Tong Zhang

Fusheng Yang, Tong Zhang, Qingyu Tang, 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

Graph-Based Semi-Supervised Learning and Spectral Kernel Design

Tong Zhang, Rie Johnson, Rie Johnson, 2008, IEEE Transactions on Information Theory.

Graphical Nonconvex Optimization via an Adaptive Convex Relaxation

Qiang Sun, Tong Zhang, Han Liu, 2018, ICML.

Agnostic Active Learning Without Constraints

John Langford, Tong Zhang, Alina Beygelzimer, 2010, NIPS.

Message from workshop chairs

Tong Zhang, Robert Mertens, Balakrishnan Prabhakaran, 2015 .

Classifying search queries using the Web as a source of knowledge

Andrei Z. Broder, Marcus Fontoura, Evgeniy Gabrilovich, 2009, TWEB.

Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data

Yu Zhang, Tong Zhang, Lei Han, 2016, KDD.

Compression by model combination

Tong Zhang, 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

Improved Local Coordinate Coding using Local Tangents

Tong Zhang, Kai Yu, Tong Zhang, 2010, ICML.

Large Margin Winnow Methods for Text Categorization

Tong Zhang, Tong Zhang, 2004 .

Sequential greedy approximation for certain convex optimization problems

Tong Zhang, Tong Zhang, 2003, IEEE Trans. Inf. Theory.

Partial Gaussian Graphical Model Estimation

Xiao-Tong Yuan, Tong Zhang, Tong Zhang, 2012, IEEE Transactions on Information Theory.

Learning Bounds for Kernel Regression Using Effective Data Dimensionality

Tong Zhang, Tong Zhang, 2005, Neural Computation.

Deviation Optimal Learning using Greedy Q-aggregation pdf

Tong Zhang, Dong Dai, Philippe Rigollet, 2012, ArXiv.

On the Consistency of Instantaneous Rigid Motion Estimation

Carlo Tomasi, Tong Zhang, Carlo Tomasi, 2004, International Journal of Computer Vision.

Sparse Recovery with Very Sparse Compressed Counting pdf

Ping Li, Tong Zhang, Cun-Hui Zhang, 2014, ArXiv.

Near-optimal stochastic approximation for online principal component estimation

Tong Zhang, Han Liu, Mengdi Wang, 2016, Math. Program..

Text Categorization Based on Regularized Linear Classification Methods

Tong Zhang, Frank J. Oles, Tong Zhang, 2001, Information Retrieval.

Learning sparse low-threshold linear classifiers pdf

Tong Zhang, Nathan Srebro, Shai Shalev-Shwartz, 2015, J. Mach. Learn. Res..

21st Annual Conference on Learning Theory - COLT 2008, Helsinki, Finland, July 9-12, 2008

Rocco A. Servedio, Tong Zhang, Tong Zhang, 2008, COLT.

Learning on Graph with Laplacian Regularization

Tong Zhang, Rie Kubota Ando, Tong Zhang, 2006, NIPS.

Focused named entity recognition using machine learning

Li Zhang, Tong Zhang, Yue Pan, 2004, SIGIR '04.

An Analysis of Random Design Linear Regression pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, ArXiv.

Information-theoretic upper and lower bounds for statistical estimation

Tong Zhang, Tong Zhang, 2006, IEEE Transactions on Information Theory.

Adaptive Sampling Towards Fast Graph Representation Learning

Junzhou Huang, Tong Zhang, Yu Rong, 2018, NeurIPS.

Greedy Model Averaging

Tong Zhang, Dong Dai, Tong Zhang, 2011, NIPS.

High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning pdf

Krishnakumar Balasubramanian, Tong Zhang, Kai Yu, 2013, UAI.

Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation

Haifeng Li, Tong Zhang, Chun-Chi Liu, 2011, PLoS Comput. Biol..

Linear prediction models with graph regularization for web-page categorization

Tong Zhang, Byron Dom, Alexandrin Popescul, 2006, KDD '06.

Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression pdf

Tong Zhang, Lei Han, Ting Yang, 2016, The Annals of Statistics.

Power Allocation and Scheduling for Two-Cell Distributed Interference Subtraction System pdf

Xiaofeng Tao, Tong Zhang, Xiaodong Xu, 2014, ArXiv.

Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints

Tong Zhang, Nathan Srebro, Shai Shalev-Shwartz, 2010, SIAM J. Optim..

Robust Matrix Decomposition with Outliers pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2010, ArXiv.

Robust Matrix Decomposition With Sparse Corruptions

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, IEEE Transactions on Information Theory.

GeoComputation for Geospatial Big Data

Jianya Gong, Tong Zhang, Huayi Wu, 2014 .

Spectral Methods for Learning Multivariate Latent Tree Structure

Le Song, Anima Anandkumar, Sham M. Kakade, 2011, NIPS.

Composite Functional Gradient Learning of Generative Adversarial Models pdf

Tong Zhang, Rie Johnson, 2018, ICML.

Solving large scale linear prediction problems using stochastic gradient descent algorithms

Tong Zhang, Tong Zhang, 2004, ICML.

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity

Yonina C. Eldar, Zhuoran Yang, Zhaoran Wang, 2016, ICML.

TREC 2005 Genomics Track Experiments at IBM Watson

Mark Dredze, Tong Zhang, Rie Kubota Ando, 2005, TREC.

On the Consistency of Feature Selection using Greedy Least Squares Regression

Tong Zhang, Tong Zhang, 2009, J. Mach. Learn. Res..

Column-generation boosting methods for mixture of kernels

Jinbo Bi, Tong Zhang, Kristin P. Bennett, 2004, KDD.

Leave-One-Out Bounds for Kernel Methods

Tong Zhang, Tong Zhang, 2003, Neural Computation.

Analysis of a randomized approximation scheme for matrix multiplication pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2012, ArXiv.

Sparse Recovery With Orthogonal Matching Pursuit Under RIP

Tong Zhang, Tong Zhang, 2010, IEEE Transactions on Information Theory.

On the Dual Formulation of Regularized Linear Systems with Convex Risks

Tong Zhang, Tong Zhang, 2002, Machine Learning.

A Proximal Stochastic Gradient Method with Progressive Variance Reduction

Lin Xiao, Tong Zhang, Tong Zhang, 2014, SIAM J. Optim..

Some Sparse Approximation Bounds for Regression Problems

Tong Zhang, Tong Zhang, 2001, International Conference on Machine Learning.

A convex formulation for high‐dimensional sparse sliced inverse regression

Zhaoran Wang, Tong Zhang, Han Liu, 2018, ArXiv.

Optimal Surface Smoothing as Filter Design

Gene H. Golub, Gabriel Taubin, Tong Zhang, 1996, ECCV.

A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning

Tong Zhang, Tong Zhang, 2001, COLT/EuroCOLT.

A Discriminative Global Training Algorithm for Statistical MT

Tong Zhang, Christoph Tillmann, C. Tillmann, 2006, ACL.

A decision-tree-based symbolic rule induction system for text categorization

Tong Zhang, Frank J. Oles, David E. Johnson, 2002, IBM Syst. J..

Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models

Tong Zhang, Tong Zhang, 2008, NIPS.

Chinese Named Entity Recognition Based on Multilevel Linguistic Features

Gang Hu, Jianmin Jiang, Tong Zhang, 2004, IJCNLP.

Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling

Peter Richtárik, Tong Zhang, Zheng Qu, 2015, NIPS.

A High-Performance Semi-Supervised Learning Method for Text Chunking

Tong Zhang, Rie Kubota Ando, Tong Zhang, 2005, ACL.

Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations

Tong Zhang, Tong Zhang, 2011, IEEE Transactions on Information Theory.

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization

Xiao-Tong Yuan, Ping Li, Tong Zhang, 2013, ICML.

Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level pdf

Tong Zhang, Rie Johnson, 2016, ArXiv.

Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings

Tong Zhang, Rie Johnson, Rie Johnson, 2016, ICML.

Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding

Tong Zhang, Rie Johnson, Rie Johnson, 2015, NIPS.

Efficient Optimal Learning for Contextual Bandits pdf

John Langford, Nikos Karampatziakis, Miroslav Dudík, 2011, UAI.

Supervised and Semi-Supervised Text Categorization using One-Hot LSTM for Region Embeddings pdf

Tong Zhang, Rie Johnson, Rie Johnson, 2016, ArXiv.

Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification

Tong Zhang, Tong Zhang, 2004, NIPS.

Theoretical analysis of a class of randomized regularization methods

Tong Zhang, Tong Zhang, 1999, COLT '99.

Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization

Junzhou Huang, Tong Zhang, Jiaxiang Wu, 2018, ICML.

Fundamentals of Predictive Text Mining

Tong Zhang, Sholom M. Weiss, Nitin Indurkhya, 2010, Texts in Computer Science.

Communication-Efficient Distributed Optimization using an Approximate Newton-type Method pdf

Ohad Shamir, Tong Zhang, Nathan Srebro, 2013, ICML.

Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization

Tong Zhang, Shai Shalev-Shwartz, S. Shalev-Shwartz, 2013, Mathematical Programming.

A Computational Framework for Influenza Antigenic Cartography

Zhipeng Cai, Tong Zhang, Xiu-Feng Wan, 2010, PLoS Comput. Biol..

Adaptive Fault-Tolerant Sliding Mode Control for High-Speed Trains With Actuator Faults Under Strong Winds

Tong Zhang, Xiangyu Kong, 2020, IEEE Access.

On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning

Tong Zhang, Rie Johnson, Rie Johnson, 2007, J. Mach. Learn. Res..

Text categorization for a comprehensive time-dependent benchmark

Tong Zhang, Sholom M. Weiss, Fred J. Damerau, 2004, Inf. Process. Manag..

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding

Fuchun Sun, Junzhou Huang, Tong Zhang, 2017, NIPS.

Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem

Tong Zhang, David Johnson, Fred J. Damerau, 2003, CoNLL.

Compressed Counting Meets Compressed Sensing

Ping Li, Tong Zhang, Cun-Hui Zhang, 2013, COLT.

Rank-One Approximation to High Order Tensors

Gene H. Golub, Tong Zhang, G. Golub, 2001, SIAM J. Matrix Anal. Appl..

A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem

Lin Xiao, Tong Zhang, Tong Zhang, 2012, SIAM J. Optim..

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation

Yu Zhang, Tong Zhang, Lei Han, 2016, KDD.

Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold

Shiqian Ma, Anthony Man-Cho So, Tong Zhang, 2018, SIAM J. Optim..

Named Entity Recognition through Classifier Combination

Tong Zhang, Abraham Ittycheriah, Hongyan Jing, 2003, CoNLL.

Analysis of Spectral Kernel Design based Semi-supervised Learning

Tong Zhang, Rie Kubota Ando, Tong Zhang, 2005, NIPS.

Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory pdf

Tuo Zhao, Tong Zhang, Han Liu, 2014, ArXiv.

Localized Upper and Lower Bounds for Some Estimation Problems

Tong Zhang, 2005, COLT.

A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem

Lin Xiao, Tong Zhang, Tong Zhang, 2012, ICML.

Proximal Stochastic Dual Coordinate Ascent pdf

Tong Zhang, Shai Shalev-Shwartz, S. Shalev-Shwartz, 2012, ArXiv.

Fast, robust, and consistent camera motion estimation

Carlo Tomasi, Tong Zhang, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

Tong Zhang, Cun-Hui Zhang, Tong Zhang, 2011, 1108.4988.

Regularized Winnow Methods

Tong Zhang, Tong Zhang, 2000, NIPS.

Learning to Search Efficiently in High Dimensions

Yihong Gong, Zhen Li, Thomas S. Huang, 2011, NIPS.

Selective Labeling via Error Bound Minimization

Chris H. Q. Ding, Jiawei Han, Tong Zhang, 2012, NIPS.

Sparse Online Learning via Truncated Gradient

John Langford, Lihong Li, Tong Zhang, 2008, NIPS.

Learning Nonlinear Functions Using Regularized Greedy Forest

Tong Zhang, Rie Johnson, Rie Johnson, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Local Smoothness in Variance Reduced Optimization

Daniel Vainsencher, Tong Zhang, Han Liu, 2015, NIPS.

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

Tamer Basar, Zhuoran Yang, Tong Zhang, 2018, ICML.

Multi-stage Convex Relaxation for Learning with Sparse Regularization

Tong Zhang, Tong Zhang, 2008, NIPS.

Nonlinear Learning using Local Coordinate Coding

Yihong Gong, Tong Zhang, Kai Yu, 2009, NIPS.

Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond

Tong Zhang, 2002, ICML.

Learning nonlinear dynamic models pdf

John Langford, Ruslan Salakhutdinov, Tong Zhang, 2009, ICML '09.

Analysis of Multi-stage Convex Relaxation for Sparse Regularization

Tong Zhang, Tong Zhang, 2010, J. Mach. Learn. Res..

Data-Dependent Bounds for Bayesian Mixture Methods

Ron Meir, Tong Zhang, 2002, NIPS.

Covering Number Bounds of Certain Regularized Linear Function Classes

Tong Zhang, Tong Zhang, 2002, J. Mach. Learn. Res..

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python

Mengdi Wang, Tuo Zhao, Tong Zhang, 2019, J. Mach. Learn. Res..

A tail inequality for quadratic forms of subgaussian random vectors pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, ArXiv.

Margin Based Active Learning

Maria-Florina Balcan, Andrei Z. Broder, Tong Zhang, 2007, COLT.

Accelerating Stochastic Gradient Descent using Predictive Variance Reduction

Tong Zhang, Rie Johnson, Rie Johnson, 2013, NIPS.

Two-view feature generation model for semi-supervised learning

Tong Zhang, Rie Kubota Ando, Tong Zhang, 2007, ICML '07.

Text Chunking using Regularized Winnow

Tong Zhang, David Johnson, Fred J. Damerau, 2001, ACL.

Optimal Feature Transport for Cross-View Image Geo-Localization pdf

Hongdong Li, Liu Liu, Tong Zhang, 2019, AAAI.

Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference pdf

Yonina C. Eldar, Zhuoran Yang, Zhaoran Wang, 2015, ArXiv.

Deep Coding Network

Shenghuo Zhu, Yuanqing Lin, Tong Zhang, 2010, NIPS.

Experiments in high-dimensional text categorization

Tong Zhang, Sholom M. Weiss, Fred J. Damerau, 2002, SIGIR '02.

Randomized Dual Coordinate Ascent with Arbitrary Sampling pdf

Peter Richtárik, Tong Zhang, Zheng Qu, 2014, ArXiv.

Two-Sided Arnoldi and Nonsymmetric Lanczos Algorithms

Tong Zhang, Jane Cullum, 2002, SIAM J. Matrix Anal. Appl..

A General Boosting Method and its Application to Learning Ranking Functions for Web Search

Hongyuan Zha, Keke Chen, Zhaohui Zheng, 2007, NIPS.

Truncated power method for sparse eigenvalue problems

Xiao-Tong Yuan, Tong Zhang, Tong Zhang, 2011, J. Mach. Learn. Res..

Convergence of Large Margin Separable Linear Classification

Tong Zhang, Tong Zhang, 2000, NIPS.

Optimal Allocation of Power Pool for Two-Cell Single-User Joint Transmission pdf

Qimei Cui, Xiaofeng Tao, Tong Zhang, 2014, ArXiv.

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks pdf

Tong Zhang, Liqiang Wang, Lijun Li, 2019, ICML.

Support Vector Classification with Input Data Uncertainty

Jinbo Bi, Tong Zhang, Tong Zhang, 2004, NIPS.

Exact Recovery of Hard Thresholding Pursuit

Xiao-Tong Yuan, Ping Li, Tong Zhang, 2016, NIPS.

HowtogetaChineseName(Entity): Segmentation and Combination Issues

Xiaoqiang Luo, Tong Zhang, Abraham Ittycheriah, 2003, EMNLP.

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

Tong Zhang, Rie Johnson, Rie Johnson, 2014, NAACL.

Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions

Tong Zhang, Tong Zhang, 1999, NIPS.

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes

Ohad Shamir, Tong Zhang, Tong Zhang, 2012, ICML.

Batch-Mode Active Learning via Error Bound Minimization

Jiawei Han, Tong Zhang, Quanquan Gu, 2014, UAI.

An Online Relevant Set Algorithm for Statistical Machine Translation

Tong Zhang, Christoph Tillmann, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

A Localized Prediction Model for Statistical Machine Translation

Tong Zhang, Christoph Tillmann, 2005, ACL.

Improving the performance of a traffic data management system

Tong Zhang, Tong Zhang, 1999 .

A General Framework of Dual Certificate Analysis for Structured Sparse Recovery Problems

Tong Zhang, Cun-Hui Zhang, Tong Zhang, 2012, 1201.3302.

Efficient Distributed Learning with Sparsity

Mladen Kolar, Tong Zhang, Nathan Srebro, 2016, ICML.

Effective Dimension and Generalization of Kernel Learning

Tong Zhang, Tong Zhang, 2002, NIPS.

Generalization Error Bounds for Bayesian Mixture Algorithms

Ron Meir, Tong Zhang, Tong Zhang, 2003, J. Mach. Learn. Res..

Gradient Sparsification for Communication-Efficient Distributed Optimization

Ji Liu, Tong Zhang, Jialei Wang, 2017, NeurIPS.

Robust classification of rare queries using web knowledge

Andrei Z. Broder, Marcus Fontoura, Evgeniy Gabrilovich, 2007, SIGIR.

A Sequential Approximation Bound for Some Sample-Dependent Convex Optimization Problems with Applications in Learning

Tong Zhang, 2001, COLT/EuroCOLT.

Learning Bounds for a Generalized Family of Bayesian Posterior Distributions

Tong Zhang, Tong Zhang, 2003, NIPS.

Active learning using adaptive resampling

Tong Zhang, Chidanand Apté, Vijay S. Iyengar, 2000, KDD '00.

AntigenMap 3D: an online antigenic cartography resource

Zhipeng Cai, Tong Zhang, Jialiang Yang, 2012, Bioinform..

A linear algorithm for optimal context clustering with application to bi-level image coding

F. Frances Yao, Tong Zhang, Daniel H. Greene, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Subset Ranking Using Regression

Tong Zhang, David Cossock, Tong Zhang, 2006, COLT.

The Consistency of Greedy Algorithms for Classification

Shie Mannor, Ron Meir, Tong Zhang, 2002, COLT.

Multi-Label Prediction via Compressed Sensing

John Langford, Sham M. Kakade, Tong Zhang, 2009, NIPS.

Fundamentals of Predictive Text Mining

Tong Zhang, Sholom M. Weiss, Nitin Indurkhya, 2010, Texts in Computer Science.

Corn Seeding Monitoring System Based on Image Processing

Tong Zhang, Fang Tian, Xingxing Liu, 2018 .

An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods

Tong Zhang, Tong Zhang, 2001, AI Mag..

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

Wei Liu, Baoyuan Wu, Jun Zhu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A block bigram prediction model for statistical machine translation

Tong Zhang, Christoph Tillmann, 2007, TSLP.

An Infinity-sample Theory for Multi-category Large Margin Classification

Tong Zhang, Tong Zhang, 2003, NIPS.

Recommender Systems Using Linear Classifier

Tong Zhang, Vijay S. Iyengar, Tong Zhang, 2002, J. Mach. Learn. Res..

Dimension-free tail inequalities for sums of random matrices pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, ArXiv.

Empirical Study of Recommender Systems Using Linear Classifiers

Tong Zhang, Vijay S. Iyengar, 2001, PAKDD.

On the Convergence of Boosting Procedures

Bin Yu, Tong Zhang, Bin Yu, 2003, ICML.

A Robust Risk Minimization based Named Entity Recognition System

Tong Zhang, David Johnson, Tong Zhang, 2003, CoNLL.

NATTACK: A STRONG AND UNIVERSAL GAUSSIAN BLACK-BOX ADVERSARIAL ATTACK

Tong Zhang, Liqiang Wang, Lijun Li, 2018 .

Approximation Bounds for Some Sparse Kernel Regression Algorithms

Tong Zhang, 2002, Neural Computation.

Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning pdf

Tamer Basar, Zhuoran Yang, Tong Zhang, 2018, ArXiv.

A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data

Tong Zhang, Rie Kubota Ando, Tong Zhang, 2005, J. Mach. Learn. Res..

A Text Mining based Method for Policy Recommendation

Zhongjie Wang, Tong Zhang, Zhiying Tu, 2021, 2021 IEEE International Conference on Services Computing (SCC).

Learning Pairwise Graphical Models with Nonlinear Sufficient Statistics

Tong Zhang, Ping Li, Xiao-Tong Yuan, 2013, 1311.5479.

Sequence-Based Antigenic Change Prediction by a Sparse Learning Method Incorporating Co-Evolutionary Information

Tong Zhang, Xiu-Feng Wan, Jialiang Yang, 2014, PloS one.

Active Learning with an ERM Oracle

John Langford, Tong Zhang, Alina Beygelzimer, 2009 .

A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration

Tong Zhang, Xiu-Feng Wan, Xiao-Tong Yuan, 2013, PloS one.

Identifying antigenicity-associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning.

Tong Zhang, Zhipeng Cai, Xiu-Feng Wan, 2012, Journal of molecular biology.

High Dimensional Nonlinear Learning using Local Coordinate Coding

Tong Zhang, Kai Yu, 2009 .

Using Sequence Data To Infer the Antigenicity of Influenza Virus

Tong Zhang, Xiu-Feng Wan, Hailiang Sun, 2013, mBio.

Antigenic distance measurements for seasonal influenza vaccine selection.

Tong Zhang, Zhipeng Cai, Xiu-Feng Wan, 2012, Vaccine.

Random Design Analysis of Ridge Regression

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2012, COLT.