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ORCIDHongzhe Li
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2020 – today
- 2024
[j31]Hongzhe Li, Xianqiang He, Yan Bai, Fang Gong, Teng Li, Difeng Wang
:
Intelligent Recognition of Coastal Outfall Drainage Based on Sentinel-2/MSI Imagery. Remote. Sens. 16(2): 423 (2024)- [i3]Binghao Yan, Yunbi Nam, Lingyao Li, Rebecca A. Deek, Hongzhe Li, Siyuan Ma:
Recent advances in deep learning and language models for studying the microbiome. CoRR abs/2409.10579 (2024) - 2023
- [j30]Linjun Huang, Han Song, Zecheng Wang, Hongzhe Li, Delong Ma, Peng Yu:
The Study of 2-D Magnetic Focusing Inversion Based on the Adjustable Exponential Minimum Support Stabilizing Functional. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [j29]Jingjing Huang, Difeng Wang, Shuping Pan, Hongzhe Li, Fang Gong, Haoyan Hu, Xianqiang He, Yan Bai, Zhuoqi Zheng:
A New High-Resolution Remote Sensing Monitoring Method for Nutrients in Coastal Waters. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [i2]Hongzhe Zhang, Hongzhe Li:
Transfer Learning with Random Coefficient Ridge Regression. CoRR abs/2306.15915 (2023) - 2022
- [i1]Changxiao Cai, T. Tony Cai, Hongzhe Li:
Transfer Learning for Contextual Multi-armed Bandits. CoRR abs/2211.12612 (2022) - 2021
- [j28]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) - [j27]Michael B. Sohn, Jiarui Lu, Hongzhe Li:
A compositional mediation model for a binary outcome: Application to microbiome studies. Bioinform. 38(1): 16-21 (2021) - [j26]T. Tony Cai, Hongzhe Li, Rong Ma:
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates. J. Mach. Learn. Res. 22: 46:1-46:45 (2021) - 2020
- [c10]Hongzhe Li, Sirun Xu, Saifei Li, Guangcheng Sun, Xiaowei Zhang, Lianshan Yan:
Trust-driven Distributed Self-collaborative Security Architecture of IoT Based on Blockchain and Smart Contracts. VTC Fall 2020: 1-5
2010 – 2019
- 2019
- [j25]Jai Woo Lee, Erika L. Moen, Tracy Punshon, Anne Gatewood Hoen, Delisha Stewart, Hongzhe Li, Margaret R. Karagas, Jiang Gui:
An Integrated Gaussian Graphical Model to evaluate the impact of exposures on metabolic networks. Comput. Biol. Medicine 114 (2019) - 2018
- [j24]Ravy K. Vajravelu, Frank I. Scott, Ronac Mamtani, Hongzhe Li, Jason H. Moore, James D. Lewis:
Medication class enrichment analysis: a novel algorithm to analyze multiple pharmacologic exposures simultaneously using electronic health record data. J. Am. Medical Informatics Assoc. 25(7): 780-789 (2018) - 2017
- [j23]Zheng-Zheng Tang, Guanhua Chen, Alexander V. Alekseyenko, Hongzhe Li:
A general framework for association analysis of microbial communities on a taxonomic tree. Bioinform. 33(9): 1278-1285 (2017) - [j22]Munkhbayar Bat-Erdene, Hyundo Park, Hongzhe Li, Heejo Lee, Mahn-Soo Choi:
Entropy analysis to classify unknown packing algorithms for malware detection. Int. J. Inf. Sec. 16(3): 227-248 (2017) - [j21]Sihai Dave Zhao, T. Tony Cai, Hongzhe Li:
Optimal detection of weak positive latent dependence between two sequences of multiple tests. J. Multivar. Anal. 160: 169-184 (2017) - 2016
- [j20]Eric Z. Chen, Hongzhe Li:
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data. Bioinform. 32(17): 2611-2617 (2016) - [j19]Hongzhe Li, Hyuckmin Kwon, Jonghoon Kwon, Heejo Lee:
CLORIFI: software vulnerability discovery using code clone verification. Concurr. Comput. Pract. Exp. 28(6): 1900-1917 (2016) - [j18]Hongzhe Li, Jaesang Oh, Heejo Lee:
Detecting Violations of Security Requirements for Vulnerability Discovery in Source Code. IEICE Trans. Inf. Syst. 99-D(9): 2385-2389 (2016) - [c9]Hongzhe Li, Jaesang Oh, Hakjoo Oh, Heejo Lee:
Automated Source Code Instrumentation for Verifying Potential Vulnerabilities. SEC 2016: 211-226 - 2015
- [j17]Brendan J. Kelly, Robert Gross, Kyle Bittinger, Scott A. Sherrill-Mix, James D. Lewis, Ronald G. Collman, Frederic D. Bushman, Hongzhe Li:
Power and sample-size estimation for microbiome studies using pairwise distances and PERMANOVA. Bioinform. 31(15): 2461-2468 (2015) - [j16]Li Chen, Han Liu, Jean-Pierre A. Kocher, Hongzhe Li, Jun Chen:
glmgraph: an R package for variable selection and predictive modeling of structured genomic data. Bioinform. 31(24): 3991-3993 (2015) - 2014
- [j15]Wei Wang, Zhi Wei, Hongzhe Li:
A change-point model for identifying 3′UTR switching by next-generation RNA sequencing. Bioinform. 30(15): 2162-2170 (2014) - [j14]Shiyuan He, Jianxin Yin, Hongzhe Li, Xing Wang:
Graphical model selection and estimation for high dimensional tensor data. J. Multivar. Anal. 128: 165-185 (2014) - 2013
- [j13]Jianxin Yin, Hongzhe Li:
Adjusting for high-dimensional covariates in sparse precision matrix estimation by ℓ1-penalization. J. Multivar. Anal. 116: 365-381 (2013) - [c8]Hongzhe Li, Taebeom Kim, Munkhbayar Bat-Erdene, Heejo Lee:
Software Vulnerability Detection Using Backward Trace Analysis and Symbolic Execution. ARES 2013: 446-454 - [c7]Munkhbayar Bat-Erdene, Taebeom Kim, Hongzhe Li, Heejo Lee:
Dynamic classification of packing algorithms for inspecting executables using entropy analysis. MALWARE 2013: 19-26 - 2012
- [j12]Jun Chen, Kyle Bittinger, Emily S. Charlson, Christian Hoffmann, James D. Lewis, Gary D. Wu, Ronald G. Collman, Frederic D. Bushman, Hongzhe Li:
Associating microbiome composition with environmental covariates using generalized UniFrac distances. Bioinform. 28(16): 2106-2113 (2012) - [j11]Jianxin Yin, Hongzhe Li:
Model selection and estimation in the matrix normal graphical model. J. Multivar. Anal. 107: 119-140 (2012) - 2011
- [c6]Guangping Hao, Fanzhu Meng, Hongzhe Li, Zhihong Wang, Zhaonan Zhong:
The design of cable-climbing robot. EMEIT 2011: 2208-2211 - [c5]Xiaoteng Tang, Cheng-kun Tang, Hongzhe Li:
Inertial space tracking for free-floating space robot manipulator using RBF-NN based compensating control algorithm. ROBIO 2011: 756-760 - [c4]Xiaoteng Tang, Cheng-kun Tang, Hongzhe Li:
A backstepping robust control method for free-floating space robot system with dual-arms. ROBIO 2011: 761-765 - [p1]Hongzhe Li:
Hidden Markov Random Field Models for Network-Based Analysis of Genomic Data. Handbook of Statistical Bioinformatics 2011: 353-368 - 2010
- [j10]Ramon Xulvi-Brunet, Hongzhe Li:
Co-expression networks: graph properties and topological comparisons. Bioinform. 26(2): 205-214 (2010)
2000 – 2009
- 2008
- [j9]Caiyan Li, Hongzhe Li:
Network-constrained regularization and variable selection for analysis of genomic data. Bioinform. 24(9): 1175-1182 (2008) - [j8]Caiyan Li, Hongzhe Li:
In Response to Comment on "Network-constrained regularization and variable selection for analysis of genomic data". Bioinform. 24(21): 2569 (2008) - 2007
- [j7]Lifeng Wang, Guang Chen, Hongzhe Li:
Group SCAD regression analysis for microarray time course gene expression data. Bioinform. 23(12): 1486-1494 (2007) - [j6]Zhi Wei, Hongzhe Li:
A Markov random field model for network-based analysis of genomic data. Bioinform. 23(12): 1537-1544 (2007) - 2005
- [j5]Hongzhe Li, Yihui Luan:
Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data. Bioinform. 21(10): 2403-2409 (2005) - [j4]Jiang Gui, Hongzhe Li:
Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. Bioinform. 21(13): 3001-3008 (2005) - [c3]Jiang Gui, Hongzhe Li:
Threshold Gradient Descent Method for Censored Data Regression with Applications in Pharmacogenomics. Pacific Symposium on Biocomputing 2005 - 2004
- [j3]Yihui Luan, Hongzhe Li:
Model-based methods for identifying periodically expressed genes based on time course microarray gene expression data. Bioinform. 20(3): 332-339 (2004) - [j2]Lexin Li, Hongzhe Li:
Dimension reduction methods for microarrays with application to censored survival data. Bioinform. 20(18): 3406-3412 (2004) - [c2]Hongzhe Li, Jiang Gui:
Partial Cox regression analysis for high-dimensional microarray gene expression data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 208-215 - 2003
- [j1]Yihui Luan, Hongzhe Li:
Clustering of time-course gene expression data using a mixed-effects model with B-splines. Bioinform. 19(4): 474-482 (2003) - [c1]Hongzhe Li, Yihui Luan:
Kernel Cox Regression Models for Linking Gene Expression Profiles to Censored Survival Data. Pacific Symposium on Biocomputing 2003: 65-76
Coauthor Index
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