Yuliang(Leo) Chen

I am a PhD student in the Department of Computer Science at Dartmouth College, advised by Prof. Andrew Campbell. Previously, I completed my M.S. in Data Science at the University of California, San Diego, where I worked with Prof. Jingjing Zou and Prof. Tauhidur Rahman.

My research interests broadly lie in machine learning and artificial intelligence, with applications in digital health systems. I primarily focus on representation learning and multimodal reasoning, particularly for sensor data.

You can find my CV here: Yuliang Chen’s Curriculum Vitae.

Email / Google Scholar / Github / LinkedIn

Publication

_{* denotes equal contribution.}

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.

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, 2026.

Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
Yunfei Luo*, Yuliang Chen*, Asif Salekin, Tauhidur Rahman. ACM Transactions on Computing for Healthcare (HEALTH), 2025.

MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements
Howon Ryu*, Yuliang Chen*, Yacun Wang, Andrea Z. LaCroix, Loki Natarajan, Yu Wang, Jingjing Zou.

Yuliang(Leo) Chen

Publication

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