Publications

MontageFlow: Physically Valid High Fidelity EEG Generation

Sudarshan Regmi, Nabaraj Subedi, Arvind Pillai, Yu Yvonne Wu, Yuliang Chen, Michael V. Heinz, Lisa Marsch, Nicholas C. Jacobson, Andrew Campbell

arXiv preprint

Lapras: Latent Reasoning for Time Series Language Models

Yuliang Chen, Yu Yvonne Wu, Patrick Langer, Arvind Pillai, Sudarshan Regmi, Martin Maritsch, Juncheng Liu, Robert Jakob, Thomas Kaar, Tess Z. Griffin, Lisa Marsch, Michael V. Heinz, Nicholas C. Jacobson, Andrew Campbell

arXiv preprint

Wearable Foundation Models Should Go Beyond Static Encoders

Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon, Ting Dang, Dimitris Spathis, Tong Xia, Qiang Yang, Jing Han, Dong Ma, Sung-Ju Lee, Cecilia Mascolo

arXiv preprint

TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models

Sudarshan Regmi, Arvind Pillai, Yu Yvonne Wu, Yuliang Chen, Bibek Panthi, Tess Z. Griffin, Michael V. Heinz, Lisa Marsch, Nicholas C. Jacobson, Andrew Campbell

arXiv preprint

WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning

Yuwei Zhang, Tong Xia, Bianca Emmerich, Yu Yvonne Wu, Dimitris Spathis, Xin Liu, Daniel McDuff, Cecilia Mascolo

arXiv preprint

VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data

Di Zhu, Yu Yvonne Wu, Hong Jia, Aaqib Saeed, Vassilis Kostakos, Ting Dang

arXiv preprint

Learning Transferable Sensor Models via Language-Informed Pretraining

Yuliang Chen, Arvind Pillai, Yu Yvonne Wu, Tess Z. Griffin, Lisa Marsch, Michael V. Heinz, Nicholas C. Jacobson, Andrew Campbell

arXiv preprint

BALMS: Benchmarking Agentic LLMs for Longitudinal Mental Health Sensing

Yu Yvonne Wu, Arvind Pillai, Yuliang Chen, Yuwei Zhang, Sudarshan Regmi, Tess Z. Griffin, Michael V. Heinz, Lisa A. Marsch, Nicholas C. Jacobson, Andrew Campbell

EMNLP 2026 — Conference on Empirical Methods in Natural Language Processing

Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization

Hyungjun Yoon*, Seungjoo Lee*, Yu Yvonne Wu*, Xiaomeng Chen*, Taiting Lu, Freddy Yifei Liu, Taeckyung Lee, Hyeongheon Cha, Haochen Zhao, Gaoteng Zhao, Sung-Ju Lee, Cecilia Mascolo, Dongyao Chen, Lili Qiu (*equal contribution)

ICLR 2026 — International Conference on Learning Representations

Rethinking Large Language Models for Irregular Time Series Classification in Critical Care

Feixiang Zheng, Yu Wu, Cecilia Mascolo, Ting Dang

ICASSP 2026 — IEEE International Conference on Acoustics, Speech, and Signal Processing

AdaNODEs: Test-Time Adaptation for Time Series Forecasting Using Neural ODEs

Ting Dang, Soumyajit Chatterjee, Hong Jia, Yu Wu, Flora Salim, Fahim Kawsar

ICASSP 2026 — IEEE International Conference on Acoustics, Speech, and Signal Processing

ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction

Jaden Moon, Yu Yvonne Wu, Arvind Pillai, Andrew Campbell

WellComp @ UbiComp/ISWC 2026 — Workshop on Computing for Well-being

OCMDP: Observation-Constrained Markov Decision Process

Taiyi Wang, Jianheng Liu, Bryan Lee, Zhihao Wu, Yu Wu

IJCNN 2025 — International Joint Conference on Neural Networks

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast

Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo

CIKM 2024 — ACM International Conference on Information and Knowledge Management

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking

Yuwei Zhang, Tong Xia, Jing Han, Yu Yvonne Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo

NeurIPS 2024 — Advances in Neural Information Processing Systems, Datasets and Benchmarks Track

IMChew: Chewing Analysis using Earphone Inertial Measurement Units

Tamisa Ketmalasiri, Yu Yvonne Wu, Kayla-Jade Butkow, Cecilia Mascolo, Yang Liu

BodySys @ MobiSys 2024 — Workshop on Body-Centric Computing Systems

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction

Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo

MLHC 2023 — Machine Learning for Healthcare

Longitudinal Cardio-respiratory Fitness Prediction through Wearables in Free-living Environments

Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Soren Brage, Nicholas Wareham, Cecilia Mascolo

npj Digital Medicine — 5(176)

Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction

Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo

ML4H 2022 — Machine Learning for Health