Ji Zhu

According to our database1, Ji Zhu authored at least 63 papers between 2001 and 2019.

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Bibliography

2019
Covariance-insured screening.
Computational Statistics & Data Analysis, 2019

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

Receiver responses to referral reward programs in social networks.
Electronic Commerce Research, 2018

Dynamic Attribute Package: Crowd Behavior Recognition in Complex Scene.
Proceedings of the Digital TV and Multimedia Communication - 15th International Forum, 2018

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

Online Multi-Object Tracking with Dual Matching Attention Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

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

Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Resolution adaptive feature extracting and fusing framework for person re-identification.
Neurocomputing, 2016

Exploring the sequential usage patterns of mobile Internet services based on Markov models.
Electronic Commerce Research and Applications, 2016

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

An Effective Crowd Property Analysis System for Video Surveillance Application.
Proceedings of the Digital TV and Wireless Multimedia Communication, 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 Netw. Learning Syst., 2015

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

Regularized Semiparametric Estimation for Ordinary Differential Equations.
Technometrics, 2015

Hierarchical video summarization with loitering indication.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Multiple Scaled Person Re-Identification Framework for HD Video Surveillance Application.
Proceedings of the Computer Vision - CCF Chinese Conference, 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

Stable and scalable universal swarms.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

Stable and scalable universal swarms.
Proceedings of the ACM Symposium on Principles of Distributed Computing, 2013

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

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

Subpixel snow mapping of the Qinghai-Tibet Plateau using MODIS data.
Int. J. Applied Earth Observation and Geoinformation, 2012

2011
Reduced rank ridge regression and its kernel extensions.
Statistical Analysis and Data Mining, 2011

Recent Advances in Cloud Security.
JCP, 2011

Stability of a peer-to-peer communication system.
Proceedings of the 30th Annual ACM Symposium on Principles of Distributed Computing, 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.
Annals OR, 2010

Image denoising via solution paths.
Annals OR, 2010

The missing piece syndrome in peer-to-peer communication.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Approaches to using end-members for sub-pixel snow mapping with MODIS data in Qinghai-Tibet Plateau.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

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

An Improvement of Method for Monitoring Drought using Remote Sensing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 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.
Bioinformatics, 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 Computation, 2007

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

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

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

l1 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

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
Boosting as a Regularized Path to a Maximum Margin Classifier.
Journal of Machine Learning Research, 2004

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

A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The Entire Regularization Path for the Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
1-norm Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Margin Maximizing Loss Functions.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

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

Boosting and support vector machines as optimal separators.
Proceedings of the Document Recognition and Retrieval X, 2003

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

2002
Support Vector Machines, Kernel Logistic Regression and Boosting.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

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

2001
Kernel Logistic Regression and the Import Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001


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