Ji Zhu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
Capturing the form of feature interactions in black-box models.
Inf. Process. Manag., 2023

2022
Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus.
BMC Medical Informatics Decis. Mak., 2022

Revealing the structure of prediction models through feature interaction detection.
Knowl. Based Syst., 2022

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.
J. Mach. Learn. Res., 2022

2021
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort.
BMC Medical Informatics Decis. Mak., 2021

Factors Affecting the Physical Education Practice Teaching Effect of University Students.
Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

2020
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression.
Technometrics, 2020

An Approach of Spectra Standardization and Qualitative Identification for Biomedical Materials Based on Terahertz Spectroscopy.
Sci. Program., 2020

A Flexible Latent Space Model for Multilayer Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Covariance-insured screening.
Comput. Stat. Data Anal., 2019

A Flexible Generative Framework for Graph-based Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Attention-Based Hybrid Network for Automatic Detection of Alzheimer's Disease from Narrative Speech.
Proceedings of the Interspeech 2019, 2019

2018
The impact of uncertain rewards on customers' recommendation intention in social networks.
Internet Res., 2018

Receiver responses to referral reward programs in social networks.
Electron. Commer. Res., 2018

Properties Emulation on TD-LTE Electric Power Wireless Private.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017
A Note on the Unification of Adaptive Online Learning.
IEEE Trans. Neural Networks Learn. Syst., 2017

2016
Exploring the sequential usage patterns of mobile Internet services based on Markov models.
Electron. Commer. Res. Appl., 2016

Classification with Ultrahigh-Dimensional Features.
CoRR, 2016

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.
Bioinform., 2016

Cloud removal from the AVHRR/2 images with cloud and snow over Qinghai-Tibet Plateau.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Person Re-identification Using Cascade Filter.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015
Two-Stage Regularized Linear Discriminant Analysis for 2-D Data.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.
Technometrics, 2015

Regularized Semiparametric Estimation for Ordinary Differential Equations.
Technometrics, 2015

2014
Comment: Model Selection With Strong and Weak Heredity Constraints.
Technometrics, 2014

2013
Identifying influential nodes in complex networks with community structure.
Knowl. Based Syst., 2013

2012
Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder.
Mark. Sci., 2012

Predicting customer churn through interpersonal influence.
Knowl. Based Syst., 2012

2011
Reduced rank ridge regression and its kernel extensions.
Stat. Anal. Data Min., 2011

Recent Advances in Cloud Security.
J. Comput., 2011

Quantifying Information Leakage in Finite Order Deterministic Programs.
Proceedings of IEEE International Conference on Communications, 2011

Poster: on quantitative information flow metrics.
Proceedings of the 18th ACM Conference on Computer and Communications Security, 2011

2010
Financial market forecasting using a two-step kernel learning method for the support vector regression.
Ann. Oper. Res., 2010

Image denoising via solution paths.
Ann. Oper. Res., 2010

2009
REMAS: a new regression model to identify alternative splicing events from exon array data.
BMC Bioinform., 2009

Pathway Detection Based on Hierarchical LASSO Regression Model.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Hybrid huberized support vector machines for microarray classification and gene selection.
Bioinform., 2008

2007
Variable Selection for the Linear Support Vector Machine.
Proceedings of the Trends in Neural Computation, 2007

Efficient Computation and Model Selection for the Support Vector Regression.
Neural Comput., 2007

Improved centroids estimation for the nearest shrunken centroid classifier.
Bioinform., 2007

Analysis of array CGH data for cancer studies using fused quantile regression.
Bioinform., 2007

Hybrid huberized support vector machines for microarray classification.
Proceedings of the Machine Learning, 2007

<i>l</i><sub>1</sub> Regularization in Infinite Dimensional Feature Spaces.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

Variable Selection for Optimal Decision Making.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
A Semi-supervised SVM for Manifold Learning.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Analysis of the Bioinformatics Grid Technique Applications in China.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

Sparse, Flexible and Efficient Modeling using L 1 Regularization.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005
Computing the Solution Path for the Regularized Support Vector Regression.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
The System Recovery Benchmark.
Proceedings of the 10th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2004), 2004

2003
Robustness Benchmarking for Hardware Maintenance Events.
Proceedings of the 2003 International Conference on Dependable Systems and Networks (DSN 2003), 2003

A System Recovery Benchmark for Clusters.
Proceedings of the 2003 IEEE International Conference on Cluster Computing (CLUSTER 2003), 2003

2002
Automatic Generation of Availability Models in RAScad.
Proceedings of the 2002 International Conference on Dependable Systems and Networks (DSN 2002), 2002


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