Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data. - Xiang Zhan; Andrew D. Patterson; Debashis Ghosh (BMC Bioinform., 2015)

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). - Ping Guo; Desheng Fu; Yaping Cheng; Xiang Zhan (计算机科学, 2015)

A novel copy number variants kernel association test with application to autism spectrum disorders studies. - Xiang Zhan; Santhosh Girirajan; Ni Zhao; Michael C. Wu; Debashis Ghosh (Bioinform., 2016)

ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data. - Songshan Yang; Jiawei Wen; Xiang Zhan; Daniel Kifer (CoRR, 2018)

ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data. - Songshan Yang; Jiawei Wen; Xiang Zhan; Daniel Kifer (KDD, 2019)

Video dehazing based on CNN. - Xing Zhao; Ting Zhang; Xiang Zhan; Wenxin Chen (ICMIP, 2020)

Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning. - Songshan Yang; Jiawei Wen; Scott T. Eckert; Yaqun Wang; Dajiang J. Liu; Rongling Wu; Runze Li 001; Xiang Zhan (Bioinform., 2020)

Cross-Axis Coupling Effects in Single-Axis Nuclear Magnetic Resonance Gyroscopes. - Zhiguo Wang; Yi Zhang; Xiang Zhan; Qiyuan Jiang; Hui Luo (Sensors, 2020)

MiRKAT: kernel machine regression-based global association tests for the microbiome. - Nehemiah Wilson; Ni Zhao; Xiang Zhan; Hyunwook Koh; Weijia Fu; Jun Chen; Hongzhe Li; Michael C. Wu; Anna M. Plantinga (Bioinform., 2021)

Research of Contextual Semantic Reasoning Model Based on Domain Ontology. - Jinhai Li; Yunlei Ma; Xiang Zhan; Jiaming Pei (Sci. Program., 2021)

Testing microbiome association using integrated quantile regression models. - Tianying Wang; Wodan Ling; Anna M. Plantinga; Michael C. Wu; Xiang Zhan (Bioinform., 2022)

Nonlinear predictive directions in clinical trials. - Youngjoo Cho; Xiang Zhan; Debashis Ghosh (Comput. Stat. Data Anal., 2022)

Recursive Interval State Estimation Algorithm for Power System. - Kunxi Hu; Feixiong Chen; Zhenguo Shao; Hongbin Wu; Jiaxin Ding; Xiang Zhan (iSPEC, 2023)

Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data. - Changcheng Li; Runze Li 001; Jiawei Wen; Songshan Yang; Xiang Zhan (J. Comput. Graph. Stat., 2023)

Identification of microbial features in multivariate regression under false discovery rate control. - Arun Srinivasan; Lingzhou Xue; Xiang Zhan (Comput. Stat. Data Anal., 2023)

Demonstration of PT-symmetric quantum state discrimination. - Xiaowei Wang; Gaoyan Zhu; Lei Xiao; Xiang Zhan; Peng Xue (Quantum Inf. Process., 2024)

Compositional variable selection in quantile regression for microbiome data with false discovery rate control. - Runze Li; Jin Mu; Songshan Yang; Cong Ye; Xiang Zhan (Stat. Anal. Data Min., 2024)