Yuanjia Wang

15 papers A* 2A 1B 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes.
CoRR
Yuying Lu, Wenbo Fei, Yuanjia Wang, Molei Liu
2025 J jnl
Joint Modeling for Learning Decision-Making Dynamics in Behavioral Experiments.
CoRR
Yuan Bian, Xingche Guo, Yuanjia Wang
2024 A conf
Fusing Individualized Treatment Rules Using Secondary Outcomes.
AISTATS
Daiqi Gao, Yuanjia Wang, Donglin Zeng
2024 J jnl
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls.
J. Mach. Learn. Res.
Mochuan Liu, Yuanjia Wang, Haoda Fu, Donglin Zeng
2024 — conf
Network-Assisted Mediation Analysis with High-Dimensional Neuroimaging Mediators.
MLHC
Baoyi Shi, Ying Liu, Shanghong Xie, Xi Zhu, Yuanjia Wang
2024 J jnl
Reinforcement Learning with Hidden Markov Models for Discovering Decision-Making Dynamics.
CoRR
Xingche Guo, Donglin Zeng, Yuanjia Wang
2023 J jnl
Digitalized Global Impact Localization for Complex Composites Based on Wireless PZT Sensor Network.
IEEE Trans. Instrum. Meas.
Yuanjia Wang, Lei Qiu, Hui Zheng, Qiyun Xu
2021 J jnl
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine
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
2021 A* conf
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model.
NeurIPS
Yuan Chen, Wenbo Fei, Qinxia Wang, Donglin Zeng, Yuanjia Wang
2020 A* conf
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment.
NeurIPS
Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang
2020 J jnl
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments.
CoRR
Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang
2019 B conf
Learning Personalized Treatment Rules from Electronic Health Records Using Topic Modeling Feature Extraction.
DSAA
Peng Wu, Tianchen Xu, Yuanjia Wang
2018 B conf
Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options.
DSAA
Xuan Zhou, Yuanjia Wang, Donglin Zeng
2016 — conf
Learning Optimal Individualized Treatment Rules from Electronic Health Record Data.
ICHI
Yuanjia Wang, Peng Wu, Ying Liu, Chunhua Weng, Donglin Zeng
2016 J jnl
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes.
J. Mach. Learn. Res.
Yuanjia Wang, Tianle Chen, Donglin Zeng