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Workshop Sun, Dec 7, 2025 • 8:00 AM – 5:00 PM PST

Learning from Time-Series for Health

Max Xu ⋅ Hyewon Jeong ⋅ Wanting Mao ⋅ Girish Narayanswamy ⋅ Sujay Nagaraj ⋅ Tom Hartvigsen ⋅ Xin Liu ⋅ Sana Tonekaboni ⋅ James Rehg
Project Page [ OpenReview] 

Abstract

Video

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Schedule

Timezone: America/Los_Angeles
8:30 AM
Opening Remarks
12:35 PM
Lunch Break
Pretraining Patient Foundation Models on Multimodal Patient Journeys
Daniel P Jeong ⋅ Suhana Bedi ⋅ Cliff Wong ⋅ Sheng Zhang ⋅ Jeya Maria Jose Valanarasu ⋅ Qianchu Liu ⋅ Reuben Tan ⋅ Zelalem Gero ⋅ Jaspreet Bagga ⋅ Juan M Zambrano Chaves ⋅ Naoto Usuyama ⋅ Hanwen Xu ⋅ Roshanthi Weerasinghe ⋅ Rom Leidner ⋅ Brian Piening ⋅ carlo bifulco ⋅ Tristan Naumann ⋅ Hoifung Poon
Time-Aware Synthetic Control
Saeyoung Rho ⋅ Cyrus Illick ⋅ Samhitha Narasipura ⋅ Alberto Abadie ⋅ Daniel Hsu ⋅ Vishal Misra
Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for Foundation Models
Giuliana Monachino ⋅ Nicolò La Porta ⋅ Beatrice Zanchi ⋅ Luigi Fiorillo ⋅ Alvise Dei Rossi ⋅ Georgiy Farina ⋅ Francesca Faraci
CAST: Causal Modeling of Time-Varying Treatment Effects on Head and Neck Cancer
Everest Yang ⋅ Ria Vasishtha ⋅ Luqman Dad ⋅ Lisa Kachnic ⋅ Andrew Hope ⋅ Eric Wang ⋅ Xiao Wu ⋅ Yading Yuan ⋅ David Brenner ⋅ Igor Shuryak
Volatility-Aware Masking Improves Performance and Efficiency of Pretrained EHR Foundation Models
Rajna Fani ⋅ Rafi Al Attrach ⋅ Yugang jia ⋅ David Restrepo ⋅ Peter Schüffler ⋅ Leo Anthony Celi
Towards Evaluating Robustness of EEG-based Sleep Trackers
PRIYANKA MARY MAMMEN ⋅ Prashant Shenoy
Let the Experts Speak: Improving Survival Prediction & Calibration via Mixture-of-Experts Heads
Todd Morrill ⋅ Aahlad Manas Puli ⋅ Murad Megjhani ⋅ Soojin Park ⋅ Richard Zemel
Towards Self-Supervised Foundation Models for Critical Care Time Series
Katja Jagd ⋅ Rachael DeVries ⋅ Ole Winther
A novel approach to classification of ECG arrhythmia types with latent ODEs
Angelina Yan ⋅ Matt Sampson ⋅ Peter Melchior
Video CLIP Model for Multi-View Echocardiography Interpretation
Ryo Takizawa ⋅ satoshi kodera ⋅ Tempei Kabayama ⋅ Ryo Matsuoka ⋅ Yuta Ando ⋅ Yuto Nakamura ⋅ Haruki Settai ⋅ NORIHIKO TAKEDA
Neo-InstructTime: Editing Deceleration Events in Neonatal Vital Signs Using Natural Language
Jiaxing (Joy) Qiu ⋅ Medhasweta Sen ⋅ Brynne Sullivan ⋅ Teague Henry ⋅ Tom Hartvigsen
Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
Jathurshan Pradeepkumar ⋅ Xihao Piao ⋅ Zheng Chen ⋅ Jimeng Sun
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
Rohit Agarwal ⋅ Aman Sinha ⋅ Ayan Vishwakarma ⋅ Xavier Coubez ⋅ Marianne Clausel ⋅ Mathieu Constant ⋅ Dilip K. Prasad ⋅ Alexander Horsch
ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
Yuhao Xu ⋅ Xiaoda Wang ⋅ Yi Wu ⋅ Wei Jin ⋅ Xiao Hu ⋅ Carl Yang
Probabilistic Digital Twin for Data-driven Smart Weaning of Mechanical Circulatory Devices
Sophia Sun ⋅ Aysin Tumay ⋅ Sonia Fereidooni ⋅ Aaron Dumas ⋅ Elise Jortberg ⋅ Rose Yu
Decoding Type 2 Diabetes Progression via Metabolic Hormone Time-Series
Hesam Abouali ⋅ Sanjana Srikant ⋅ Nicole Barra ⋅ Ali Etemad ⋅ Jonathan Schertzer ⋅ Mahla Poudineh
Contrastive Learning for Multi-Label ECG Classification with Jaccard Score–Based Sigmoid Loss
Junichiro Takahashi ⋅ Masataka sato ⋅ satoshi kodera ⋅ NORIHIKO TAKEDA
Estimating Clinical Lab Test Result Trajectories from PPG using Physiological Foundation Model and Patient-Aware State Space Model – a UNIPHY+ Approach
Minxiao Wang ⋅ Runze Yan ⋅ Carol Li ⋅ Saurabh Kataria ⋅ Xiao Hu ⋅ Matthew Clark ⋅ Timothy Ruchti ⋅ Timothy Buchman ⋅ Randall Lee ⋅ Sivasubramanium Bhavani
Wavelet-Based Masked Multiscale Reconstruction for PPG Foundation Models
Megha Thukral ⋅ Cyrus Tanade ⋅ Simon Lee ⋅ Juhyeon Lee ⋅ Sharanya Desai
TIDAL: A Temporal Causal Diffusion Framework for Visualizing Knee Osteoarthritis Treatment Outcomes
Anthony Cuturrufo ⋅ Fred Xu ⋅ Arvind Vepa ⋅ David Bakal ⋅ Veena Ranganath ⋅ Yizhou Sun ⋅ Wei Wang
Peak-R1: Instruction-Tuned Large Language Models for Robust J-Peak Detection in Cardiomechanical Signals
Jiahui Li ⋅ Yida Zhang ⋅ Zixuan Zeng ⋅ Jiayu Chen ⋅ Xiang Zhang ⋅ Jin Lu ⋅ WenZhan Song ⋅ Fei Dou
Two-Stage Modeling for Dynamic Survival Prediction from Longitudinal Data
Tomoya Ogawa ⋅ Masakazu Iwamura ⋅ Soichiro Nakako ⋅ Hiroshi Okamura ⋅ Akinori Nishikawa ⋅ Koichi Kise
Multi–Cancer Risk Prediction Using Transformers Trained on Large-Scale Longitudinal EHR Data
Mohammad Asif Khan ⋅ Daniel Ritter ⋅ Chunlei Zheng ⋅ Duncan Forster ⋅ Moshir Harsh ⋅ Artem Gazizov ⋅ Debora Marks ⋅ Nathanael Fillmore ⋅ Chris Sander
Towards On-device Foundation Models for Raw Wearable Signals
Simon Lee ⋅ Cyrus Tanade ⋅ Hao Zhou ⋅ Juhyeon Lee ⋅ Megha Thukral ⋅ Baiying Lu ⋅ Sharanya Desai
A Second-Order SpikingSSM for Wearables
Kartikay Agrawal ⋅ Abhijeet Vikram ⋅ Vedant Sharma ⋅ Vaishnavi Nagabhushana ⋅ Ayon Borthakur
A study on intensive care early event prediction: How well do clinicians perform against AI?
Manuel Burger ⋅ Jérôme Pasquier ⋅ Quinten Johnson ⋅ Xinrui Lyu ⋅ Dinara Veshchezerova ⋅ Carmen Pfortmueller ⋅ Joerg Schefold ⋅ Tobias Merz ⋅ David Berger ⋅ Martin Faltys ⋅ Gunnar Rätsch
Transient Neural Dynamics Reconstruction
Anima Kujur ⋅ Zahra Monfared ⋅ Shervin Safavi
Interpretable Graph Learning on Irregular Clinical Time Series
Andrea Zerio ⋅ Maya Bechler-Speicher ⋅ Maor Huri ⋅ Marie Vestergaard ⋅ Ran Gilad-Bachrach ⋅ Tine Jess ⋅ Samir Bhatt ⋅ Aleksejs Sazonovs
Learning Representations from Incomplete EHR Data with Dual-Masked Autoencoding
Xiao Xiang ⋅ David Restrepo ⋅ Hyewon Jeong ⋅ Yugang jia ⋅ Leo Anthony Celi
Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models
Kanav Arora ⋅ Girish Narayanswamy ⋅ Shwetak Patel ⋅ Richard Li
Flow-Guided Neural Operator for Self-Supervised Learning on Time Series Data
Duy Nguyen ⋅ Jiayun (Peter) Wang ⋅ Jiachen Yao ⋅ Julius Berner ⋅ Animashree Anandkumar
Realistic CDSS Drug Dosing with End-to-end Recurrent Q-learning for Dual Vasopressor Control
Youzhi (Will) Zou ⋅ Jean Feng ⋅ Alexandre Kalimouttou ⋅ Jennifer Yuntong Zhang ⋅ Christopher Seymour ⋅ Romain Pirracchio
A Time-Series Vision–Language Model for Predicting Progression of Diabetic Retinopathy
Gongyu Zhang ⋅ YT ⋅ Jiayu Huo ⋅ M. Jorge Cardoso ⋅ Timothy Jackson ⋅ Christos Bergeles
Exploring multi-site dataset shifts in electronic health records using time series features
Jeffrey Feng ⋅ Chandler Beon ⋅ Andrew Melehy ⋅ Richard Leuchter ⋅ Alex Bui
Foundation Models for Hemodynamic Time Series: A New Paradigm in Cardiovascular Data Modeling
Khuong Vo ⋅ Arash Shokouhmand ⋅ Arghavan Arafati ⋅ Cristhian Potes
CAND: Cross-Sign Ambiguity Inference for Early Detecting Nuanced Illness Deterioration
Lo Pang-Yun Ting ⋅ Zhen Tan ⋅ Hong-Pei Chen ⋅ Cheng-Te Li ⋅ Po-Lin Chen ⋅ Kun-Ta Chuang ⋅ huan liu
NEUROSKY–EPI: The First Open Single–Electrode Epilepsy EEG Dataset with Context–Aware Modeling and Clinically Grounded Metadata
H M Shadman Tabib ⋅ Hasnaen Adil ⋅ Ayesha Rahman ⋅ Ahmmad Swapnil ⋅ Maoyejatun Hasana ⋅ A. B. M. Alim Al Islam
RAxSS: Retrieval-Augmented Sparse Sampling for Explainable Variable-Length Medical Time Series Classification
Aydin Javadov ⋅ Samir Garibov ⋅ Tobias Hoesli ⋅ Qiyang Sun ⋅ Joseph Ollier ⋅ Florian von Wangenheim ⋅ Björn Schuller
Blind Source Separation for Fetal PPG with Rate-Based Proxy Supervision
Weitai Qian ⋅ Rishad Joarder ⋅ Randall Fowler ⋅ Begum Kasap ⋅ Mahya Saffarpour ⋅ Soheil Ghiasi
JETS: A Self-Supervised Joint Embedding Time Series Foundation Model for Behavioral Data in Healthcare
Erik Xie ⋅ Wyatt Chang ⋅ Raquel Martinez ⋅ Brandon Ballinger
PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation
Juntong Ni ⋅ Saurabh Kataria ⋅ Shengpu Tang ⋅ Carl Yang ⋅ Xiao Hu ⋅ Wei Jin
Transfering Clinical Knowledge into ECGs Representation: A Self-Supervised Approach for Interpretable, Unimodal-at-Inference Diagnosis
Jose Geraldo Fernandes ⋅ Luiz Facury de Souza ⋅ Pedro Dutenhefner ⋅ Gisele Pappa ⋅ Wagner Meira Jr.
Translating Deep Learning to Clinical Practice: External Validation and Clinical Benefit of an Electrocardiogram-Based Neural Network for Detecting Low Ejection Fraction
Nicole Hakim ⋅ Greg Lee ⋅ David Vidmar ⋅ Loren Wagner ⋅ Matthew Trachtenberg ⋅ Christopher Haggerty ⋅ Brandon Fornwalt ⋅ John Pfeifer
Subject-Aware Contrastive Learning for EEG Foundation Models
Antonis Karantonis ⋅ Konstantinos Barmpas ⋅ Dimitrios Adamos ⋅ N Laskaris ⋅ Stefanos Zafeiriou ⋅ Yannis Panagakis
Biological Pathway Informed Models with Graph Attention Networks (GAT)
Gavin Wong ⋅ Ping Ho ⋅ Ivan Yeung ⋅ Ka Chun Cheung ⋅ Simon See
High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training
Zhuoyi Huang ⋅ anamika kumari ⋅ Girish Kumar ⋅ Nutan Sahoo ⋅ Kexuan Cai ⋅ Shixing Cao ⋅ Yue Kang ⋅ Somya Sharma ⋅ Tian Xia ⋅ Nicholas Hausman ⋅ Aidan Jay ⋅ Eric Rosenthal ⋅ Soundararajan Srinivasan ⋅ Sadid A. Hasan ⋅ Alex Fedorov ⋅ Sulaiman Vesal
Contrastive Time Series Representation Learning for Neurochemical Concentration Prediction
Na Dai ⋅ Abdallah Daha ⋅ Joshua Labbe ⋅ Zhengxu Tang ⋅ Yunnuo Zhang ⋅ Jinxing Li
PathoFM: Toward a Foundation Model for Pathological Gait
Sharmita Dey ⋅ Diego Paez-Granados
Safe Active Learning of Cerebrospinal Fluid Dynamics
Fabian Flürenbrock ⋅ Johannes Köhler ⋅ Marianne Daners ⋅ Melanie Zeilinger
Signals of Decline: Machine Learning driven Biomarkers for Alzheimer’s Disease
Marisa Ripoll ⋅ Moritz Andres ⋅ Abbas Sohrabpour ⋅ Christoph Dinh ⋅ Klaus Diepold ⋅ Sheraz Khan
Improving Forecasts of Suicide Attempts for Patients with Little Data
Genesis Hang ⋅ Hope Neveux ⋅ Matthew Nock ⋅ Yaniv Yacoby
GI-Clust: Deep Clustering for Early Gastrointestinal Cancer Detection
Katarina Vukosavljević ⋅ Emma Bailey ⋅ Jun Wang ⋅ Julia Hippisley-Cox ⋅ Tingting Zhu
Mapping the Dynamics of Atrial Fibrillation with Spatiotemporal Graph Neural Networks
Alexander Jenkins ⋅ Andrea Cini ⋅ Joseph Barker ⋅ Danilo Mandic ⋅ Cesare Alippi ⋅ Fu Siong Ng
A Time Series Foundation Model for Cancer Management
CHENLIAN FU ⋅ Ruian (Ian) Shi ⋅ Michele Waters ⋅ Nikolaus Schultz ⋅ Justin Jee ⋅ Quaid Morris
Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition
Ilker Demirel ⋅ Karan Thakkar ⋅ Benjamin Elizalde ⋅ Shirley Ren ⋅ Jaya Narain
Self-Supervised Learning for Gestational Age Estimation from Low-Cost Doppler Ultrasound in Low-Resource Settings
Mohsen Shirazi ⋅ Edlyn Ramos ⋅ Suchitra Chandrasekaran ⋅ Reza Sameni ⋅ Peter Rohloff ⋅ Gari Clifford ⋅ Nasim Katebi
Integrating Slow Neural Oscillations and Physiological Burden for Trait Anxiety Prediction
Jung Youn Min ⋅ Jiong Chen ⋅ Jingxuan Bao ⋅ Shu Yang ⋅ Zhao ⋅ Li Shen ⋅ Duy Duong-Tran
Prune or Quantize? Layer-wise Compression of Time-Series ECG Foundation Networks
Tushar Shinde ⋅ Sudhanshu Gaurhar ⋅ Anil Kumar Tiwari
Don’t Sleep on Sleep Data: Influence of Sleep Physiological Signals on Stress Detection
Soundarya Ramesh ⋅ Takahiro Masuda ⋅ Lee Woon ⋅ Yongquan Hu ⋅ Suranga Nanayakkara
Healthcare TimeSeries Reasoning Benchmarks at Scale
Malgorzata Gwiazda ⋅ Yifu Cai ⋅ Mononito Goswami ⋅ Artur Dubrawski
A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis
ARTHUR BUZELIN ⋅ Yan Aquino ⋅ Pedro Bento ⋅ Samira Malaquias ⋅ Victoria Estanislau ⋅ Arthur Chagas ⋅ Pedro Dutenhefner ⋅ Turi Rezende ⋅ Gisele Pappa ⋅ Wagner Meira Jr.
Dual Mixture-of-Experts Framework for Discrete-Time Survival Analysis
Hyeonjun Lee ⋅ Hyungseob Shin ⋅ Gunhee Nam ⋅ Hyeonsoo Lee
Predicting Dementia Risk Using Longitudinal Electronic Health Records Data
Iona Biggart ⋅ Antigone Fogel ⋅ Payam Barnaghi
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare-event Detection
Jad Yehya ⋅ Mansour Benbakoura ⋅ Cédric Allain ⋅ Benoît Malézieux ⋅ Matthieu Kowalski ⋅ Thomas Moreau
Projection-based Robust Interpretable Signal Mixing for Remote Heart Rate Estimation
Cecilia G Morales ⋅ Chi-En Teh ⋅ Kai Li ⋅ Pushpak Agrawal ⋅ Artur Dubrawski