Runze Yan

According to our database, Runze Yan authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Learning ECG Representations via Poly-Window Contrastive Learning.

Yi Yuan, Joseph Van Duyn, Runze Yan, Zhuoyi Huang, Sulaiman Vesal, Sergey Plis, Xiao Hu, Gloria Hyunjung Kwak, Ran Xiao, Alex Fedorov

CoRR, August, 2025

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies.

Runze Yan, Xun Shen, Akifumi Wachi, Sebastien Gros, Anni Zhao, Xiao Hu

CoRR, May, 2025

GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals.

Zhaoliang Chen, Cheng Ding, Saurabh Kataria, Runze Yan, Minxiao Wang, Randall J. Lee, Xiao Hu

CoRR, March, 2025

Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis.

Luwei Zeng, Runze Yan

CoRR, January, 2025

CtrlFuzz: A controllable diffusion-based fuzz testing for deep neural networks via coverage-aware manifold guidance.

Aoshuang Ye, Shilin Zhang, Runze Yan, Jianpeng Ke, Fei Zhu, Benxiao Tang

Inf. Softw. Technol., 2025

PTGaze: Cross-Domain Gaze Estimation via Proxy Tuning.

Yafei Wang, Runze Yan, Yaxiong Lei, Xianping Fu

Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

2024

Measuring Spiritual Values and Bias of Large Language Models.

Songyuan Liu, Ziyang Zhang, Runze Yan, Wei Wu, Carl Yang, Jiaying Lu

CoRR, 2024

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals.

Runze Yan, Cheng Ding, Ran Xiao, Aleksandr Fedorov, Randall J. Lee, Fadi B. Nahab, Xiao Hu

CoRR, 2024

Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators.

Runze Yan, Neal K. Bhatia, Faisal M. Merchant, Alex Fedorov, Ran Xiao, Cheng Ding, Xiao Hu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals.

Runze Yan, Cheng Ding, Ran Xiao, Alex Fedorov, Randall J. Lee, Fadi B. Nahab, Xiao Hu

Proceedings of the Conference on Health, 2024

2023

Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics.

Jingyi Gao, Runze Yan, Afsaneh Doryab

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams.

Runze Yan, Xinwen Liu, Janine M. Dutcher, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, J. David Creswell, Kasey G. Creswell, Jennifer Mankoff, Anind K. Dey, Afsaneh Doryab

ACM Trans. Intell. Syst. Technol., 2022

Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior.

Runze Yan, Whitney R. Ringwald, Julio Vega, Madeline Kehl, Sangwon Bae, Anind K. Dey, Carissa A. Low, Aidan G. C. Wright, Afsaneh Doryab

Future Gener. Comput. Syst., 2022

2021

Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams.

Runze Yan, Afsaneh Doryab

Proceedings of the Intelligent Systems and Applications, 2021

Daily Trajectory Prediction Using Temporal Frequent Pattern Tree.

Mingyi Cai, Runze Yan, Afsaneh Doryab

Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Detection of Racial Bias from Physiological Responses.

Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab

Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2021