for Aircraft Load Prediction. Communications Engineering 2, 47 (2023)
[ICML 2022] Ling Yang, Shenda Hong*. Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. In International Conference on Machine Learning (ICML) 2022, 25038-25054
[KDD 2020] Shenda Hong#, Yanbo Xu#, Alind Khare#, Satria Priambada#, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov. HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 1614-1624.
[WWW 2020] Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng. CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. In Companion Proceedings of the Web Conference 2020, Demo Track, 148-152.
Teaching
- Basis of Python Programming in Health Data Science (for undergraduate students, graduate students and continuing education of clinicians)
Awards
- 2021/09, Top-Cited Paper Awards (Top 1%), IOP Publishing
- 2020/12, Boya Postdoctoral Fellowship (Peking University)
- 2019/10, Golden Award, China “Internet+” Innovation and Entrepreneurship Competition
- 2017/09, First Place in the 18th PhysioNet/Computing in Cardiology Challenge [code] [paper]
Services
Associate Editor
Conference Reviewer
- ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2022 2023 2024 2025
- International Conference on Learning Representations (ICLR) 2021 2022 2023 2024
- International Conference on Machine Learning (ICML) 2021 2022 2023 2024
- Conference on Neural Information Processing Systems (NeurIPS) 2020 2021 2022 2023 2024
- AAAI Conference on Artificial Intelligence (AAAI) 2020 2021 2022 2023 2024 2025
- International Joint Conference on Artificial Intelligence (IJCAI) 2019 2020
Journal Reviewer
- The Lancet Digital Health
- NPJ Digital Medicine
- Nature Communications
- IEEE Journal of Biomedical and Health Informatics
- Journal of Medical Internet Research
- Computer Methods and Programs in Biomedicine
- Computers in Biology and Medicine
- Statistics in Medicine
- Health Data Science 2021 Reviewers of the Year
Others
- External reviewer of Center for Medical Device Evaluation (National Medical Products Administration, NMPA) of China
Team
Research Staff
- Deyun Zhang (2021-)
- Shijia Geng (2021-)
PostDoc
- Haixue Wang (2023-)
Ph.D. Students
- Donglin Xie (2024-)
- Gongzheng Tang (2023-)
Undergraduate Students
- Chen Xu (2024-, Clinical Medicine, Peking University)
- Zifeng Qiu (2024-, Clinical Medicine, Peking University)
- Yuechao Zhao (2024-, School of Health Humanities, Peking University)
- Zhuoran Kan (2024-, Institute of Medical Technology, Peking University)
- Yujie Xiao (2024-, Institute of Medical Technology, Peking University)
- Yuxuan Guo (2023-, Institute of Medical Technology, Peking University)
- Aiminuer Aizezi (2023-, School of Public Health, Peking University)
- Zenghui Lin (2023-, School of Public Health, Peking University)
- Xintong Liu (2022-, Clinical Medicine, Peking University)
- Yifan Xiao (2022-, Institute of Medical Technology, Peking University)
- Jiabao Zhu (2022-, Institute of Medical Technology, Peking University)
- Guangkun Nie (2022-, Institute of Medical Technology, Peking University)
Visiting Students
- Jiarui Jin (2024-, undergraduate student at South China Normal University, incoming Ph.D. student at Peking University)
- Jun Li (2022-, undergraduate student at Jilin University)
- Jiarong Chen (2023-2024, master student at Sun Yat-sen University, now Ph.D. student at Shanghai Jiao Tong University)
- Jiabo Chen (2023-2024, undergraduate student at Tianjin University of Technology, now master student at Nankai University)
- Songchi Zhou (2022-2024, undergraduate student at Shanghai Jiao Tong University, now Ph.D. student at Tsinghua University)
- Ji Deng (2022-2023, undergraduate student at Beijing University of Posts and Telecommunications, now Ph.D. student at Peking University)
- Haoyang Hong (2022-2023, undergraduate student at Chinese University of Hong Kong (Shenzhen), now Ph.D. student at Imperial College London)
- Jingying Ma (2021-2023, undergraduate student at Beihang University, now Ph.D. student at National University Singapore)
- Wenrui Zhang (2021-2022, master student at National University Singapore, now working at Huawei)
Last update: 2024/09