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Yuanjia Wang
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2020 – today
- 2024
- [c6]Daiqi Gao, Yuanjia Wang, Donglin Zeng:
Fusing Individualized Treatment Rules Using Secondary Outcomes. AISTATS 2024: 712-720 - [i2]Xingche Guo, Donglin Zeng, Yuanjia Wang:
Reinforcement Learning with Hidden Markov Models for Discovering Decision-Making Dynamics. CoRR abs/2401.13929 (2024) - 2023
- [j3]Yuanjia Wang
, Lei Qiu
, Hui Zheng
, Qiyun Xu
:
Digitalized Global Impact Localization for Complex Composites Based on Wireless PZT Sensor Network. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2021
- [j2]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
:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [c5]Yuan Chen, Wenbo Fei, Qinxia Wang, Donglin Zeng, Yuanjia Wang:
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model. NeurIPS 2021: 27747-27760 - 2020
- [c4]Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang:
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment. NeurIPS 2020 - [i1]Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang:
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments. CoRR abs/2011.00094 (2020)
2010 – 2019
- 2019
- [c3]Peng Wu, Tianchen Xu
, Yuanjia Wang:
Learning Personalized Treatment Rules from Electronic Health Records Using Topic Modeling Feature Extraction. DSAA 2019: 392-402 - 2018
- [c2]Xuan Zhou, Yuanjia Wang, Donglin Zeng:
Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options. DSAA 2018: 565-574 - 2016
- [j1]Yuanjia Wang, Tianle Chen, Donglin Zeng:
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes. J. Mach. Learn. Res. 17: 167:1-167:37 (2016) - [c1]Yuanjia Wang, Peng Wu, Ying Liu, Chunhua Weng, Donglin Zeng:
Learning Optimal Individualized Treatment Rules from Electronic Health Record Data. ICHI 2016: 65-71
Coauthor Index
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last updated on 2024-05-14 20:26 CEST by the dblp team
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