Ji Zhu

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

Bibliography

2024

GSON: A Group-based Social Navigation Framework with Large Multimodal Model.

[BibT_eX]

[DOI]

CoRR, 2024

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations.

[BibT_eX]

[DOI]

Muhammad Abdul-Mageed

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Capturing the form of feature interactions in black-box models.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2023

2022

Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2022

Revealing the structure of prediction models through feature interaction detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2021

Factors Affecting the Physical Education Practice Teaching Effect of University Students.

[BibT_eX]

[DOI]

Ji Zhu

Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

2020

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

[BibT_eX]

[DOI]

Technometrics, 2020

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

[BibT_eX]

[DOI]

Sci. Program., 2020

A Flexible Latent Space Model for Multilayer Networks.

[BibT_eX]

[DOI]

Xuefei Zhang

Songkai Xue

Ji Zhu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Covariance-insured screening.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2019

A Flexible Generative Framework for Graph-based Semi-supervised Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jun Chen

Ji Zhu

Jieping Ye

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

The impact of uncertain rewards on customers' recommendation intention in social networks.

[BibT_eX]

[DOI]

Internet Res., 2018

Receiver responses to referral reward programs in social networks.

[BibT_eX]

[DOI]

Electron. Commer. Res., 2018

Properties Emulation on TD-LTE Electric Power Wireless Private.

[BibT_eX]

[DOI]

Shujie Lu

Jia Yu

Ji Zhu

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017

A Note on the Unification of Adaptive Online Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

2016

Exploring the sequential usage patterns of mobile Internet services based on Markov models.

[BibT_eX]

[DOI]

Electron. Commer. Res. Appl., 2016

Classification with Ultrahigh-Dimensional Features.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Bioinform., 2016

Cloud removal from the AVHRR/2 images with cloud and snow over Qinghai-Tibet Plateau.

[BibT_eX]

[DOI]

Ji Zhu

Shuqin Cao

Guofei Shang

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Two-Stage Regularized Linear Discriminant Analysis for 2-D Data.

[BibT_eX]

[DOI]

Jianhua Zhao

Lei Shi

Ji Zhu

IEEE Trans. Neural Networks Learn. Syst., 2015

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

[BibT_eX]

[DOI]

Na Zou

Yun Zhu

Ji Zhu

Mustafa Gökçe Baydogan

Wei Wang

Jing Li

Technometrics, 2015

Regularized Semiparametric Estimation for Ordinary Differential Equations.

[BibT_eX]

[DOI]

Yun Li

Ji Zhu

Naisyin Wang

Technometrics, 2015

2014

Comment: Model Selection With Strong and Weak Heredity Constraints.

[BibT_eX]

[DOI]

William Li

Ji Zhu

Technometrics, 2014

2013

Identifying influential nodes in complex networks with community structure.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

2012

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

[BibT_eX]

[DOI]

Mark. Sci., 2012

Predicting customer churn through interpersonal influence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

2011

Reduced rank ridge regression and its kernel extensions.

[BibT_eX]

[DOI]

Ashin Mukherjee

Ji Zhu

Stat. Anal. Data Min., 2011

Recent Advances in Cloud Security.

[BibT_eX]

[DOI]

J. Comput., 2011

Quantifying Information Leakage in Finite Order Deterministic Programs.

[BibT_eX]

[DOI]

Ji Zhu

Mudhakar Srivatsa

Proceedings of IEEE International Conference on Communications, 2011

Poster: on quantitative information flow metrics.

[BibT_eX]

[DOI]

Ji Zhu

Mudhakar Srivatsa

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.

[BibT_eX]

[DOI]

Li Wang

Ji Zhu

Ann. Oper. Res., 2010

Image denoising via solution paths.

[BibT_eX]

[DOI]

Li Wang

Ji Zhu

Ann. Oper. Res., 2010

2009

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

[BibT_eX]

[DOI]

BMC Bioinform., 2009

Pathway Detection Based on Hierarchical LASSO Regression Model.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008

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

[BibT_eX]

[DOI]

Li Wang

Ji Zhu

Hui Zou

Bioinform., 2008

2007

Variable Selection for the Linear Support Vector Machine.

[BibT_eX]

[DOI]

Ji Zhu

Hui Zou

Proceedings of the Trends in Neural Computation, 2007

Efficient Computation and Model Selection for the Support Vector Regression.

[BibT_eX]

[DOI]

Lacey Gunter

Ji Zhu

Neural Comput., 2007

Improved centroids estimation for the nearest shrunken centroid classifier.

[BibT_eX]

[DOI]

Sijian Wang

Ji Zhu

Bioinform., 2007

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

[BibT_eX]

[DOI]

Youjuan Li

Ji Zhu

Bioinform., 2007

Hybrid huberized support vector machines for microarray classification.

[BibT_eX]

[DOI]

Li Wang

Ji Zhu

Hui Zou

Proceedings of the Machine Learning, 2007

<i>l</i><sub>1</sub> Regularization in Infinite Dimensional Feature Spaces.

[BibT_eX]

[DOI]

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

Variable Selection for Optimal Decision Making.

[BibT_eX]

[DOI]

Lacey Gunter

Ji Zhu

Susan A. Murphy

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

A Semi-supervised SVM for Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning.

[BibT_eX]

[DOI]

Li Wang

Michael D. Gordon

Ji Zhu

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Analysis of the Bioinformatics Grid Technique Applications in China.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Saharon Rosset

Ji Zhu

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Computing the Solution Path for the Regularized Support Vector Regression.

[BibT_eX]

[DOI]

Lacey Gunter

Ji Zhu

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

The System Recovery Benchmark.

[BibT_eX]

[DOI]

James Mauro

Ji Zhu

Ira Pramanick

Proceedings of the 10th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2004), 2004

2003

Robustness Benchmarking for Hardware Maintenance Events.

[BibT_eX]

[DOI]

Ji Zhu

James Mauro

Ira Pramanick

Proceedings of the 2003 International Conference on Dependable Systems and Networks (DSN 2003), 2003

A System Recovery Benchmark for Clusters.

[BibT_eX]

[DOI]

Ira Pramanick

James Mauro

Ji Zhu

Proceedings of the 2003 IEEE International Conference on Cluster Computing (CLUSTER 2003), 2003

2002

Automatic Generation of Availability Models in RAScad.

[BibT_eX]

[DOI]

Dong Tang

Ji Zhu

Roy Andrada

Proceedings of the 2002 International Conference on Dependable Systems and Networks (DSN 2002), 2002

Ji Zhu

Bibliography

Loading...