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Huazhen Lin
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Journal Articles
- 2022
- [j8]Jiakun Jiang, Huazhen Lin, Qingzhi Zhong, Yi Li:
Analysis of multivariate non-gaussian functional data: A semiparametric latent process approach. J. Multivar. Anal. 189: 104888 (2022) - 2019
- [j7]Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li:
Covariance-insured screening. Comput. Stat. Data Anal. 132: 100-114 (2019) - [j6]Haoqi Li, Huazhen Lin, Paul Siu Fai Yip, Yuan Li:
Estimating population size of heterogeneous populations with large data sets and a large number of parameters. Comput. Stat. Data Anal. 139: 34-44 (2019) - [j5]Xuerong Chen, Haoqi Li, Hua Liang, Huazhen Lin:
Functional response regression analysis. J. Multivar. Anal. 169: 218-233 (2019) - 2018
- [j4]Shaogao Lv, Mengying You, Huazhen Lin, Heng Lian, Jian Huang:
On the sign consistency of the Lasso for the high-dimensional Cox model. J. Multivar. Anal. 167: 79-96 (2018) - 2016
- [j3]Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li:
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates. Bioinform. 32(1): 50-57 (2016) - 2013
- [j2]Huazhen Lin, Heng Peng:
Smoothed rank correlation of the linear transformation regression model. Comput. Stat. Data Anal. 57(1): 615-630 (2013) - [j1]Huazhen Lin, Yi Li, Ming T. Tan:
Estimating a unitary effect summary based on combined survival and quantitative outcomes. Comput. Stat. Data Anal. 66: 129-139 (2013)
Conference and Workshop Papers
- 2009
- [c1]Han Yi, Ikou Kaku, Gengui Zhou, Jianhu Cai, Huazhen Lin:
An Application of Particle Swarm Optimization to Uncapacitated Multilevel Lot-Sizing Problems with Series Structure. CIS (2) 2009: 541-544
Informal and Other Publications
- 2024
- [i4]Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo:
Latent Schr{\"o}dinger Bridge Diffusion Model for Generative Learning. CoRR abs/2404.13309 (2024) - [i3]Zhiyao Tan, Ling Zhou, Huazhen Lin:
Generative adversarial learning with optimal input dimension and its adaptive generator architecture. CoRR abs/2405.03723 (2024) - [i2]Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang:
Unsupervised Transfer Learning via Adversarial Contrastive Training. CoRR abs/2408.08533 (2024) - 2018
- [i1]Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li:
Covariance-Insured Screening. CoRR abs/1805.06595 (2018)
Coauthor Index
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