Ji Zhu

发表

More accurate semiparametric regression in pharmacogenomics.

Yaohua Rong, Sihai Dave Zhao, Ji Zhu, 2018, Statistics and its interface.

Variable Selection for the Linear Support Vector Machine

Ji Zhu, Hui Zou, H. Zou, 2007, Trends in Neural Computation.

Efficient Computation and Model Selection for the Support Vector Regression

Ji Zhu, Lacey Gunter, Ji Zhu, 2007, Neural Computation.

An Effective Crowd Property Analysis System for Video Surveillance Application

Hua Yang, Ji Zhu, Shuying Yang, 2016, IFTC.

Support Vector Machines, Kernel Logistic Regression and Boosting

Ji Zhu, Trevor J. Hastie, 2002, Multiple Classifier Systems.

Sparse, Flexible and Efficient Modeling using L 1 Regularization

Ji Zhu, Saharon Rosset, Ji Zhu, 2006, Feature Extraction.

Robustness benchmarking for hardware maintenance events

Ji Zhu, James Mauro, Ira Pramanick, 2003, 2003 International Conference on Dependable Systems and Networks, 2003. Proceedings..

Boosting and Support Vector Machines as Optimal Separators

Ji Zhu, Trevor J. Hastie, Saharon Rosset, 2003, IS&T/SPIE Electronic Imaging.

Fabrication, characterization and reaction studies of nanofabricated platinum model catalysts

Ji Zhu, 2003 .

A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning

Ji Zhu, Hui Zou, Trevor J. Hastie, 2004, NIPS.

Automatic generation of availability models in RAScad

Dong Tang, Ji Zhu, Roy Andrada, 2002, Proceedings International Conference on Dependable Systems and Networks.

A ug 2 01 0 Group Variable Selection via a Hierarchical Lasso and Its Oracle Property Nengfeng Zhou Consumer Credit Risk Solutions Bank of America Charlotte , NC 28255

Ji Zhu, Nengfeng Zhou, Ji Zhu, 2010 .

The missing piece syndrome in peer-to-peer communication

Bruce E. Hajek, Ji Zhu, 2010, 2010 IEEE International Symposium on Information Theory.

Link Prediction for Partially Observed Networks

Ji Zhu, Elizaveta Levina, Yunpeng Zhao, 2013, ArXiv.

Link Prediction for Egocentrically Sampled Networks pdf

Ji Zhu, Elizaveta Levina, Yun-Jhong Wu, 2018, J. Comput. Graph. Stat..

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

Ji Zhu, Jianhua Zhao, Lei Shi, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Subpixel snow mapping of the Qinghai-Tibet Plateau using MODIS data

Jiancheng Shi, Ji Zhu, Yuanhui Wang, 2012, Int. J. Appl. Earth Obs. Geoinformation.

REGULARIZED 3D FUNCTIONAL REGRESSION FOR BRAIN IMAGE DATA VIA HAAR WAVELETS.

Ji Zhu, Xuejing Wang, Bin Nan, 2014, The annals of applied statistics.

Discussion of Boosting Papers

Trevor Hastie, Robert Tibshirani, Ji Zhu, 2003 .

THE “INDEPENDENT FAILURE”STATISTIC ANALYSIS OF THE REASON OF RELIABILITY FAILURE OF ENERGY SAVING LAMP AND THE IMPROVEMENT ON ITS DESIGN

Ji Zhu, 2003 .

Properties Emulation on TD-LTE Electric Power Wireless Private

Ji Zhu, Jia Yu, Shujie Lu, 2018, ICCCS.

Stability and performance in peer to peer networks

Ji Zhu, 2013 .

On Consistency of Community Detection in Networks pdf

Ji Zhu, Elizaveta Levina, Yunpeng Zhao, 2011, ArXiv.

Measurement on soil deformation and numerical simulation during tunneling process

Wei Liu, Ji Zhu, Renpeng Chen, 2011, 2011 International Conference on Electric Technology and Civil Engineering (ICETCE).

Stability of a Peer-to-Peer Communication System

Bruce E. Hajek, Ji Zhu, 2012, IEEE Transactions on Information Theory.

Regression with network cohesion

Tianxi Li, Ji Zhu, Elizaveta Levina, 2016 .

Partial Correlation Estimation by Joint Sparse Regression Models

Pei Wang, Jie Peng, Ji Zhu, 2008, Journal of the American Statistical Association.

Quantifying Information Leakage in Finite Order Deterministic Programs

Ji Zhu, Mudhakar Srivatsa, 2011, 2011 IEEE International Conference on Communications (ICC).

Tree dynamics for peer-to-peer streaming pdf

Bruce E. Hajek, Ji Zhu, 2013, ArXiv.

Hybrid huberized support vector machines for microarray classification

Li Wang, Ji Zhu, Hui Zou, 2007, ICML '07.

An Agent-Based Dynamic Scheduling Solution for Resource-Constrained Project Scheduling

Ji Zhu, Chengwei Wang, Ying Yu, 2012, 2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation.

Reduced rank ridge regression and its kernel extensions

Ji Zhu, Ashin Mukherjee, Ji Zhu, 2011, Stat. Anal. Data Min..

Stable and scalable universal swarms

Stratis Ioannidis, Laurent Massoulié, Nidhi Hegde, 2013, SIGMETRICS.

Consistency of community detection in networks under degree-corrected stochastic block models

Ji Zhu, Elizaveta Levina, Yunpeng Zhao, 2011, 1110.3854.

Stable and scalable universal swarms

Stratis Ioannidis, Laurent Massoulié, Nidhi Hegde, 2013, PODC.

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

Minping Qian, Ji Zhu, Hao Zheng, 2009, BMC Bioinformatics.

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

Qi Wang, Ji Zhu, Yan Lindsay Sun, 2018, Internet Res..

High-dimensional Gaussian graphical model for network-linked data

Tianxi Li, Ji Zhu, Cheng Qian, 2019, J. Mach. Learn. Res..

The FBG-based monitor of liquid-solid-phase transitions and its potential sensing applications

Ji Zhu, Jianzhong Zhang, 2012, Other Conferences.

Stable and scalable universal swarms

Stratis Ioannidis, Laurent Massoulié, Nidhi Hegde, 2013, PODC '13.

Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data.

Ling Zhou, Ji Zhu, Yun Li, 2018, Statistics and its interface.

l1 Regularization in Infinite Dimensional Feature Spaces

Ji Zhu, Nathan Srebro, Saharon Rosset, 2007, COLT.

Simulation of semiconductor nanowire photodetectors with high photoconductive gain

Hanqing Cao, Ji Zhu, Jianjun Lai, 2015, Applied Optics and Photonics China.

Comment: Model Selection With Strong and Weak Heredity Constraints

Ji Zhu, William Li, 2014, Technometrics.

Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons

David Abramson, Haruki Nakamura, Susumu Date, 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).

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

Ji Zhu, Ashish Sood, Gerard J. Tellis, 2012, Mark. Sci..

Improved Classification of Mass Spectrometry Database Search Results Using Newer Machine Learning Approaches*

Ji Zhu, Zhaohui S. Qin, Zhaohui S Qin, 2006, Molecular & Cellular Proteomics.

Hybrid huberized support vector machines for microarray classification and gene selection

Li Wang, Ji Zhu, Hui Zou, 2008, Bioinform..

Predicting customer churn through interpersonal influence

Ji Zhu, Yan Wan, Xiaohang Zhang, 2012, Knowl. Based Syst..

Margin Maximizing Loss Functions

Ji Zhu, Trevor J. Hastie, Saharon Rosset, 2003, NIPS.

Pathway Detection Based on Hierarchical LASSO Regression Model

Minping Qian, Ji Zhu, Hao Zheng, 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

Analysis of the bioinformatics grid technique applications in China

Xuebin Chi, Ji Zhu, Bin Shen, 2006 .

Modeling Time-Varying Effects With Large-Scale Survival Data: An Efficient Quasi-Newton Approach

Ji Zhu, Yi Li, Yuan Yang, 2017 .

Online Multi-Object Tracking with Dual Matching Attention Networks pdf

Hua Yang, Ming-Hsuan Yang, Wenjun Zhang, 2018, ECCV.

The Entire Regularization Path for the Support Vector Machine

Robert Tibshirani, Ji Zhu, Trevor J. Hastie, 2004, J. Mach. Learn. Res..

Computing the Solution Path for the Regularized Support Vector Regression

Ji Zhu, Lacey Gunter, Ji Zhu, 2005, NIPS.

Detecting Overlapping Communities in Networks Using Spectral Methods

Yuan Zhang, Ji Zhu, Elizaveta Levina, 2014, SIAM J. Math. Data Sci..

Sub-lithographic patterning technology for nanowire model catalysts and DNA label-free hybridization detection

Ji Zhu, Jeffrey Bokor, Gabor A. Somorjai, 2003, SPIE Optics + Photonics.

Analysis of the bioinformatics grid technique applications in China

Bin Shen, Xuebin Chi, Ji Zhu, 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).

Analysis of P2P file transferring system by stochastic queue models

Ji Zhu, 2010 .

Particle Removal in Wet Wafer Cleaning Processes

Ji Zhu, David Mui, Man Xia, 2016 .

Poster: on quantitative information flow metrics

Ji Zhu, Mudhakar Srivatsa, 2011, CCS '11.

Approaches to using end-members for sub-pixel snow mapping with MODIS data in Qinghai-Tibet Plateau

Jiancheng Shi, Ji Zhu, Jinyang Du, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Improved centroids estimation for the nearest shrunken centroid classifier

Ji Zhu, Sijian Wang, Ji Zhu, 2007, Bioinform..

High-Dimensional Mixed Graphical Models

Tianxi Li, Ji Zhu, Jie Cheng, 2013, 1304.2810.

Classification with Ultrahigh-Dimensional Features pdf

Yi Li, Jian Kang, Ji Zhu, 2016, ArXiv.

Recent Advances in Cloud Security

Tong Wang, Ji Zhu, Jiyi Wu, 2011, J. Comput..

Variable Selection for Optimal Decision Making

Ji Zhu, Lacey Gunter, Susan Murphy, 2007, AIME.

Covariance-Insured Screening

Yi Li, Jian Kang, Ji Zhu, 2018, Comput. Stat. Data Anal..

Hierarchical video summarization with loitering indication

Shuang Wu, Jia Wang, Hua Yang, 2015, 2015 Visual Communications and Image Processing (VCIP).

Semi‐supervised joint learning for longitudinal clinical events classification using neural network models

Ji Zhu, Weijing Tang, Jiaqi Ma, 2020, Stat.

Image denoising via solution paths

Li Wang, Ji Zhu, Ji Zhu, 2010, Ann. Oper. Res..

Dynamic Attribute Package: Crowd Behavior Recognition in Complex Scene

Hua Yang, Ji Zhu, Lin Chen, 2018, IFTC.

Financial market forecasting using a two-step kernel learning method for the support vector regression

Li Wang, Ji Zhu, Ji Zhu, 2010, Ann. Oper. Res..

Kernel Logistic Regression and the Import Vector Machine

Ji Zhu, Trevor J. Hastie, T. Hastie, 2001, NIPS.

Resolution adaptive feature extracting and fusing framework for person re-identification

Hua Yang, Ji Zhu, Hang Su, 2016, Neurocomputing.

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

Yi Li, Ji Zhu, Jiashun Jin, 2015, Bioinform..

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

Guofei Shang, Ji Zhu, Shuqin Cao, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Application of rough set and genetic algorithm to transformer fault diagnosis

Ji Zhu, Ying Yu, 2011, The Fourth International Workshop on Advanced Computational Intelligence.

R-cubed (R 3 ): rate, robustness, and recovery - an availability benchmark framework

Ji Zhu, James Mauro, Ira Pramanick, 2002 .

Generalized linear models with low rank effects for network data

Ji Zhu, Elizaveta Levina, Yun-Jhong Wu, 2017 .

An Improvement of Method for Monitoring Drought using Remote Sensing

Qiang Feng, Jiancheng Shi, Ji Zhu, 2009, IGARSS.

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

Qi Wang, Ji Zhu, Xiaohang Zhang, 2016, Electron. Commer. Res. Appl..

Identifying influential nodes in complex networks with community structure

Han Zhao, Qi Wang, Ji Zhu, 2013, Knowl. Based Syst..

Community Detection in Networks with Node Features pdf

Yuan Zhang, Ji Zhu, Elizaveta Levina, 2015, Electronic Journal of Statistics.

Receiver responses to referral reward programs in social networks

Qi Wang, Ji Zhu, Xiaohang Zhang, 2018, Electron. Commer. Res..

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

Michael D. Gordon, Ji Zhu, Li Wang, 2006, Sixth International Conference on Data Mining (ICDM'06).

A Semi-supervised SVM for Manifold Learning

Jian Huang, Ji Zhu, Chun-hung Li, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Sparse Regulatory Networks.

Ji Zhu, Chiara Sabatti, Nengfeng Zhou, 2010, The annals of applied statistics.

Regularized Semiparametric Estimation for Ordinary Differential Equations

Yun Li, Ji Zhu, Naisyin Wang, 2015, Technometrics.

Module design with substitute parts and multiple vendors

Ji Zhu, Jeffrey B Goldberg, 1989 .

A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems

Jing Li, Ji Zhu, Yun Zhu, 2015, Technometrics.

VaR-Based Job Shop Scheduling Model and Algorithm

Ji Zhu, Ying Yu, Chen Wei Wang, 2012 .

The system recovery benchmark

Ji Zhu, James Mauro, Ira Pramanick, 2004, 10th IEEE Pacific Rim International Symposium on Dependable Computing, 2004. Proceedings..

Multi-class AdaBoost ∗

Trevor Hastie, Ji Zhu, Hui Zou, 2009 .

Multiple Scaled Person Re-Identification Framework for HD Video Surveillance Application

Hua Yang, Ji Zhu, Hang Su, 2015, CCCV.

Person Re-identification Using Cascade Filter

Lin Chen, Hua Yang, Ji Zhu, 2016, IDEAL.

Variable selection for multicategory SVM via sup-norm regularization

Ji Zhu, Yichao Wu, Hao Helen Zhang, 2006 .

A-Learning for approximate planning

Susan A. Murphy, Ji Zhu, D. Blatt, 2004 .

A system recovery benchmark for clusters

Ji Zhu, James Mauro, Ira Pramanick, 2003, 2003 Proceedings IEEE International Conference on Cluster Computing.

Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification

Shuang Wu, Zhiyong Gao, Lin Chen, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Sparse Ising Models with Covariates pdf

Ji Zhu, Pei Wang, Jie Cheng, 2012, ArXiv.

Boosting as a Regularized Path to a Maximum Margin Classifier

Ji Zhu, Trevor J. Hastie, Saharon Rosset, 2004, J. Mach. Learn. Res..

Multiple choice modular design when linear and separable constraints are present

Ji Zhu, 1988 .

Application of Fluorescent Magnetic Powder Non-destructive Crack Detection in Ship Inspection

Ji Zhu, 2003 .

A newsvendor model with fuzzy price-dependent demand

Ji Zhu, Ying Yu, Chenwei Wang, 2013 .

BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btm364 Data and text mining Analysis of array CGH data for cancer studies using

Ji Zhu, Youjuan Li, Ji Zhu, 2022 .

1-norm Support Vector Machines

Robert Tibshirani, Ji Zhu, Trevor J. Hastie, 2003, NIPS.

Predicting 30-day hospital readmissions using artificial neural networks with medical code embedding

Elham Mahmoudi, Ji Zhu, Karandeep Singh, 2019, bioRxiv.