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Journal Articles
- 2024
[j13]Xiaowei Wang, Gaoyan Zhu
, Lei Xiao, Xiang Zhan, Peng Xue:
Demonstration of PT-symmetric quantum state discrimination. Quantum Inf. Process. 23(1): 8 (2024)- [j12]Runze Li, Jin Mu, Songshan Yang, Cong Ye, Xiang Zhan:
Compositional variable selection in quantile regression for microbiome data with false discovery rate control. Stat. Anal. Data Min. 17(2) (2024) - 2023
- [j11]Arun Srinivasan, Lingzhou Xue, Xiang Zhan:
Identification of microbial features in multivariate regression under false discovery rate control. Comput. Stat. Data Anal. 181: 107621 (2023) - [j10]Changcheng Li, Runze Li, Jiawei Wen, Songshan Yang, Xiang Zhan:
Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data. J. Comput. Graph. Stat. 32(3): 1074-1082 (2023) - 2022
- [j9]Tianying Wang, Wodan Ling, Anna M. Plantinga, Michael C. Wu, Xiang Zhan:
Testing microbiome association using integrated quantile regression models. Bioinform. 38(2): 419-425 (2022) - [j8]Youngjoo Cho, Xiang Zhan, Debashis Ghosh:
Nonlinear predictive directions in clinical trials. Comput. Stat. Data Anal. 174: 107476 (2022) - 2021
- [j7]Nehemiah Wilson, Ni Zhao, Xiang Zhan, Hyunwook Koh, Weijia Fu, Jun Chen, Hongzhe Li, Michael C. Wu, Anna M. Plantinga:
MiRKAT: kernel machine regression-based global association tests for the microbiome. Bioinform. 37(11): 1595-1597 (2021) - [j6]Jinhai Li, Yunlei Ma, Xiang Zhan, Jiaming Pei:
Research of Contextual Semantic Reasoning Model Based on Domain Ontology. Sci. Program. 2021: 4011190:1-4011190:9 (2021) - 2020
- [j5]Songshan Yang, Jiawei Wen, Scott T. Eckert, Yaqun Wang, Dajiang J. Liu, Rongling Wu, Runze Li, Xiang Zhan:
Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning. Bioinform. 36(12): 3811-3817 (2020) - [j4]Zhiguo Wang, Yi Zhang, Xiang Zhan, Qiyuan Jiang, Hui Luo:
Cross-Axis Coupling Effects in Single-Axis Nuclear Magnetic Resonance Gyroscopes. Sensors 20(3): 734 (2020) - 2016
- [j3]Xiang Zhan, Santhosh Girirajan, Ni Zhao, Michael C. Wu, Debashis Ghosh:
A novel copy number variants kernel association test with application to autism spectrum disorders studies. Bioinform. 32(23): 3603-3610 (2016) - 2015
- [j2]Xiang Zhan, Andrew D. Patterson, Debashis Ghosh:
Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data. BMC Bioinform. 16: 77:1-77:13 (2015) - [j1]Ping Guo, Desheng Fu, Yaping Cheng, Xiang Zhan:
一种无线传感器网络双向认证协议设计及证明 (Design and Proof of Bilateral Authentication Protocol for Wireless Sensor Network). 计算机科学 42(2): 100-102 (2015)
Conference and Workshop Papers
- 2023
- [c3]Kunxi Hu, Feixiong Chen, Zhenguo Shao, Hongbin Wu, Jiaxin Ding, Xiang Zhan:
Recursive Interval State Estimation Algorithm for Power System. iSPEC 2023: 1-5 - 2020
- [c2]Xing Zhao, Ting Zhang, Xiang Zhan, Wenxin Chen:
Video dehazing based on CNN. ICMIP 2020: 56-60 - 2019
- [c1]Songshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer:
ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data. KDD 2019: 607-616
Informal and Other Publications
- 2018
- [i1]Songshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer:
ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data. CoRR abs/1810.04513 (2018)
Coauthor Index
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