Shenda Hong
洪申达
Avatar of Shenda Hong
Assistant Professor
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

Recruitment Announcement [2026/05]

We are recruiting team members who have a strong passion of AI for digital health. If you are interested, please send an email with your CV attached:

  • PostDoc with clinical research methodology and writing skills, coding skills not required

Shenda Hong is an Assistant Professor (tenure-track) at National Institute of Health Data Science, and Institute for Artificial Intelligence, Peking University. His research interests focus on AI for Digital Health, including electronic health records (EHRs) and biosignals (e.g., ECG, PPG, PCG, EEG, PSG, FHR, Spirogram), enhancing smart devices with AI, and developing applications and validations for clinical practice. Additionally, he serves as an associate editor of npj Digital Medicine, SPJ Health Data Science, and as a reviewer for top-tier AI conferences, including ICLR, NeurIPS, ICML, KDD.

Current Research Interests

    • AI-Med Datasets. Constructing large-scale, multi-source biomedical databases to provide the foundational data infrastructure for training, benchmarking, and validating biosignal AI models across diverse clinical populations.
    • Biosignal Foundation Models. Developing generalist foundation models by leveraging large-scale, multi-modality databases to enable robust representation learning and zero-shot generalization across diverse clinical tasks.
    • Biosignal Specialized MLLMs and Agents. Constructing domain-specific multimodal large language models and clinical agents to bridge the semantic gap between time-series biosignals and clinical language, and to enable tool-augmented clinical reasoning and decision support.
    • Digital Biomarker Discovery. Establishing a systematic paradigm to transform high-dimensional biosignals into structured, quantifiable metrics that capture latent physiological aging, organ function, and disease risk.
    • AI-enhanced Health Devices. Inventing and enhancing AI-ECG products, device-repurposing techniques, and generative pipelines to expand the diagnostic capacity of low-cost, ubiquitously deployable sensors.
    • Real-World Clinical Validation. Conducting rigorous real-world studies to evaluate the clinical efficacy and implementation pathways of AI-ECG interventions.
    Direction Category Works
    AI-Med Datasets — HEEDBSci Data'26, MEETISci Data'26, MieDB-100k
    Biosignal Foundation Models — ECGFounderNEJM AI'25, AnyECG, AnyPPGKDD'26, SleepFounder, SpikeNet2NEJM AI'25, DeepSpironpj Syst Biol Appl'25, FHRFounder
    Biosignal Specialized MLLMs and Agents MLLMs HeartLangICLR'25, GEMNeurIPS'25, ECG-R1ICML'26, UniECG, SpiroLLMPLOS DH'25
    Agents & platforms KidneyTalk, ZhunXin, HeartOS
    Digital Biomarker Discovery Aging PPGageCommun Med'25, ECGage, CTGage
    Indices & omics Sleep Depth Indexnpj Digit Med'25, ECGomicsHDS'25
    Disease risk PPG-AVD, Spiro-RHF
    AI-enhanced Health Devices 问心无恙 hardware Portable ECG Device, Flexible ECG Patch, ECG Pad
    Device-repurposing Holter-to-Sleep, AnyECG-Echo, AnyECG-Lab, ECG-to-CCTA
    Rich-Data-from-Poor-Data DiffuSETS (Text-to-ECG)Patterns'25, PPGFlowECG, MCMA (ECG1to12)npj Cardiovasc Health'24, WearECG (ECG3to12)PLOS DH'25, ECGFlowCMRKDD'26
    Real-World Clinical Validation Opportunistic screening AVBI/LQTS, WPW, SVT, AF
    RCTs Hyperkalemia, BNP, RVEFPulm Circ'25
    Special populations Pregnant WomenBMC MIDM'25

Working Experience

  • 2024/09 - now, Assistant Professor (Assistant to the Dean since 2026/04), Institute for Artificial Intelligence, 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

Selected Publications

See full publications at Google Scholar, DBLP, and PubMed

(*Corresponding author)

Top AI Medical Journal

[NEJM AI 2025] Jun Li, Aaron D. Aguirre, Valdery Moura Junior, Jiarui Jin, Che Liu, Lanhai Zhong, Chenxi Sun, Gari Clifford, M. Brandon Westover, Shenda Hong*. An Electrocardiogram Foundation Model Built on over 10 Million Recordings. NEJM AI, 2, 7, (2025)
[NEJM AI 2025] Jun Li, Daniel M. Goldenholz, Moritz Alkofer, Chenxi Sun, Fabio A. Nascimento, Jonathan J. Halford, Brian C. Dean, Mattia Galanti, Aaron F. Struck, Adam S. Greenblatt, Alice D. Lam, Aline Herlopian, Chinasa Nwankwo, Dan Weber, Douglas Maus, Hiba A. Haider, Ioannis Karakis, Ji Yeoun Yoo, Marcus C. Ng, Olga Selioutski, Olga Taraschenko, Gamaleldin Osman, Roohi Katyal, Sarah E. Schmitt, Selim Benbadis, Sydney S. Cash, William O. Tatum, Zubeda Sheikh, Wan Yee Kong, Grace Bayas, Niels Turley, Shenda Hong*, M. Brandon Westover*, Jin Jing*. Expert-Level Detection of Epilepsy Markers in EEG on Short and Long Timescales. NEJM AI, 2, 7, (2025)
[npj Digital Medicine 2025] Songchi Zhou, Ge Song, Haoqi Sun, Yue Leng, M. Brandon Westover, Shenda Hong*. Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health. npj Digital Medicine 8, 203 (2025)
[Cell Patterns 2025] Yongfan Lai, Jiabo Chen, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong*. DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. Patterns 6, 101291 (2025)
[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

Top AI Conference

[ICML 2026] Jiarui Jin, Haoyu Wang, Xingliang Wu, Xiaocheng Fang, Xiang Lan, Zihan Wang, Deyun Zhang, Bo Liu, Yingying Zhang, Xian Wu*, Hongyan Li*, Shenda Hong*. ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation. ICML 2026
[ICLR 2026] Yongchao Long, Yingying Zhang, Xianbin Wen, Xian Wu*, Yuxi Zhou*, Shenda Hong*. Copy-Paste to Mitigate Large Language Model Hallucinations. ICLR 2026
[ICLR 2025] Jiarui Jin, Haoyu Wang, Hongyan Li*, Jun Li, Jiahui Pan*, Shenda Hong*. Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. ICLR 2025
[ICLR 2025] Guangkun Nie, Gongzheng Tang, Shenda Hong*. Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint. ICLR 2025
[ICLR 2024] Chenxi Sun, Yaliang Li, Hongyan Li*, Shenda Hong*. TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR 2024

Teaching

  • Basis of Python Programming in Health Data Science (for undergraduate students, graduate students and Continuing Education in Medicine)

Awards

Grants

  • CCF-Tencent Rhino-Bird Open Research Fund, 2025
  • CCF-Zhipu Large Model Innovation Fund, 2024
  • PKU-OPPO Fund, 2023/2025
  • National Natural Science Foundation of China, 2022

Services

  • Associate Editor of npj Digital Medicine, SPJ Health Data Science
  • Journal Reviewer of NEJM AI, Lancet Digital Health, EHJ Digital Health, and many others
  • Conference Reviewer of ICLR, ICML, NeurIPS, KDD, AAAI, IJCAI
  • External Reviewer of Center for Medical Device Evaluation (National Medical Products Administration, NMPA) of China

Team

Research Staff

  • Deyun Zhang (2021-)
  • Shijie Chen (2025-)
  • Jianwei Chen (2026-)

PostDoc

  • Cheng Zhang (2026-)

Ph.D. Students

See Alumni page for former team members.

Last update: 2026/05/13