Shenyang skyline, the host city of IEEE ICDM 2026

IEEE ICDM 2026 Workshop

The International Workshop on MedicalTime Series Analytics and Foundation Models

Date
November 12, 2026
Format
Half-day, in-person
Location
Shenyang, China
Venue
Beijing Room, Wanda Vista Shenyang

About

About the Workshop

Medical time series analytics plays a vital role in clinical decision support, early warning, and continuous patient monitoring. The rapid growth of digital health technologies has generated large volumes of heterogeneous physiological and clinical signals, raising challenges in irregular sampling, multimodal integration, scalability, and privacy.

Recently, foundation models, including large language models and multimodal pre-trained models, offer a promising route toward more generalizable and scalable healthcare intelligence. This half-day workshop at IEEE ICDM 2026 brings together researchers, practitioners, and clinicians to discuss recent advances, open challenges, and practical paths for trustworthy medical foundation models.

Call for Papers

Submit Your Research

We invite original research on medical time series analytics, healthcare foundation models, and their clinical applications. Selected papers will be invited for extended submission to a special journal issue.

Theme and Topics

We welcome methods, systems, benchmarks, and applications for medical time series and healthcare foundation models. Topics include, but are not limited to:

  • Medical Time-Series Modeling (EEG, EOG, EMG, ECG)
  • Foundation Models and LLMs for Healthcare
  • Spatial Medical Time Series (Ultrasound and Video)
  • Multimodal Healthcare Data Mining and Alignment
  • Trustworthy, Interpretable, and Privacy-Preserving Health AI
  • Benchmarks, Surveys, Tutorials, and Open Resources
  • Clinical Decision Support and Digital Health Applications

Submission Guidelines

Please submit papers through the official ICDM workshop submission system at ICDM 2026 Workshop Submission Portal.

Manuscripts should be submitted in PDF format following the standard IEEE ICDM template. Full papers cannot exceed 10 pages; short papers cannot exceed 4 pages, including references and any appendices.

This workshop follows a single-blind review process. For any questions, please feel free to contact Dr. Chenxi Liu. A Best Paper Award will be selected based on review and presentation evaluation.

Important Dates

  • Paper Submission DeadlineSeptember 1, 2026
  • Paper Acceptance NotificationSeptember 20, 2026
  • Camera-Ready Submission DeadlineOctober 5, 2026
  • Workshop DateNovember 12, 202613:00–15:30 (UTC+8)

Schedule

Workshop Program

The workshop is an in-person half-day event featuring invited talks, paper presentations, and discussion.

MedTSFM workshop agenda for November 12, 2026. All times in China Standard Time (UTC+8).
-

Opening and Welcome

-

Paper Presentations — Session 1

  • Alert-List Concordance for Evaluating Imputation Strategies in ICU Sepsis Prediction — transferred from the DMBIH workshop

    Priyanka Siddappa, University of Massachusetts Lowell

  • IARA: Irregularity-Aware Representation Adaptation for Clinical Time Series

    Shengbin Liu, Xinjiang University

  • SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting

    Tuan-Binh Tran, VinUniversity

  • Privacy-Preserving Multi-View Healthcare Data Imputation via Adaptive Diffusion

    Huanchang Ma, Northeast Normal University

  • Reference-Calibrated Residual Auditing for Backdoor Inspection in Time-Series Forecasting

    Jian Liu, Beihang University

-

Keynote Talk by Prof. Yujun Yan

-

Paper Presentations — Session 2

  • CheXFuse: Guided Differential Joint Attention Fusion for Robust Multimodal Chest X-Ray Classification in Data-Scarce Medical Settings — transferred from the DMBIH workshop

    Muntaqim Ahmed Raju, University of Massachusetts Lowell

  • ZeEEG: Zentropy-Guided Conditional EEG Generation for Sleep Stage Augmentation with Local Semantic Uncertainty

    Jiacheng Lyu, Xidian University; Heriot-Watt University

  • LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics

    Mariia Baranova, EDF R&D; Université Paris Cité

  • Beyond Accuracy: Evaluating Performance and Energy Trade-offs in EEG-Based ADHD Classification — transferred from the DMBIH workshop

    Aleksandra Kawala-Sterniuk, Wrocław University of Science and Technology

-

Award Ceremony and Closing Remarks

Organizers

Workshop Organizers

  • Chenxi Liu

    Chenxi Liu

    Assistant Professor

    Centre for Artificial Intelligence and RoboticsHong Kong Institute of Science & Innovation, CAS

    Homepage
  • Jinlin Wu

    Jinlin Wu

    Assistant Professor

    Centre for Artificial Intelligence and RoboticsHong Kong Institute of Science & Innovation, CAS

    Homepage
  • Dong Yi

    Dong Yi

    Professor

    Centre for Artificial Intelligence and RoboticsHong Kong Institute of Science & Innovation, CAS

    Homepage
  • Zhen Lei

    Zhen Lei

    Professor, IEEE/IAPR Fellow

    Centre for Artificial Intelligence and RoboticsHong Kong Institute of Science & Innovation, CAS

    Homepage
  • Hongbin Liu

    Hongbin Liu

    Professor

    Centre for Artificial Intelligence and RoboticsHong Kong Institute of Science & Innovation, CAS

    Homepage
  • Gaofeng Meng

    Gaofeng Meng

    Professor

    Centre for Artificial Intelligence and RoboticsHong Kong Institute of Science & Innovation, CAS

    Homepage

Program Committee

Program Committee

  • Khushan Adatiya

    Google Cloud AI, USA

  • Hao Miao

    The Hong Kong Polytechnic University, Hong Kong SAR

  • Yuhuan Lu

    Boston Children’s Hospital and Harvard Medical School, USA

  • Xiaocao Ouyang

    Southwestern University of Finance and Economics, China

  • Jinpeng Li

    Hong Kong Institute of Science & Innovation, CAS, Hong Kong SAR

  • Yanteng Zhang

    TReNDS Center (Georgia Institute of Technology, Georgia State University, Emory), USA

Committee & Workshops

Publicity and Web Chairs & Related Workshops

Publicity Chair

Junyu Chen

Junyu Chen

CAIR-HKISI-CAS, Hong Kong SAR

Web Chair

Bochuang Yang

Bochuang Yang

CAIR-HKISI-CAS, Hong Kong SAR

Related Workshops