Yuanjia Wang

According to our database, Yuanjia Wang authored at least 10 papers between 2016 and 2024.

Collaborative distances:

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

2024

Reinforcement Learning with Hidden Markov Models for Discovering Decision-Making Dynamics.

Xingche Guo, Donglin Zeng, Yuanjia Wang

CoRR, 2024

2023

Digitalized Global Impact Localization for Complex Composites Based on Wireless PZT Sensor Network.

Yuanjia Wang, Lei Qiu, Hui Zheng, Qiyun Xu

IEEE Trans. Instrum. Meas., 2023

2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model.

Yuan Chen, Wenbo Fei, Qinxia Wang, Donglin Zeng, Yuanjia Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments.

Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang

CoRR, 2020

Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment.

Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning Personalized Treatment Rules from Electronic Health Records Using Topic Modeling Feature Extraction.

Peng Wu, Tianchen Xu, Yuanjia Wang

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options.

Xuan Zhou, Yuanjia Wang, Donglin Zeng

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2016

Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes.

Yuanjia Wang, Tianle Chen, Donglin Zeng

J. Mach. Learn. Res., 2016

Learning Optimal Individualized Treatment Rules from Electronic Health Record Data.

Yuanjia Wang, Peng Wu, Ying Liu, Chunhua Weng, Donglin Zeng

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016