Kun Chen

According to our database, Kun Chen authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Transfer Learning with Large-Scale Quantile Regression.

Jun Jin, Jun Yan, Robert H. Aseltine, Kun Chen

Technometrics, July, 2024

A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis.

Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He

Trans. Mach. Learn. Res., 2024

2022

Fast Stagewise Sparse Factor Regression.

Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng

J. Mach. Learn. Res., 2022

Multivariate Functional Regression Via Nested Reduced-Rank Regularization.

Xiaokang Liu, Shujie Ma, Kun Chen

J. Comput. Graph. Stat., 2022

Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data.

Wanwan Xu, Chang Su, Yan Li, Steven Rogers, Fei Wang, Kun Chen, Robert H. Aseltine

J. Am. Medical Informatics Assoc., 2022

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data.

Jianmin Chen, Robert H. Aseltine, Fei Wang, Kun Chen

CoRR, 2022

Collaboration Equilibrium in Federated Learning.

Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Generalized co-sparse factor regression.

Aditya Mishra, Dipak K. Dey, Yong Chen, Kun Chen

Comput. Stat. Data Anal., 2021

Correcting the User Feedback-Loop Bias for Recommendation Systems.

Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang

CoRR, 2021

Learning to Collaborate.

Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang

CoRR, 2021

Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.

Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix.

Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng

CoRR, 2020

Pursuing Sources of Heterogeneity in Modeling Clustered Population.

Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen

CoRR, 2020

2019

SOFAR: Large-Scale Association Network Learning.

Yoshimasa Uematsu, Yingying Fan, Kun Chen, Jinchi Lv, Wei Lin

IEEE Trans. Inf. Theory, 2019

2018

Leveraging mixed and incomplete outcomes via reduced-rank modeling.

Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen

J. Multivar. Anal., 2018

Robust finite mixture regression for heterogeneous targets.

Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang

Data Min. Knowl. Discov., 2018

Boosted Sparse and Low-Rank Tensor Regression.

Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.

Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang

Proceedings of the AMIA 2018, 2018

2017

Finite mixture modeling of censored data using the multivariate Student-t distribution.

Victor H. Lachos, Edgar J. López Moreno, Kun Chen, Celso Rômulo Barbosa Cabral

J. Multivar. Anal., 2017

Bayesian sparse reduced rank multivariate regression.

Gyuhyeong Goh, Dipak K. Dey, Kun Chen

J. Multivar. Anal., 2017

2016

Using Hospitalization and Suicide Mortality Data to Identify Subpopulation of High Suicide Risk via Survival Modeling.

Kun Chen, Fei Wang, Robert H. Aseltine

Proceedings of the AMIA 2016, 2016