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The New Jersey Institute of Technology's Electronic Theses & Dissertations Project

Guo, Wenge
has served on the committee of
27 theses/dissertations that are available online.

* indicates that the advisor was committee chair or co-chair.


Author Degree Year Title ETD#
Lin, Xiang Contact the author PhD © 2023 Model-based deep autoencoders for clustering single-cell RNA sequencing data with side information njit-etd2023-057
Li, Beibei Contact the author PhD © 2022 * Type I error rate controlling procedures for multiple hypotheses testing njit-etd2022-082
Li, Yajuan Contact the author PhD © 2022 Computation of risk measures in finance and parallel real-time scheduling njit-etd2022-037
Guo, Ziyan Contact the author PhD © 2021 Asymmetric multivariate archimedean copula models and semi-competing risks data analysis njit-etd2021-079
Lin, Zhongcheng Contact the author PhD © 2021 Dependent censoring in survival analysis njit-etd2021-096
Luan, Gan Contact the author PhD © 2021 Parameter estimation and inference of spatial autoregressive model by stochastic gradient descent njit-etd2021-072
Cheng, Chaoran Contact the author PhD © 2020 Transfer learning: bridging the gap between deep learning and domain-specific text mining njit-etd2020-010
Hou, Xiurui Contact the author PhD © 2020 Hybrid deep neural networks for mining heterogeneous data njit-etd2020-030
Lv, Liu Contact the author PhD © 2020 High-speed rail safety analysis based on dual-weighted complex network njit-etd2020-064
Meng, Zixia Contact the author MS © 2020 Model-based deep siamese autoencoder for clustering single cell rna-seq data njit-etd2020-046
Tan, Fei Contact the author PhD © 2019 Statistical machine learning methods for mining spatial and temporal data njit-etd2019-077
Tian, Tian Contact the author PhD © 2019 Model-based deep autoencoders for characterizing discrete data with application to genomic data analysis njit-etd2019-086
Zhang, Yan Contact the author PhD © 2019 * Topics on high dimensional selective inference njit-etd2019-085
Yu, Li Contact the author PhD © 2018 FWER controlling procedures in simultaneous and selective inference njit-etd2018-082
Zhu, Yalin Contact the author PhD © 2017 * Topics on multiple hypotheses testing and generalized linear model njit-etd2017-131
Ahmed, Nubyra Contact the author PhD © 2015 Methods for two-sample comparisons from censored time-to-event data njit-etd2015-038
Grandhi, Anjana Contact the author PhD © 2015 * Multiple testing procedures for complex structured hypotheses and directional decisions njit-etd2015-046
Bandha, Sonia Contact the author PhD © 2014 Data analysis and simulation for warranties and golf handicaps njit-etd2014-044
Lynch, Gavin Contact the author PhD © 2014 * The control of the false discovery rate under structured hypotheses njit-etd2014-014
Mondal, Shoubhik Contact the author PhD © 2014 Confidence bands for survival curves using model assisted cox regression njit-etd2014-096
Qiu, Zhiying Contact the author PhD © 2014 * FWER controlling procedures for testing multiple hypotheses with hierarchical structure and applications in clinical trials njit-etd2014-050
Chen, Feiyan Contact the author PhD © 2013 The goodness-of-fit tests for geometric models njit-etd2013-024
Hao, Wei Contact the author PhD © 2013 Driver injury severity at u.s. highway-rail crossings njit-etd2013-018
Lu, Xiaoyu Contact the author PhD © 2013 The application of Bayesian adaptive design and Markov model in clinical trials njit-etd2013-078
Banerjee, Rudrani Contact the author PhD © 2011 Some contributions to modeling usage sensitive warranty servicing strategies and their analyses njit-etd2011-044
Zhang, Peixin Contact the author PhD © 2011 Confidence bands for survival functions under semiparametric random censorship models njit-etd2011-067
Li, Jing Contact the author PhD © 2010 Modeling with bivariate geometric distributions njit-etd2010-097

If you have any questions please contact the ETD Team, libetd@njit.edu.

Created 4/12/01; updated 8/30/02, 06/30/05

 
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NJIT's ETD project was given an ACRL/NJ Technology Innovation Honorable Mention Award in spring 2003