Yu Wu

According to our database, Yu Wu authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

CoRR, March, 2026

Learning Transferable Sensor Models via Language-Informed Pretraining.

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

CoRR, March, 2026

Rethinking Large Language Models For Irregular Time Series Classification In Critical Care.

Feixiang Zheng, Yu Wu, Cecilia Mascolo, Ting Dang

CoRR, January, 2026

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

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

CoRR, January, 2026

2025

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

CoRR, October, 2025

2024

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

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

CoRR, 2024

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

IMChew: Chewing Analysis using Earphone Inertial Measurement Units.

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

Proceedings of the Workshop on Body-Centric Computing Systems, 2024

<i>StatioCL</i>: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast.

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments.

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

npj Digit. Medicine, 2022

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, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

CoRR, 2022