Shenda Hong (洪申达)
Avatar of Shenda Hong
Assistant Professor
National Institute of Health Data Science
Peking University
Email: hongshenda@pku.edu.cn
Address: 38 Xueyuan Rd, Haidian District, Beijing, 100191, China
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I am an Assistant Professor (tenure-track) in National Institute of Health Data Science (NIHDS) at Peking University. My research interests are health data science and artificial intelligence for real-world healthcare data, especially 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; an external reviewer of Center for Medical Device Evaluation (National Medical Products Administration, NMPA) of China.

Research Interests

  • Deep learning methods for temporal medical data: temporal events, time series (e.g. longitudinal data, 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).
  • 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

  • 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

We are recruiting PostDoc, Ph.D., and Interns who have a strong passion for health data science with coding skills. If you are interested, please send email with your CV.

[2024/01] Three papers accepted to ICLR 2023.

[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!

[2023/09] Our diffusion survey paper is published in ACM Computing Surveys.

[2023/09] Our AI for medicine review paper is published in The Innovation Medicine.

[2023/09] One paper accepted to NeurIPS 2023.

[2023/08] Our heart age estimation with single-lead ECG research (in Chinese) is published in Chinese Journal of Cardiac Arrhythmias (中华心律失常学杂志). You can try it using our portable ECG device.

Publications

See full publications at Google Scholar, DBLP, and PubMed

(#Equal contribution; *Corresponding author)

[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.

[TNNLS 2023] Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong*. Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer. IEEE Transactions on Neural Networks and Learning Systems.

[TNNLS 2023] Chenxi Sun, Hongyan Li*, Moxian Song, Shenda Hong*. A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. IEEE Transactions on Neural Networks and Learning Systems.

[MIDL 2023] Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong*. Frozen Language Model Helps ECG Zero-Shot Learning. Medical Imaging with Deep Learning (MIDL) 2023.

[HDS 2023] Haoyang Hong, Shenda Hong*. simpleNomo: A Python Package of Making Nomograms for Visualizable Calculation of Logistic Regression Models. Health Data Science 3;2023:0023.

[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.

[CBM 2020] Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun. Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review. Computers in Biology and Medicine 122: 103801 (2020).

[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.

[CinC 2017] Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie. ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. In Computing in Cardiology 2017.

Teaching

  • Basis of Python Programming in Health Data Science (Fall 2023)

Awards

Services

Associate Editor

Conference Reviewer

  • ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2022 2023
  • 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
  • AAAI Conference on Artificial Intelligence (AAAI) 2020 2021 2022 2023 2024
  • 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

PostDoc

  • Haixue Wang (2023-)

Ph.D. Students

  • Gongzheng Tang (2023-)

Undergraduate Students

  • 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

  • Jiarong Chen (2023-, master student at Sun Yat-sen University)
  • Jiabo Chen (2023-, undergraduate student at Tianjin University of Technology, incoming master student at Nankai University)
  • Songchi Zhou (2022-, undergraduate student at Shanghai Jiao Tong University, now Ph.D. student at Tsinghua University)
  • Jun Li (2022-, undergraduate student at Jilin 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 master student at Imperial College London)
  • Jingying Ma (2021-2023, undergraduate student at Beihang University, incoming Ph.D. student at National University Singapore)
  • Wenrui Zhang (2021-2022, master student at National University Singapore, now working at Huawei)
Last update: 2024/01