Kun Chen

25 papers A* 2Misc 3Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Using transfer learning to improve prediction of suicide risk in acute care hospitals.
J. Am. Medical Informatics Assoc.
Shane Sacco, Kun Chen, Fei Wang, Steven Rogers, Robert H. Aseltine
2024 J jnl
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis.
Trans. Mach. Learn. Res.
Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He
2024 J jnl
Transfer Learning with Large-Scale Quantile Regression.
Technometrics
Jun Jin, Jun Yan, Robert H. Aseltine, Kun Chen
2022 A* conf
Collaboration Equilibrium in Federated Learning.
KDD
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2022 J jnl
Fast Stagewise Sparse Factor Regression.
J. Mach. Learn. Res.
Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng
2022 J jnl
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data.
J. Am. Medical Informatics Assoc.
Wanwan Xu, Chang Su, Yan Li, Steven Rogers, Fei Wang, Kun Chen, Robert H. Aseltine
2022 J jnl
Multivariate Functional Regression Via Nested Reduced-Rank Regularization.
J. Comput. Graph. Stat.
Xiaokang Liu, Shujie Ma, Kun Chen
2022 J jnl
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data.
CoRR
Jianmin Chen, Robert H. Aseltine, Fei Wang, Kun Chen
2021 J jnl
Correcting the User Feedback-Loop Bias for Recommendation Systems.
CoRR
Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang
2021 J jnl
Generalized co-sparse factor regression.
Comput. Stat. Data Anal.
Aditya Mishra, Dipak K. Dey, Yong Chen, Kun Chen
2021 J jnl
Learning to Collaborate.
CoRR
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2021 Misc conf
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
AMIA
Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang
2020 J jnl
Pursuing Sources of Heterogeneity in Modeling Clustered Population.
CoRR
Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen
2020 J jnl
Robust Finite Mixture Regression for Heterogeneous Targets.
CoRR
Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
2020 J jnl
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix.
CoRR
Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng
2019 J jnl
SOFAR: Large-Scale Association Network Learning.
IEEE Trans. Inf. Theory
Yoshimasa Uematsu, Yingying Fan, Kun Chen, Jinchi Lv, Wei Lin
2018 A* conf
Boosted Sparse and Low-Rank Tensor Regression.
NeurIPS
Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
2018 J jnl
Boosted Sparse and Low-Rank Tensor Regression.
CoRR
Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
2018 J jnl
Leveraging mixed and incomplete outcomes via reduced-rank modeling.
J. Multivar. Anal.
Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen
2018 Misc conf
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
AMIA
Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
2018 J jnl
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
CoRR
Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
2018 J jnl
Robust finite mixture regression for heterogeneous targets.
Data Min. Knowl. Discov.
Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
2017 J jnl
Bayesian sparse reduced rank multivariate regression.
J. Multivar. Anal.
Gyuhyeong Goh, Dipak K. Dey, Kun Chen
2017 J jnl
Finite mixture modeling of censored data using the multivariate Student-t distribution.
J. Multivar. Anal.
Victor H. Lachos, Edgar J. López Moreno, Kun Chen, Celso Rômulo Barbosa Cabral
2016 Misc conf
Using Hospitalization and Suicide Mortality Data to Identify Subpopulation of High Suicide Risk via Survival Modeling.
AMIA
Kun Chen, Fei Wang, Robert H. Aseltine