Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2022)

Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. - Dimitris Spathis; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Yu Wu 021; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (npj Digit. Medicine, 2022)

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (MLHC, 2023)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. - Yu Wu 021; Ting Dang; Dimitris Spathis; Hong Jia; Cecilia Mascolo (CIKM, 2024)

IMChew: Chewing Analysis using Earphone Inertial Measurement Units. - Tamisa Ketmalasiri; Yu Yvonne Wu; Kayla-Jade Butkow; Cecilia Mascolo; Yang Liu 101 (BodySys@MobiSys, 2024)

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. - Yuwei Zhang; Tong Xia; Jing Han 010; Yu Wu 021; Georgios Rizos; Yang Liu 101; Mohammed Mosuily; Jagmohan Chauhan; Cecilia Mascolo (NeurIPS, 2024)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. - Yu Wu 021; Ting Dang; Dimitris Spathis; Hong Jia; Cecilia Mascolo (CoRR, 2024)