PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. - Jiacheng Zhu; Gregory Darnell; Agni Kumar; Ding Zhao; Bo Li 026; XuanLong Nguyen; Shirley You Ren (CHIL, 2022)

Modeling personalized heart rate response to exercise and environmental factors with wearables data. - Achille Nazaret; Sana Tonekaboni; Gregory Darnell; Shirley You Ren; Guillermo Sapiro; Andrew C. Miller (npj Digit. Medicine, 2023)

Towards Time Series Reasoning with LLMs. - Winnie Chow; Lauren Gardiner; Haraldur Tómas Hallgrímsson; Maxwell A. Xu; Shirley You Ren (CoRR, 2024)

Do LLMs "know" internally when they follow instructions? - Juyeon Heo; Christina Heinze-Deml; Oussama Elachqar; Shirley You Ren; Udhay Nallasamy; Andy Miller; Kwan Ho Ryan Chan; Jaya Narain (CoRR, 2024)

Do LLMs "know" internally when they follow instructions? - Juyeon Heo; Christina Heinze-Deml; Oussama Elachqar; Kwan Ho Ryan Chan; Shirley You Ren; Andrew C. Miller; Udhyakumar Nallasamy; Jaya Narain (ICLR, 2025)

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. - Maxwell A. Xu; Jaya Narain; Gregory Darnell; Haraldur Tómas Hallgrímsson; Hyewon Jeong; Darren Forde; Richard Andres Fineman; Karthik Jayaraman Raghuram; James Matthew Rehg; Shirley You Ren (ICLR, 2025)

Affect Models Have Weak Generalizability to Atypical Speech. - Jaya Narain; Amrit Romana; Vikramjit Mitra; Colin Lea; Shirley You Ren (CoRR, 2025)

Voice Quality Dimensions as Interpretable Primitives for Speaking Style for Atypical Speech and Affect. - Jaya Narain; Vasudha Kowtha; Colin Lea; Lauren Tooley; Dianna Yee; Vikramjit Mitra; Zifang Huang; Miquel Espi Marques; Jon Huang; Carlos Avendaño; Shirley You Ren (CoRR, 2025)

Speech Foundation Models Generalize to Time Series Tasks from Wearable Sensor Data. - Jaya Narain; Zakaria Aldeneh; Shirley You Ren (CoRR, 2025)

Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition. - Ilker Demirel; Karan Thakkar; Benjamin Elizalde; Miquel Espi Marques; Shirley You Ren; Jaya Narain (CoRR, 2025)