Zhishan Guo

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All published works

Action	Title	Year	Authors
+	Fisher Information guided Purification against Backdoor Attacks	2024	Nazmul Karim Abdullah Al Arafat Adnan Siraj Rakin Zhishan Guo Nazanin Rahnavard
+ PDF Chat	Fisher Information guided Purification against Backdoor Attacks	2024	Nazmul Karim Abdullah Al Arafat Adnan Siraj Rakin Zhishan Guo Nazanin Rahnavard
+ PDF Chat	Augmented Neural Fine-Tuning for Efficient Backdoor Purification	2024	Nazmul Karim Abdullah Al Arafat Umar Khalid Zhishan Guo Nazanin Rahnavard
+ PDF Chat	ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs	2024	Xinning Hui Yuanchao Xu Zhishan Guo Xipeng Shen
+ PDF Chat	GLARE: A Dataset for Traffic Sign Detection in Sun Glare	2023	Nick Gray Megan Moraes Jiang Bian Alex Wang Allen Tian Kurt M. Wilson Yan Huang Haoyi Xiong Zhishan Guo
+	Efficient Backdoor Removal Through Natural Gradient Fine-tuning	2023	Nazmul Karim Abdullah Al Arafat Umar Khalid Zhishan Guo Naznin Rahnavard
+ PDF Chat	A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19	2022	Ashkan Farhangi Arthur Huang Zhishan Guo
+ PDF Chat	Protoformer: Embedding Prototypes for Transformers	2022	Ashkan Farhangi Ning Sui Nan Hua Haiyan Bai Arthur Huang Zhishan Guo
+	AA-Forecast: Anomaly-Aware Forecast for Extreme Events	2022	Ashkan Farhangi Jiang Bian Arthur Huang Haoyi Xiong Jun Wang Zhishan Guo
+	GLARE: A Dataset for Traffic Sign Detection in Sun Glare	2022	Nick Gray Megan Moraes Jiang Bian Allen Tian Alex Wang Haoyi Xiong Zhishan Guo
+	Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH	2022	Nitish Gupta Kurt Wilson Zhishan Guo
+ PDF Chat	Sampling Sparse Representations with Randomized Measurement Langevin Dynamics	2021	Kafeng Wang Haoyi Xiong Jiang Bian Zhanxing Zhu Qian Gao Zhishan Guo Cheng‐Zhong Xu Jun Huan Dejing Dou
+ PDF Chat	Understanding the impact of COVID-19 intervention policies on the hospitality labor market	2020	Arthur Huang Christos Makridis Mark Baker Marcos Medeiros Zhishan Guo
+	CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data	2020	Jiang Bian Sijia Yang Haoyi Xiong Licheng Wang Yanjie Fu Zeyi Sun Zhishan Guo
+ PDF Chat	SpHMC: Spectral Hamiltonian Monte Carlo	2019	Haoyi Xiong Kafeng Wang Jiang Bian Zhanxing Zhu Cheng‐Zhong Xu Zhishan Guo Jun Huan
+ PDF Chat	An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines Under Dynamic Priority Scheduling	2018	Xin Han Liang Zhao Zhishan Guo Xingwu Liu
+	<inline-formula> <tex-math notation="LaTeX">$\mathcal{DBSDA}$ </tex-math> </inline-formula>: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing	2018	Haoyi Xiong Wei Cheng Jiang Bian Wenqing Hu Zeyi Sun Zhishan Guo
+	De-biasing Covariance-Regularized Discriminant Analysis	2018	Haoyi Xiong Wei Cheng Yanjie Fu Wenqing Hu Jiang Bian Zhishan Guo
+ PDF Chat	DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms	2018	Ying Mao Victoria Green Jiayin Wang Haoyi Xiong Zhishan Guo
+	DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms.	2018	Ying Mao Victoria Green Jiayin Wang Haoyi Xiong Zhishan Guo
+	An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling	2018	Xin Han Liang Zhao Zhishan Guo Xingwu Liu
+	DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms	2018	Ying Mao Victoria Green Jiayin Wang Haoyi Xiong Zhishan Guo
+	AWDA: An Adaptive Wishart Discriminant Analysis	2017	Haoyi Xiong Wei Cheng Wenqing Hu Jiang Bian Zhishan Guo
+	FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification	2017	Haoyi Xiong Wei Cheng Wenqing Hu Jiang Bian Zhishan Guo
+	A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization	2011	Qingshan Liu Zhishan Guo Jun Wang

Common Coauthors

Coauthor	Papers Together
Haoyi Xiong	13
Jiang Bian	9
Nazmul Karim	4
Wenqing Hu	4
Abdullah Al Arafat	4
Arthur Huang	4
Wei Cheng	4
Jiayin Wang	3
Ashkan Farhangi	3
Nazanin Rahnavard	3
Xin Han	2
Cheng‐Zhong Xu	2
Umar Khalid	2
Ying Mao	2
Yanjie Fu	2
Kafeng Wang	2
Nick Gray	2
Allen Tian	2
Zhanxing Zhu	2
Zeyi Sun	2
Megan Moraes	2
Jun Huan	2
Alex Wang	2
Victoria Green	2
Xingwu Liu	2
Liang Zhao	2
Adnan Siraj Rakin	1
Marcos Medeiros	1
Kurt Wilson	1
Jun Wang	1
Jun Wang	1
Qingshan Liu	1
Nitish Gupta	1
Xipeng Shen	1
Licheng Wang	1
Qian Gao	1
Yan Huang	1
Ying Mao	1
Victoria Green	1
Nan Hua	1
Sijia Yang	1
Dejing Dou	1
Yuanchao Xu	1
Xinning Hui	1
Mark Baker	1
Adnan Siraj Rakin	1
Christos Makridis	1
Kurt M. Wilson	1
Naznin Rahnavard	1
Haiyan Bai	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Random matrix theory in pattern classification: An application to error estimation	2013	Amin Zollanvari Edward R. Dougherty	4
+	The Use of Shrinkage Estimators in Linear Discriminant Analysis	1982	Roger Peck John Van Ness	4
+	Confidence intervals for high-dimensional inverse covariance estimation	2015	Jana Janková Sara van de Geer	4
+ PDF Chat	A Direct Estimation Approach to Sparse Linear Discriminant Analysis	2011	Tommaso Cai Weidong Liu	3
+ PDF Chat	Sparse linear discriminant analysis by thresholding for high dimensional data	2011	Jun Shao Yazhen Wang Xinwei Deng Sijian Wang	3
+ PDF Chat	Covariance-Regularized Regression and Classification for high Dimensional Problems	2009	Daniela Witten Robert Tibshirani	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+	Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation	2016	Tommaso Cai Zhao Ren Harrison H. Zhou	3
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	3
+ PDF Chat	Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors	1999	Jennifer A. Hoeting David Madigan Adrian E. Raftery Chris Volinsky	2
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	2
+ PDF Chat	Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models	2013	Cun‐Hui Zhang Stephanie S. Zhang	2
+	Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling	2012	Bin Zou Luoqing Li Zongben Xu Tao Luo Yuan Tang	2
+	Informative discriminant analysis	2003	Samuel Kaski Jaakko Peltonen	2
+ PDF Chat	Bayesian Inference for a Covariance Matrix	1992	Tom Leonard J.S. Hsu	2
+ PDF Chat	Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC	2015	Sungjin Ahn Anoop Korattikara Nathan Liu Suju Rajan Max Welling	2
+	Stochastic Gradient Descent as Approximate Bayesian Inference	2017	Stephan Mandt Matthew D. Hoffman David M. Blei	2
+	New Insights and Faster Computations for the Graphical Lasso	2011	Daniela Witten Jerome H. Friedman Noah Simon	2
+ PDF Chat	DRAPS: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster	2017	Ying Mao Jenna Oak Anthony Pompili Daniel Beer Tao Han Peizhao Hu	2
+ PDF Chat	Regularized estimation of large covariance matrices	2008	Peter J. Bickel Elizaveta Levina	2
+	Direct Density Derivative Estimation	2016	Hiroaki Sasaki Yung‐Kyun Noh Gang Niu Masashi Sugiyama	2
+	Bayes Optimality in Linear Discriminant Analysis	2008	Onur C. Hamsici Aleix M. Martı́nez	2
+	Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm	2015	Pascal Germain Alexandre Lacasse François Laviolette Mario Marchand Jean-Francis Roy	2
+	Log-concave sampling: Metropolis-Hastings algorithms are fast	2018	Raaz Dwivedi Yuansi Chen Martin J. Wainwright Bin Yu	2
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	2
+	Confidence intervals and hypothesis testing for high-dimensional regression	2014	Adel Javanmard Andrea Montanari	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+ PDF Chat	Natural Langevin Dynamics for Neural Networks	2017	Gaétan Marceau-Caron Yann Ollivier	2
+ PDF Chat	Estimation of the Inverse Covariance Matrix: Random Mixtures of the Inverse Wishart Matrix and the Identity	1979	L. R. Haff	2
+ PDF Chat	EDOS: Edge Assisted Offloading System for Mobile Devices	2017	Hank H. Harvey Ying Mao Y. Thomas Hou Bo Sheng	2
+ PDF Chat	Small Sample Asymptotic Expansions for Multivariate $M$-Estimates	1982	Christopher B. Field	1
+	A Complete Recipe for Stochastic Gradient MCMC	2015	Yi-An Ma Tianqi Chen Emily B. Fox	1
+	The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator	1989	Simo Puntanen George P. H. Styan	1
+	Results in statistical discriminant analysis: a review of the former Soviet Union literature	2003	Šarūnas Raudys Dean M. Young	1
+	Anirban DasGupta: Asymptotic theory of statistics and probability	2008	Björn Bornkamp	1
+ PDF Chat	Why direct LDA is not equivalent to LDA	2006	Hui Gao J.W. Davis	1
+	A new neural network for solving linear and quadratic programming problems	1996	Youshen Xia	1
+	Fractional programming model for portfolio with probability criterion	2003	Wansheng Tang Yanqing Wang Jianfeng Liang	1
+	Maximum Likelihood Estimation	2005	Fritz Scholz	1
+ PDF Chat	Differential inclusions set-valued maps and viability theory	1986	Jean Aubin A. Cellina	1
+ PDF Chat	Learning Stable Multilevel Dictionaries for Sparse Representations	2014	Jayaraman J. Thiagarajan Karthikeyan Natesan Ramamurthy Andreas Spanias	1
+ PDF Chat	How Much Should We Trust Differences-In-Differences Estimates?	2004	Bertrand Moine Esther Duflo Sendhil Mullainathan	1
+	Sparse tensor discriminant analysis	2013	Zhihui Lai Yong Xu Jian Yang Jinhui Tang David Zhang	1
+ PDF Chat	Applied logistic regression	1990	David W. Hosmer Stanley Lemeshow	1
+	Multivariate Density Estimation: Theory, Practice, and Visualization.	1993	Guy P. Nason David W. Scott	1
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	1
+ PDF Chat	Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing	2011	Alysha De Livera Rob Hyndman Ralph D. Snyder	1
+ PDF Chat	Sparse Multivariate Regression With Covariance Estimation	2010	Adam Rothman Elizaveta Levina Ji Zhu	1
+ PDF Chat	Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions	2014	Robert J. Durrant Ata Kabán	1
+ PDF Chat	On level set regularization for highly ill-posed distributed parameter estimation problems	2006	Kees van den Doel Uri M. Ascher	1