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Jiaying Ye I am an undergraduate student at the University of Washington , studying Applied Mathematics–Data Science and Informatics. My research interests lie at the intersection of machine learning, wearable sensing, physiological signal processing, and mathematical AI. I currently work with the Ubicomp Lab and Math AI Lab at the University of Washington, where I study wearable physiological sensing and representation learning for mathematical reasoning. Email / CV / GitHub / Google Scholar |
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Publications |
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Does My Embedding Reflect That A = B?
Evaluating Mathematical Equivalence in
Embedding Models
Jiaying Ye, Samarth Rao, Leo Carlin, Kedar Chintalapati, Saharsh Bhargava, Rachit Jaiswal, Michael Zhou, Jared Darlington, Vasily Ilin, Jarod Alper, Henry Kvinge ICML 2026 AI4Math Workshop arXiv / code Evaluating whether embedding models capture mathematical equivalence across formal and informal mathematical statements. |
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Multi-site PPG: An In-the-Wild
Physiological Dataset from Emerging
Multi-site Wearables
Jiayi Shao, Jiaying Ye, Shengyao Liu, Zachary Englhardt, Girish Narayanswamy, Vikram Iyer, Qiuyue (Shirley) Xue NeurIPS 2026, Datasets and Benchmarks Track arXiv An in-the-wild physiological dataset collected across multiple wearable form factors for benchmarking multi-site PPG sensing and wearable health monitoring. |
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Learning from Teacher Continuations at Student States
Haojin Wang*, Dylan Zhang*, Huaibo Chen, Suhao Yu, Yihang Sun, Zhanyang Jin, Jiaying Ye, Dianqi Li, Prasanna Sattigeri, Kamal Youcef-Toumi, Hao Peng ICLR 2027, under review arXiv / project page OLIVE (Online Interventional Distillation) trains an evolving student on teacher continuations of student-generated prefixes, for reasoning and long-horizon agentic tasks. |
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ParetoRSI-Gym: Can AI Agents Improve Language Models Across Multiple Domains?
Haojin Wang, Yangzhen Wu, Zeyi Chen, Jian Xie, Jiaying Ye, Lili Meng, Shuyun Tang, Shangding Gu, Dawn Song ACL ARR 2026 October, under review arXiv A benchmark gym for studying whether AI agents can improve language models across multiple domains. |
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Recent Research Progress in the Integration
of Raman Spectroscopy with Machine Learning
Algorithms for Disease Diagnosis
Zefeng Zheng*, Ying Cui*, Boyou Zhang*, Yang Li, Yongjie Liu, Jiaying Ye, Feng Yuan, Khek-Yu Ho, Jing Liu, Lijia Wang Nano Research, 2025 paper A review of machine-learning approaches for Raman spectroscopy-based disease diagnosis and biomedical analysis. |
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Raman Spectroscopy of Deuterium-Labeled
Macromolecules: Emerging Strategies
in Biomedical Research
Zefeng Zheng*, Ying Cui*, Boyou Zhang*, Yang Li, Yongjie Liu, Shanji Fan, Jiaying Ye, Feng Yuan, Jing Liu, Lijia Wang International Journal of Biological Macromolecules , 2025 paper A review of emerging applications of deuterium labeling and Raman spectroscopy in biomedical research. |
Education
University of Washington
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Experience
Ubicomp Lab, University of Washington
Math AI Lab, University of Washington
Stanford Rural Education Action Program
National Clinical Research Center
for Child Health
VMware LLC
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