Kernel Cox Regression Models for Linking Gene Expression Profiles to Censored Survival Data. - Hongzhe Li; Yihui Luan (Pacific Symposium on Biocomputing, 2003)

Clustering of time-course gene expression data using a mixed-effects model with B-splines. - Yihui Luan; Hongzhe Li (Bioinform., 2003)

Partial Cox regression analysis for high-dimensional microarray gene expression data. - Hongzhe Li; Jiang Gui (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Dimension reduction methods for microarrays with application to censored survival data. - Lexin Li; Hongzhe Li (Bioinform., 2004)

Model-based methods for identifying periodically expressed genes based on time course microarray gene expression data. - Yihui Luan; Hongzhe Li (Bioinform., 2004)

Threshold Gradient Descent Method for Censored Data Regression with Applications in Pharmacogenomics. - Jiang Gui; Hongzhe Li (Pacific Symposium on Biocomputing, 2005)

Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. - Jiang Gui; Hongzhe Li (Bioinform., 2005)

Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data. - Hongzhe Li; Yihui Luan (Bioinform., 2005)

Group SCAD regression analysis for microarray time course gene expression data. - Lifeng Wang; Guang Chen; Hongzhe Li (Bioinform., 2007)

A Markov random field model for network-based analysis of genomic data. - Zhi Wei 001; Hongzhe Li (Bioinform., 2007)

Network-constrained regularization and variable selection for analysis of genomic data. - Caiyan Li; Hongzhe Li (Bioinform., 2008)

In Response to Comment on "Network-constrained regularization and variable selection for analysis of genomic data". - Caiyan Li; Hongzhe Li (Bioinform., 2008)

Co-expression networks: graph properties and topological comparisons. - Ramon Xulvi-Brunet; Hongzhe Li (Bioinform., 2010)

Hidden Markov Random Field Models for Network-Based Analysis of Genomic Data. - Hongzhe Li (Handbook of Statistical Bioinformatics, 2011)

The design of cable-climbing robot. - Guangping Hao; Fanzhu Meng; Hongzhe Li; Zhihong Wang; Zhaonan Zhong (EMEIT, 2011)

Inertial space tracking for free-floating space robot manipulator using RBF-NN based compensating control algorithm. - Xiaoteng Tang; Cheng-kun Tang; Hongzhe Li (ROBIO, 2011)

A backstepping robust control method for free-floating space robot system with dual-arms. - Xiaoteng Tang; Cheng-kun Tang; Hongzhe Li (ROBIO, 2011)

Associating microbiome composition with environmental covariates using generalized UniFrac distances. - Jun Chen; Kyle Bittinger; Emily S. Charlson; Christian Hoffmann 005; James D. Lewis; Gary D. Wu; Ronald G. Collman; Frederic D. Bushman; Hongzhe Li (Bioinform., 2012)

Model selection and estimation in the matrix normal graphical model. - Jianxin Yin; Hongzhe Li (J. Multivar. Anal., 2012)

Software Vulnerability Detection Using Backward Trace Analysis and Symbolic Execution. - Hongzhe Li; Taebeom Kim; Munkhbayar Bat-Erdene; Heejo Lee (ARES, 2013)

Dynamic classification of packing algorithms for inspecting executables using entropy analysis. - Munkhbayar Bat-Erdene; Taebeom Kim; Hongzhe Li; Heejo Lee (MALWARE, 2013)

Adjusting for high-dimensional covariates in sparse precision matrix estimation by ℓ1-penalization. - Jianxin Yin; Hongzhe Li (J. Multivar. Anal., 2013)

A change-point model for identifying 3′UTR switching by next-generation RNA sequencing. - Wei Wang 080; Zhi Wei 001; Hongzhe Li (Bioinform., 2014)

Graphical model selection and estimation for high dimensional tensor data. - Shiyuan He; Jianxin Yin; Hongzhe Li; Xing Wang (J. Multivar. Anal., 2014)

glmgraph: an R package for variable selection and predictive modeling of structured genomic data. - Li Chen 029; Han Liu 001; Jean-Pierre A. Kocher; Hongzhe Li; Jun Chen (Bioinform., 2015)

Power and sample-size estimation for microbiome studies using pairwise distances and PERMANOVA. - Brendan J. Kelly; Robert Gross; Kyle Bittinger; Scott A. Sherrill-Mix; James D. Lewis; Ronald G. Collman; Frederic D. Bushman; Hongzhe Li (Bioinform., 2015)

Automated Source Code Instrumentation for Verifying Potential Vulnerabilities. - Hongzhe Li; Jaesang Oh; Hakjoo Oh; Heejo Lee (SEC, 2016)

A two-part mixed-effects model for analyzing longitudinal microbiome compositional data. - Eric Z. Chen; Hongzhe Li (Bioinform., 2016)

CLORIFI: software vulnerability discovery using code clone verification. - Hongzhe Li; Hyuckmin Kwon; Jonghoon Kwon; Heejo Lee (Concurr. Comput. Pract. Exp., 2016)

Detecting Violations of Security Requirements for Vulnerability Discovery in Source Code. - Hongzhe Li; Jaesang Oh; Heejo Lee (IEICE Trans. Inf. Syst., 2016)

A general framework for association analysis of microbial communities on a taxonomic tree. - Zheng-Zheng Tang; Guanhua Chen 002; Alexander V. Alekseyenko; Hongzhe Li (Bioinform., 2017)

Entropy analysis to classify unknown packing algorithms for malware detection. - Munkhbayar Bat-Erdene; Hyundo Park; Hongzhe Li; Heejo Lee; Mahn-Soo Choi (Int. J. Inf. Sec., 2017)

Optimal detection of weak positive latent dependence between two sequences of multiple tests. - Sihai Dave Zhao; T. Tony Cai; Hongzhe Li (J. Multivar. Anal., 2017)

Medication class enrichment analysis: a novel algorithm to analyze multiple pharmacologic exposures simultaneously using electronic health record data. - Ravy K. Vajravelu; Frank I. Scott; Ronac Mamtani; Hongzhe Li; Jason H. Moore; James D. Lewis (J. Am. Medical Informatics Assoc., 2018)

An Integrated Gaussian Graphical Model to evaluate the impact of exposures on metabolic networks. - Jai Woo Lee; Erika L. Moen; Tracy Punshon; Anne Gatewood Hoen; Delisha Stewart; Hongzhe Li; Margaret R. Karagas; Jiang Gui (Comput. Biol. Medicine, 2019)

Trust-driven Distributed Self-collaborative Security Architecture of IoT Based on Blockchain and Smart Contracts. - Hongzhe Li; Sirun Xu; Saifei Li; Guangcheng Sun; Xiaowei Zhang; Lianshan Yan (VTC Fall, 2020)

A compositional mediation model for a binary outcome: Application to microbiome studies. - Michael B. Sohn; Jiarui Lu; Hongzhe Li (Bioinform., 2021)

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)

Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates. - T. Tony Cai; Hongzhe Li; Rong Ma (J. Mach. Learn. Res., 2021)

Transfer Learning for Contextual Multi-armed Bandits. - Changxiao Cai; T. Tony Cai; Hongzhe Li (CoRR, 2022)

Transfer Learning with Random Coefficient Ridge Regression. - Hongzhe Zhang; Hongzhe Li (CoRR, 2023)

The Study of 2-D Magnetic Focusing Inversion Based on the Adjustable Exponential Minimum Support Stabilizing Functional. - Linjun Huang; Han Song; Zecheng Wang; Hongzhe Li; Delong Ma; Peng Yu (IEEE Trans. Geosci. Remote. Sens., 2023)

A New High-Resolution Remote Sensing Monitoring Method for Nutrients in Coastal Waters. - Jingjing Huang; Difeng Wang; Shuping Pan; Hongzhe Li; Fang Gong; Haoyan Hu; Xianqiang He; Yan Bai; Zhuoqi Zheng (IEEE Trans. Geosci. Remote. Sens., 2023)

Recent advances in deep learning and language models for studying the microbiome. - Binghao Yan; Yunbi Nam; Lingyao Li; Rebecca A. Deek; Hongzhe Li; Siyuan Ma (CoRR, 2024)

Intelligent Recognition of Coastal Outfall Drainage Based on Sentinel-2/MSI Imagery. - Hongzhe Li; Xianqiang He; Yan Bai; Fang Gong; Teng Li 007; Difeng Wang (Remote. Sens., 2024)

Test of partial effects for Frechet regression on Bures-Wasserstein manifolds. - Haoshu Xu; Hongzhe Li (CoRR, 2025)

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation. - Zhiwei Yi; Xin Cheng; Jingyu Ma; Ruifei Zhu; Junwei Tian; Yuanxiu Zhou; Xinge Zhao; Hongzhe Li (CoRR, 2025)