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Machine Learning algorithms and theory, Statistical Methods for Big Data and their applicationsSelected Publications
Article

Graphguided multitask sparse learning model: A method for identifying antigenic variants of influenza A(H3N2) virus
 Author(s): Han, Lei; Li, Lei; Wen, Feng; Zhong, Lei; Zhang, Tong; Wan, Xiu Feng
 Source: Bioinformatics, v. 35, (1), 2019, p. 7787
 Year: 2019

LayerWise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models
 Author(s): Tan, K.M.; Lu, Junwei; Zhang, Tong; Liu, Han
 Source: Journal of Machine Learning Research, v. 20, August 2019, article number 119, p. 139
 Year: 2019

A convex formulation for highdimensional sparse sliced inverse regression
 Author(s): Tan, Kean Ming; Wang, Zhaoran; Zhang, Tong; Liu, Han; Cook, R.Dennis
 Source: Biometrika, v. 105, (4), December 2018, p. 769782
 Year: 2018

Sparse generalized eigenvalue problem: optimal statistical rates via truncated Rayleigh flow
 Author(s): Tan, Kean Ming; Wang, Zhaoran; Liu, Han; Zhang, Tong
 Source: Journal of the Royal Statistical Society. Series B: Statistical Methodology, v. 80, (5), November 2018, p. 10571086
 Year: 2018

Gradient hard thresholding pursuit
 Author(s): Yuan, Xiao Tong; Li, Ping; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 18, May 2018, article number 166, p. 143
 Year: 2018

Bayesian Model Averaging with Exponentiated Least Squares Loss
 Author(s): Dai, Dong; Han, Lei; Yang, Ting; Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 64, (5), May 2018, p. 33313345
 Year: 2018

ILAMM for sparse learning: Simultaneous control of algorithmic complexity and statistical error
 Author(s): Fan, Jianqing; Liu, Han; Sun, Qiang; Zhang, Tong
 Source: Annals of Statistics, v. 46, (2), April 2018, p. 814841
 Year: 2018

Pathwise coordinate optimization for sparse learning: Algorithm and theory
 Author(s): Zhao, Tuo; Liu, Han; Zhang, Tong
 Source: Annals of Statistics, v. 46, (1), February 2018, p. 180218
 Year: 2018

Nearoptimal stochastic approximation for online principal component estimation
 Author(s): Li, C.J.; Wang, M.; Liu, H.; Zhang, T.
 Source: Mathematical Programming, v. 167, (1), January 2018, p. 7597
 Year: 2018

Learning to remember translation history with a continuous cache
 Author(s): Tu, Zhaopeng; Liu, Yang; Shi, Shuming; Zhang, Tong
 Source: Transactions of the Association for Computational Linguistics, v. 6, 2016, p. 407420
 Year: 2018

A general distributed dual coordinate optimization framework for regularized loss minimization
 Author(s): Zheng, S.; Wang, J.; Xia, F.; Xu, W.; Zhang, T.
 Source: Journal of Machine Learning Research, v. 18, October 2017, article number 1, p. 152
 Year: 2017

Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion
 Author(s): Song, Jun; Xiao, Jun; Wu, Fei; Wu, Haishan; Zhang, Tong; Zhang, Zhongfei Mark; Zhu, Wenwu
 Source: IEEE Transactions on Knowledge and Data Engineering, v. 29, (9), September 2017, article number 7917325, p. 18881901
 Year: 2017

Towards more efficient SPSD matrix approximation and CUR matrix decomposition
 Author(s): Wang, S.; Zhang, Z.; Zhang, T.
 Source: Journal of Machine Learning Research, v. 17, December 2016, article number 210, p. 149
 Year: 2016

Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
 Author(s): ShalevShwartz, Shai; Zhang, Tong
 Source: Mathematical Programming, v. 155, (12), January 2016, p. 105145
 Year: 2016

Learning sparse lowthreshold linear classifiers
 Author(s): Sabato, Sivan; ShalevShwartz, Shai; Srebro, Natwhan; Hsu, Daniel; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 16, July 2015, p. 12751304
 Year: 2015

A proximal stochastic gradient method with progressive variance reduction
 Author(s): Xiao, Lin; Zhang, Tong
 Source: SIAM Journal on Optimization, v. 24, (4), 2014, p. 20572075
 Year: 2014

Learning nonlinear functions using regularized greedy forest
 Author(s): Johnson, Rie; Zhang, Tong
 Source: IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 36, (5), 2014, p. 94254
 Year: 2014

Partial Gaussian graphical model estimation
 Author(s): Yuan, XiaoTong; Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 60, (3), March 2014, article number 6698361, p. 16731687
 Year: 2014

Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
 Author(s): Wang, Zhaoran; Liu, Han; Zhang, Tong
 Source: Annals of Statistics, v. 42, (6), December 2014, p. 21642201
 Year: 2014

Random Design Analysis of Ridge Regression
 Author(s): Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
 Source: Foundations of Computational Mathematics, v. 14, (3), June 2014, p. 569600
 Year: 2014

A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration
 Author(s): Yuan, XiaoTong; Zhang, Tong; Wan, XiuFeng
 Source: PLoS ONE, v. 8, (7), July 2013, article number e69842, p. 112
 Year: 2013

A proximalgradient homotopy method for the sparse leastsquares problem
 Author(s): Xiao, Lin; Zhang, Tong
 Source: SIAM Journal on Optimization, v. 23, (2), 2013, p. 10621091
 Year: 2013

Stochastic Dual Coordinate Ascent methods for regularized loss minimization
 Author(s): ShalevShwartz, Shai; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 14, (1), February 2013, p. 567599
 Year: 2013

Multistage convex relaxation for feature selection
 Author(s): Zhang, Tong
 Source: Bernoulli, v. 19, (5B), November 2013, p. 22772293
 Year: 2013

Truncated power method for sparse eigenvalue problems
 Author(s): Yuan, XiaoTong; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 14, (1), 2013, p. 899925
 Year: 2013

A tail inequality for quadratic forms of subgaussian random vectors
 Author(s): Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
 Source: Electronic Communications in Probability, v. 17, November 2012, article number 52, p. 16
 Year: 2012

A General theory of concave regularization for highdimensional sparse estimation problems
 Author(s): Zhang, CunHui; Zhang, T.
 Source: Statistical Science, v. 27, (4), November 2012, p. 576593
 Year: 2012

A spectral algorithm for learning Hidden Markov Models
 Author(s): Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
 Source: Journal of Computer and System Sciences, v. 78, (5), September 2012, p. 14601480
 Year: 2012

Tail inequalities for sums of random matrices that depend on the intrinsic dimension
 Author(s): Hsu, Daniel; Kakadey, Sham M.; Zhang, Tong
 Source: Electronic Communications in Probability, v. 17, March 2012, article number 14, p. 113
 Year: 2012

Deviation optimal learning using greedy qaggregation
 Author(s): Dai, Dong; Rigollet, Philippe; Zhang, Tong
 Source: Annals of Statistics, v. 40, (3), June 2012, p. 18781905
 Year: 2012

Identifying antigenicityassociated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning
 Author(s): Cai, Zhipeng; Ducatez, Mariette F.; Yang, Jialiang; Zhang, Tong; Long, LiPing; Boon, Adrianus C; Webby, Richard J.; Wan, XiuFeng
 Source: Journal of Molecular Biology, v. 422, (1), September 2012, p. 145155
 Year: 2012

Robust matrix decomposition with sparse corruptions
 Author(s): Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 57, (11), November 2011, article number 5934412, p. 72217234
 Year: 2011

Learning with structured sparsity
 Author(s): Huang, Junzhou; Zhang, Tong; Metaxas, Dimitris
 Source: Journal of Machine Learning Research, v. 12, November 2011, p. 33713412
 Year: 2011

Adaptive forwardbackward greedy algorithm for learning sparse representations
 Author(s): Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 57, (7), July 2011, article number 5895111, p. 46894708
 Year: 2011

Sparse recovery with orthogonal matching pursuit under RIP
 Author(s): Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 57, (9), 2011, article number 6006641, p. 62456221
 Year: 2011

Integrative analysis of many weighted CoExpression networks using tensor computation
 Author(s): Li, Wenyuan; Liu, ChunChi; Zhang, Tong; Li, Haifeng; Waterman, Michael S.; Zhou, Xianghong Jasmine
 Source: PLoS Computational Biology, v. 7, (6), June 2011, article number e1001106
 Year: 2011

Concepts and applications for influenza antigenic cartography
 Author(s): Cai, Zhipeng; Zhang, Tong; Wan, XiuFeng
 Source: Influenza and other respiratory viruses, v. 5 Suppl 1, May 2011, p. 204207
 Year: 2011

Trading accuracy for sparsity in optimization problems with sparsity constraints
 Author(s): ShalevShwartz, Shai; Srebro, Nathan; Zhang, Tong
 Source: SIAM Journal on Optimization, v. 20, (6), 2010, p. 28072832
 Year: 2010

The benefit of group sparsity
 Author(s): Huang, Junzhou; Zhang, T.
 Source: Annals of Statistics, v. 38, (4), August 2010, p. 19782004
 Year: 2010

A computational framework for influenza antigenic cartography
 Author(s): Cai, Zhipeng; Zhang, Tong; Wan, XiuFeng
 Source: PLoS Computational Biology, v. 6, (10), October 2010, article number 1000949
 Year: 2010

Analysis of multistage convex relaxation for sparse regularization
 Author(s): Zhang, Tong
 Source: Journal of Machine Learning Research, v. 11, March 2010, p. 10811107
 Year: 2010

Classifying search quries using the web as a source of knowledge.
 Author(s): Gabrilovich, Evgeniy; Broder, Andrei; Fontoura, Marcus; Joshi, Amruta; Josifovski, Vanja; Riedel, Lance; Zhang, Tong
 Source: ACM Transactions on the Web, v. 3, (2), April 2009, article number 5
 Year: 2009

Some sharp performance bounds for least squares regression with L_{1} regularization
 Author(s): Zhang, T.
 Source: Annals of Statistics, v. 37, (5A), 2009, p. 21092144
 Year: 2009

Sparse Online Learning via Truncated Gradient
 Author(s): Langford, J.; Li, L.; Zhang, T.
 Source: Journal of Machine Learning Research, v. 10, January 2009, p. 777801
 Year: 2009

On the consistency of feature selection using greedy least squares regression
 Author(s): Zhang, T.
 Source: Journal of Machine Learning Research, v. 10, January 2009, p. 555568
 Year: 2009

Statistical analysis of Bayes optimal subset ranking
 Author(s): Cossock, David; Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 54, (11), 2008, p. 51405154
 Year: 2008

An online relevant set algorithm for statistical machine translation
 Author(s): Tillmann, Christoph; Zhang, Tong
 Source: IEEE Transactions on Audio, Speech and Language Processing, v. 16, (7), September 2008, p. 12741286
 Year: 2008

Graphbased semisupervised learning and spectral kernel design
 Author(s): Johnson, Ric; Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 54, (1), January 2008, p. 275288
 Year: 2008

A block bigram prediction model for statistical machine translation
 Author(s): Tillmann, Christoph; Zhang, Tong
 Source: ACM Transactions on Speech and Language Processing, v. 4, (3), July 2007, article number 1255172
 Year: 2007

On the effectiveness of Laplacian normalization for graph semisupervised learning
 Author(s): Johnson, Rie; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 8, July 2007, p. 14891517
 Year: 2007

Information theoretical upper and lower bounds for statistical estimation
 Author(s): Zhang, T.
 Source: IEEE Transactions on Information Theory, v. 52, (4), April 2006, p. 13071321
 Year: 2006

From εentropy to KLentropy: Analysis of minimum information complexity density estimation
 Author(s): Zhang, Tong
 Source: Annals of Statistics, v. 34, (5), October 2006, p. 21802210
 Year: 2006

Learning bounds for kernel regression using effective data dimensionality
 Author(s): Zhang, Tong
 Source: Neural Computation, v. 17, (9), September 2005, p. 20772098
 Year: 2005

A framework for learning predictive structures from multiple tasks and unlabeled data.
 Author(s): Ando, Rie Kubota; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 6, November 2005, p. 18171853
 Year: 2005

Boosting with early stopping: Convergence and consistency
 Author(s): Zhang, Tong; Yu, Bin
 Source: Annals of Statistics, v. 33, (4), August 2005, p. 15381579
 Year: 2005

Generalization error bounds for Bayesian mixture algorithms
 Author(s): Meir, R.; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 4, (5), July 2004, p. 839860
 Year: 2004

Text categorization for a comprehensive timedependent benchmark
 Author(s): Damerau, Fred J.; Zhang, Tong; Weiss, Sholom M.; Indurkhya, Nitin
 Source: Information Processing and Management, v. 40, (2), March 2004, p. 209221
 Year: 2004

Greedy algorithms for classification  Consistency, convergence rates, and adaptivity
 Author(s): Mannor, Shie; Meir, Ron; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 4, (4), May 2004, p. 713742
 Year: 2004

Statistical behavior and consistency of classification methods based on convex risk minimization
 Author(s): Zhang, Tong
 Source: Annals of Statistics, v. 32, (1), February 2004, p. 5685
 Year: 2004

Statistical analysis of some multicategory large margin classification methods
 Author(s): Zhang, Tong
 Source: Journal of Machine Learning Research, v. 9, 2004, p. 122512505
 Year: 2004

Leaveoneout bounds for kernel methods
 Author(s): Zhang, Tong
 Source: Neural Computation, v. 15, (6), 2003, p. 13971437
 Year: 2003

Sequential greedy approximation for certain convex optimization problems
 Author(s): Zhang, Tong
 Source: IEEE Transactions on Information Theory, v. 49, (3), March 2003, p. 682691
 Year: 2003

TwoSided Arnoldi and Nonsymmetric Lanczos Algorithms
 Author(s): Cullum, Jane; Zhang, Tong
 Source: SIAM Journal on Matrix Analysis and Applications, v. 24, (2), December 2002, p. 303319
 Year: 2002

On the dual formulation of regularized linear systems
 Author(s): Zhang, Tong
 Source: Machine Learning, v. 46, (13), January 2002, p. 91129
 Year: 2002

Recommender Systems Using Linear Classifiers
 Author(s): Zhang, Tong; Iyengar, Vijay S.
 Source: Journal of Machine Learning Research, v. 2, (3), 2002, p. 313334
 Year: 2002

Text Chunking based on a Generalization of Winnow
 Author(s): Zhang, Tong; Damerau, Fred; Johnson, David
 Source: Journal of Machine Learning Research, v. 2, (4), 2002, p. 615638
 Year: 2002

Covering Number Bounds of Certain Regularized Linear Function Classes
 Author(s): Zhang, Tong
 Source: Journal of Machine Learning Research, v. 2, (3), 2002, p. 527550
 Year: 2002

Approximation bounds for some sparse kernel regression algorithms
 Author(s): Zhang, Tong
 Source: Neural Computation, v. 14, (12), December 2002, p. 30133042
 Year: 2002

On the consistency of instantaneous rigid motion estimation
 Author(s): Zhang, Tong; Tomasi, Carlo
 Source: International Journal of Computer Vision, v. 46, (1), 2002, article number 390064, p. 5179
 Year: 2002

A decisiontreebased symbolic rule induction system for text categorization
 Author(s): Johnson, D.E.; Oles, F.J.; Zhang, Tong; Goetz, T.
 Source: IBM Systems Journal, v. 41, (3), 2002, p. 428437
 Year: 2002

Rankone approximation to high order tensors
 Author(s): Zhang, Tong; Golub, Gene H.
 Source: SIAM Journal on Matrix Analysis and Applications, v. 23, (2), November 2001, p. 534550
 Year: 2001

Text Categorization Based on Regularized Linear Classification Methods
 Author(s): Zhang, Tong; Oles, Frank J.
 Source: Information Retrieval, v. 4, (1), April 2001, p. 531
 Year: 2001

A Method for ReducedOrder Modeling and Simulation of Large Interconnect Circuits and its Application to PEEC Models with Retardation
 Author(s): Cullum, J; Ruehli, A; Zhang, T.
 Source: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, v. 47, (4), April 2000, p. 261273
 Year: 2000

Subspace iterative methods for eigenvalue problems
 Author(s): Zhang, T.; Golub, G.H.; Law, K.H.
 Source: Linear Algebra and Its Applications, v. 294, (13), June 1999, p. 239258
 Year: 1999

On the Homotopy Method for Perturbed Symmetric Generalized Eigenvalue Problems
 Author(s): Zhang, T.; Law, K.H.; Golub, G.H.
 Source: SIAM Journal of Scientific Computing, v. 19, (5), September 1998, p. 16251645
 Year: 1998

Eigenvalue perturbation and the generalized Krylov subspace method
 Author(s): Zhang, T.; Golub, G.H.; Law, K.H.
 Source: Applied Numerical Mathematics, v. 27, (2), June 1998, p. 185202
 Year: 1998

Densities of selfsimilar measures on the line
 Author(s): Strichartz, Robert S.; Taylor, Arthur; Zhang, Tong
 Source: Experimental Mathematics, v. 4, (2), 1995, p. 101128
 Year: 1995
Book

Text mining: Predictive methods for analyzing unstructured information
 Author(s): Weiss, S.M.; Indurkhya, N.; Zhang, Tong; Damerau, F.J.
 Source: Text Mining: Predictive Methods for Analyzing Unstructured Information / 2005, p. 1237
 Year: 2005
Book chapter

Fundamental statistical techniques
 Author(s): Zhang, Tong
 Source: Handbook of Natural Language Processing / Nitin Indurkhya, Fred J. Damerau. Boca Raton, London, Now York : CRC Press, 2010, p. 189204, Ch. 9. Second Edition. Book Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition Series.
 Year: 2010

Performance analysis and evaluation
 Author(s): Weiss, Sholom M.; Zhang, Tong
 Source: The Handbook of Data Mining /Edited by Nong Ye. Mahwah, New Jersey; London : LAWRENCE ERLBAUM ASSOCIATES, 2003, p. 425440, Ch. 17. Series: Human Factors and Ergonomics.
 Year: 2003
Conference paper

DHER: Hindsight experience replay for dynamic goals
 Author(s): Fang, Meng; Zhou, Cheng; Shi, Bei; Gong, Boqing; Xu, Jia; Zhang, Tong
 Source: , 8th International Conference on Learning Representations, New Orleans, Louisiana, United States, 69 May 2019
 Year: 2019

Reinforced Training Data Selection for Domain Adaptation
 Author(s): Liu, Miaofeng; Song, Yan; Zou, Hongbin; Zhang, Tong
 Source: 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), 2019, p. 19571968
 Year: 2019

Stochastic expectation maximization with variance reduction
 Author(s): Chen, J.; Zhu, J.; Teh, Y.W.; Zhang, T.
 Source: Advances in Neural Information Processing Systems, v. 31, 2018, p. 79677977
 Year: 2018

Stochastic primaldual method for empirical risk minimization with O(1) periteration complexity
 Author(s): Tan, C.; Ma, S.; Zhang, T.; Liu, J.
 Source: Advances in Neural Information Processing Systems, v. 31, 2018, p. 83668375
 Year: 2018

Nearoptimal nonconvex optimization via stochastic path integrated differential estimator
 Author(s): Fang, C.; Li, C.J.; Lin, Z.; Zhang, T.
 Source: Advances in Neural Information Processing Systems, v. 31, 2018, p. 689699
 Year: 2018

Gradient sparsification for communicationefficient distributed optimization
 Author(s): Wangni, J.; Liu, J.; Wang, J.; Zhang, T.
 Source: Advances in Neural Information Processing Systems, v. 31, 2018, p. 12991309
 Year: 2018

Graphical nonconvex optimization via an adaptive convex relaxation
 Author(s): Sun, Q.; Tan, K.M.; Liu, H.; Zhang, T.
 Source: Proceedings of International Conference on Machine Learning, ICML 2018, v. 11, 2018, p. 76387645, Series: Proceedings of Machine Learning Research, v. 80
 Year: 2018

Communication compression for decentralized training
 Author(s): Tang, Hanlin; Gan, Shaoduo; Zhang, Ce; Zhang, Tong; Liu, Ji
 Source: Advances in Neural Information Processing Systems, v. 31, 2018, p. 76527662
 Year: 2018

An algorithmic framework of Variable Metric OverRelaxed Hybrid Proximal Extragradient method
 Author(s): Shen, Li; Sun, Peng; Wang, Yitong; Liu, Wei; Zhang, Tong
 Source: Proceedings of the 35th International Conference on Machine Learning, ICML 2018, v. 10, 2018, p. 73767385, Series: Proceedings of Machine Learning Research, v. 80
 Year: 2018

Safe element screening for submodular function minimization
 Author(s): Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong
 Source: Proceedings of International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 92119220, Series: Proceedings of Machine Learning Research, v. 80
 Year: 2018

Exponentially weighted imitation learning for batched historical data
 Author(s): Wang, Qing; Xiong, Jiechao; Han, Lei; Sun, Peng; Liu, Han; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 31, 2018, p. 62886297
 Year: 2018

Endtoend active object tracking via reinforcement learning
 Author(s): Luo, Wenhan; Sun, Peng; Zhong, Fangwei; Liu, Wei; Zhang, Tong; Wang, Yizhou
 Source: Proceedings of International Conference on Machine Learning, ICML 2018, v. 7, 2018, p. 51915200, Series: Proceedings of Machine Learning Research. v. 80
 Year: 2018

Fully decentralized multiagent reinforcement learning with networked agents
 Author(s): Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Bas¸ar, Tamer
 Source: Proceedings of Machine Learning Research, v. 80, 2018, p. 58725881
 Year: 2018

Candidates vs. noises estimation for large multiclass classification problem
 Author(s): Han, Lei; Huang, Yiheng; Zhang, Tong
 Source: Proceedings of Machine Learning Research, v. 80, 2018, p. 18901899
 Year: 2018

Error compensated quantized sgd and its applications to largescale distributed optimization
 Author(s): Wu, Jiaxiang; Huang, Weidong; Huang, Junzhou; Zhang, Tong
 Source: Proceedings of Machine Learning Research, v. 80, 2018, p. 53255333
 Year: 2018

Composite functional gradient learning of generative adversarial models
 Author(s): Johnson, Rie; Zhang, Tong
 Source: 35th International Conference on Machine Learning, ICML 2018, v. 80, 2018, p. 23712379
 Year: 2018

Deep pyramid convolutional neural networks for text categorization
 Author(s): Johnson, Rie; Zhang, Tong
 Source: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, v. 1, 2017, p. 562570
 Year: 2017

Efficient distributed learning with sparsity
 Author(s): Wang, Jialei; KoIar, Mladen; Srebro, Nathan; Zhang, Tong
 Source: Proceedings of International Conference on Machine Learning, ICML 2017, v. 7, 2017, p. 55445563, Series: Proceedings of Machine Learning Research, v. 70
 Year: 2017

Diffusion approximations for online principal component estimation and global convergence
 Author(s): Li, Chris Junchi; Wang, Mendgi; Liu, Han; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 30, 2017, p. 646656
 Year: 2017

Projectionfree distributed online learning in networks
 Author(s): Zhang, Wenpeng; Zhao, Peilin; Zhu, Wenwu; Hoi, Steven C. H.; Zhang, Tong
 Source: Proceedings of International Conference on Machine Learning, ICML 2017, v. 8, 2017, p. 61556166, Series: Proceedings of Machine Learning Research, v. 70
 Year: 2017

On quadratic convergence of DC proximal Newton algorithm in nonconvex sparse learning
 Author(s): Li, Xingguo; Yang, Lin F.; Ge, Jason; Haupt, J.; Zhang, Tong; Zhao, Tuo
 Source: Advances in Neural Information Processing Systems, 2017, p. 27432753
 Year: 2017

Supervised and semisupervised text categorization using LSTM for region embeddings
 Author(s): Johnson, Rie; Zhang, Tong
 Source: Proceedings of International Conference on Machine Learning, ICML 2016, v. 2, 2016, p. 794802, Series: Proceedings of Machine Learning Research, v. 48
 Year: 2016

Exact recovery of hard thresholding pursuit
 Author(s): Yuan, Xiaotong; Li, Ping; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 29, 2016, p. 35653573
 Year: 2016

Learning additive exponential family graphical models via l_{2,1}norm regularized Mestimation
 Author(s): Yuan, XiaoTong; Li, Ping; Zhang, Tong; Liu, Qingshan; Liu, Guangcan
 Source: Advances in Neural Information Processing Systems, v. 29, 2016, p. 43744382
 Year: 2016

Sparse nonlinear regression: Parameter estimation under nonconvexity
 Author(s): Yang, Zhuoran; Wang, Zhaoran; Liu, Han; Eldar, Yonina C.; Zhang, Tong
 Source: Proceedings of International Conference on Machine Learning, ICML 2016, v. 5, 2016, p. 36683677, Series: Proceedings of Machine Learning Research, v. 48
 Year: 2016

Stochastic optimization with importance sampling for regularized loss minimization
 Author(s): Zhao, Peillin; Zhang, Tong
 Source: Proceedings of International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 19, Series: Proceedings of Machine Learning Research, v. 37
 Year: 2015

Semisupervised convolutional neural networks for text categorization via region embedding
 Author(s): Johnson, Rie; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 28, 2015, p. 919927
 Year: 2015

Effective use of word order for text categorization with convolutional neural networks
 Author(s): Johnson, Rie; Zhang, Tong
 Source: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015, 2015, p. 103112
 Year: 2015

Quartz: Randomized dual coordinate ascent with arbitrary sampling
 Author(s): Qu, Zheng; Richtárik, Peter; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, 2015, p. 865873
 Year: 2015

Local smoothness in variance reduced optimization
 Author(s): Vainsencher, Daniel; Liu, Han; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 28, 2015, p. 21792187
 Year: 2015

Adaptive stochastic alternating direction method of multipliers
 Author(s): Zhao, Peilin; Yang, Jinwei; Zhang, Tong; Li, Ping
 Source: Proceedings of International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 6977, Series: Proceedings of Machine Learning Research, v.37
 Year: 2015

Crowd fraud detection in internet advertising
 Author(s): Tian, Tian; Zhu, Jun; Xia, Fen; Zhuang, Xin; Zhang, Tong
 Source: Proceedings of the 24th International Conference on World Wide Web, 2015, p. 11001110
 Year: 2015

Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
 Author(s): ShnlevShwartz, Shai; Zhang, Tong
 Source: 31st International Conference on Machine Learning, ICML 2014, v. 1, 2014, p. 111119, Series: Proceedings of Machine Learning Research, v. 32
 Year: 2014

Compressed counting meets compressed sensing
 Author(s): Li, Ping; Zhang, CunHui; Zhang, Tong
 Source: Journal of Machine Learning Research, v. 35, 2014, p. 10581077
 Year: 2014

Communicationefficient distributed optimization using an approximate Newtontype method
 Author(s): Shamir, Ohad; Srebro, Nathan; Zhang, Tong
 Source: Proceedings of Machine Learning Research, v. 32, (2), 2014, p. 10001008
 Year: 2014

Gradient hard thresholding pursuit for sparsityconstrained optimization
 Author(s): Yuan, Xiaotong; Li, Ping; Zhang, Tong
 Source: Proceedings of Machine Learning Research, v. 32, (2), 2014, p. 127135
 Year: 2014

Efficient minibatch training for stochastic optimization
 Author(s): Li, Mu; Zhang, Tong; Chen, Yuqiang; Smola, A.J.
 Source: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014, p. 661670
 Year: 2014

A convergence rate analysis for LogitBoost, MART and their variant
 Author(s): Sun, Peng; Zhang, Tong; Zhou, Jie
 Source: Proceedings of Machine Learning Research, v. 32, (2), 2014, p. 30013009
 Year: 2014

Highdimensional joint sparsity random effects model for multitask learning
 Author(s): Balasubramanian, K.; Yu, K.; Zhang, T.
 Source: Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, UAI 2013, 5013, p. 4251
 Year: 2013

Accelerated minibatch stochastic dual coordinate ascent
 Author(s): ShalevShwartz, Shai; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 26, 2013, p. 18
 Year: 2013

Stochastic gradient descent for nonsmooth optimization: Convergence results and optimal averaging schemes
 Author(s): Shamir, Ohad; Zhang, Tong
 Source: Proceedings of Machine Learning Research, v. 28, (1), 2013, p. 7179
 Year: 2013

Accelerating stochastic gradient descent using predictive variance reduction
 Author(s): Johnson, Rie; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 26, 2013, p. 19
 Year: 2013

Selective labeling via error bound minimization
 Author(s): Gu, Quanquan; Zhang, Tong; Ding, Chris; Han, Jiawei
 Source: Advances in Neural Information Processing Systems, v. 25, (1), 2012, p. 323331
 Year: 2012

A proximalgradient homotopy method for the ℓ 1regularized leastsquares problem
 Author(s): Xiao, Lin; Zhang, Tong
 Source: Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2012
 Year: 2012

Random design analysis of ridge regression
 Author(s): Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
 Source: Proceedings of Machine Learning Research, v. 23, 2012, p. 9.19.24
 Year: 2012

Learning to search efficiently in high dimensions
 Author(s): Li, Zhen; Ning, Huazhong; Cao, Liangliang; Zhang, Tong; Gong, Yihong; Huang, Thomas S.
 Source: Advances in Neural Information Processing Systems, v. 24, 2011, p. 19
 Year: 2011

Greedy model averaging
 Author(s): Dai, Dong; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 24, 2011, p. 19
 Year: 2011

Spectral methods for learning multivariate latent tree structure
 Author(s): Anandkumar, Animashree; Chaudhuri, Kamalika; Hsu, Daniel; Kakade, Sham M.; Song, Le; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 24, 2011, p. 19
 Year: 2011

Efficient optimal learning for contextual bandits
 Author(s): Dudik, M.; Hsu, D.; Kale, S.; Karampatziakis, N.; Langford, J.; Reyzin, L.; Zhang, T.
 Source: Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, 2011, p. 169178
 Year: 2011

Image classification using supervector coding of local image descriptors
 Author(s): Zhou, Xi; Yu, Kai; Zhang, Tong; Huang, Thomas S.
 Source: Lecture Notes in Computer Science, v. 6315 LNCS, (5), 2010, p. 141154, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 Year: 2010

Agnostic active learning without constraints
 Author(s): Beygelzimer, Alina; Hsu, Daniel; Langford, John; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 23, 2010, p. 19
 Year: 2010

Deep coding network
 Author(s): Lin, Yuanqing; Zhang, Tong; Zhu, Shenghuo; Yu, Kai
 Source: Advances in Neural Information Processing Systems, v. 23, 2010, p. 19
 Year: 2010

Improved local coordinate coding using local tangents
 Author(s): Yu, K.; Zhang, Tong
 Source: Proceedings, 27th International Conference on Machine Learning, ICML 2010, 2010, p. 12151222
 Year: 2010

Nonlinear learning using local coordinate coding
 Author(s): Yu, K.; Zhang, T.; Gong, Y.
 Source: Advances in Neural Information Processing Systems, v. 22, 2009, p. 22232231
 Year: 2009

Multilabel prediction via compressed sensing
 Author(s): Hsu, D.; Kakade, S.M.; Langford, J.; Zhang, T.
 Source: Advances in Neural Information Processing Systems, v. 22, 2009, p. 772780
 Year: 2009

Learning with structured sparsity
 Author(s): Huang, Junzhou; Zhang, Tong; Metaxas, D.
 Source: ACM International Conference Proceeding Series, v. 382, 2009, article number 52
 Year: 2009

Learning nonlinear dynamic models
 Author(s): Langford, J.; Salakhutdinov, R.; Zhang, T.
 Source: Proceedings of the 26th International Conference On Machine Learning, ICML 2009, 2009, p. 593600
 Year: 2009

A spectral algorithm for learning hidden Markov models
 Author(s): Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
 Source: Conference on Learning Theory (COLT) Proceedings, 2009
 Year: 2009

Multistage convex relaxation for learning with sparse regularization
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 21, 2009, p. 19291936
 Year: 2008

Adaptive forwardbackward greedy algorithm for sparse learning with linear models
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 21, 2009, p. 19211928
 Year: 2008

Sparse online learning via truncated gradient
 Author(s): Langford, J.; Li, L.; Zhang, T.
 Source: Advances in Neural Information Processing Systems, v. 21, 2008, p. 905912
 Year: 2008

EpochGreedy algorithm for multiarmed bandits with side information
 Author(s): Langford, John; Zhang, Tong
 Source: Advances in Neural Information Processing Systems (NIPS 2007), v. 20, 2007, p. 18
 Year: 2007

A general boosting method and its application to learning ranking functions for Web search
 Author(s): Zheng, Z.; Zha, H.; Zhang, T.; Chapelle, O.; Chen, K.; Sun, G.
 Source: Advances in Neural Information Processing Systems, v. 20, 2009, p. 18
 Year: 2007

Twoview feature generation model for semisupervised learning
 Author(s): Ando, Rie Kubota; Zhang, Tong
 Source: ACM International Conference Proceeding Series, v. 227, 2007, p. 2532
 Year: 2007

Robust classification of rare queries using web knowledge
 Author(s): Broder, Andrei Z.; Fontoura, Marcus; Gabrilovich, Evgeniy; Joshi, Amruta; Josifovski, Vanja; Zhang, Tong
 Source: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, 2007, p. 231238
 Year: 2007

Margin based active learning
 Author(s): Balcan, MariaFlorina; Broder, Andrei; Zhang, Tong
 Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 4539 LNAI, 2007, p. 3550
 Year: 2007

Learning on graph with Laplacian regularization
 Author(s): Ando, Rie K.; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 19, 2007, p. 2532
 Year: 2006

A discriminative global training algorithm for statistical MT
 Author(s): Tillmann, Christoph; Zhang, Tong
 Source: Proceedings of 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING/ACL 2006), v. 1, 2006, p. 721728
 Year: 2006

Linear prediction models with graph regularization for Webpage categorization
 Author(s): Zhang, Tong; Popescul, Alexandrin; Dom, Byron
 Source: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2006, 2006, p. 821826
 Year: 2006

Subset ranking using regression
 Author(s): Cossock, David; Zhang, Tong
 Source: Lecture Notes in Computer Science, v. 4005 LNAI, 2006, p. 605619, including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
 Year: 2006

A highperformance semisupervised learning method for text chunking
 Author(s): Ando, Rie Kubota; Zhang, Tong
 Source: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL05), 2005, p. 19
 Year: 2005

Analysis of spectral kernel design based semisupervised learning
 Author(s): Zhang, Tong; Ando, Rie K.
 Source: Advances in Neural Information Processing Systems, 2005, p. 16011608
 Year: 2005

A localized prediction model for statistical machine translation
 Author(s): Tillmann, C.; Zhang, Tong
 Source: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL05), 2005, p. 557564
 Year: 2005

Localized upper and lower bounds for some estimation problems
 Author(s): Zhang, Tong
 Source: Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 516530, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 Year: 2005

Data dependent concentration bounds for sequential prediction algorithms
 Author(s): Zhang, Tong
 Source: Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 173187, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 Year: 2005

TREC 2005 genomics track experiments at IBM watson
 Author(s): Ando, Rie Kubota; Dredze, Mark; Zhang, Tong
 Source: NIST Special Publication, 2005, p. 110
 Year: 2005

Solving large scale linear prediction problems using stochastic gradient descent algorithms
 Author(s): Zhang, Tong
 Source: Proceedings of International Conference on Machine Learning, ICML 2004, 2004, p. 919926
 Year: 2004

On the convergence of MDL density estimation
 Author(s): Zhang, Tong
 Source: Lecture Notes in Artificial Intelligence, v. 3120, 2004, p. 315330, (Subseries of Lecture Notes in Computer Science)
 Year: 2004

Columngeneration boosting methods for mixture of kernels
 Author(s): Bi, Jinbo; Zhang, Tong; Bennett, K.P.
 Source: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD2004, 2004, p. 521526
 Year: 2004

Focused named entity recognition using machine learning
 Author(s): Zhang, Li; Pan, Yue; Zhang, Tong
 Source: Proceedings of Sheffield SIGIR TwentySeventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004, p. 281288
 Year: 2004

Support vector classification with input data uncertainty
 Author(s): Bi, Jinbo; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 17, 2005
 Year: 2004

Classsize independent generalization analsysis of some discriminative multicategory classification methods
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 17, 2005, p. 1316
 Year: 2004

Learning bounds for a generalized family of Bayesian posterior distributions
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 16, 2004, p. 11491156
 Year: 2004

An infinitysample theory for multicategory large margin classification
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 16, 2004
 Year: 2004

An evaluation of overthecounter medication sales for syndromic surveillance
 Author(s): Campbell, Murray S.; Li, ChungSheng; Aggarwal, Charu; Naphade, Milind R.; Wu, KunLung; Zhang, Tong
 Source: , In ICDM 2004 Workshop on Life Sciences Data Mining
 Year: 2004

Howtogetachinesename (entity): Segmentation and combination issues.
 Author(s): Jing, Hongyan; Florian, Radu; Luo, Xiaoqiang; Zhang, Tong; Abraham Ittycheriah
 Source: Proceedings of the 2003 conference on Empirical methods in natural language processing, 2003, p. 200207
 Year: 2003

Named entity recogintion through classifier combination
 Author(s): Florian, Radu; Ittycheriah, Abe; Jing, Hongyan; Zhang, Tong
 Source: Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 168171
 Year: 2003

On the Convergence of Boosting Procedures
 Author(s): Zhang, Tong; Yu, Bin
 Source: Proceedings oh Twentieth International Conference on Machine Learning, v. 2, 2003, p. 904911
 Year: 2003

Datadependent bounds for Bayesian mixture methods
 Author(s): Meir, Ron; Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 15, 2003
 Year: 2003

Updating an nlp system to fit new domains: an empirical study on the sentence segmentation problem
 Author(s): Zhang, Tong; Damerau, Fred; Johnson, David
 Source: Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 5662
 Year: 2003

A robust risk minimization based named entity recognition system
 Author(s): Zhang, Tong; Johnson, David
 Source: Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 204207
 Year: 2003

Effective dimension and generalization of kernel learning
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 15, 2003
 Year: 2002

Generalization performance of some learning problems in hilbert functional spaces
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 14, 2002, p. 543550
 Year: 2002

Statistical behavior and consistency of support vector machines, boosting, and beyond
 Author(s): Zhang, Tong
 Source: Proceedings of the Nineteenth International Conference on Machine Learning, 2002, p. 690700
 Year: 2002

The consistency of greedy algorithms for classification
 Author(s): Mannor, Shie; Meir, Ron; Zhang, Tong
 Source: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2375, 2002, p. 319333
 Year: 2002

Empirical study of recommender systems using linear classifiers
 Author(s): Iyengar, V.S.; Zhang, Tong
 Source: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2035, 2001, p. 1627
 Year: 2001

A leaveoneout cross validation bound for kernel methods with applications in learning
 Author(s): Zhang, Tong
 Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 427443
 Year: 2001

A sequential approximation bound for some sampledependent convex optimization problems with applications in learning
 Author(s): Zhang, Tong
 Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 6581
 Year: 2001

Convergence of large margin separable linear classification
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 13, 2001
 Year: 2001

Regularized winnow methods
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 13, 2001
 Year: 2001

Text chunking using regularized Winnow
 Author(s): Zhang, Tong; Damera, Fred; Johnson, David
 Source: roceedings of the 39th Annual Meeting on Association for Computational Linguistics, 2001, p. 539546
 Year: 2001

A general greedy approximation algorithm with applications
 Author(s): Zhang, Tong
 Source: Advances in Neural Information Processing Systems, v. 14, 2002
 Year: 2001

Some sparse approximation bounds for regression problems
 Author(s): Zhang, Tong
 Source: Proceedings of the Eighteenth International Conference on Machine Learning, ICML 2001, 2001, p. 624631
 Year: 2001

Active learning using adaptive resampling
 Author(s): Iyengar, Vijay S.; Apte, Chidanand; Zhang, Tong
 Source: Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000, p. 9198
 Year: 2000

Large margin Winnow methods for text categorization
 Author(s): Zhang, Tong
 Source: , 6th ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, MA, USA, 2023 August 2000
 Year: 2000

A probability analysis on the value of unlabeled data for classification problems
 Author(s): Zhang, Tong; Oles, Frank J.
 Source: , 7th International Conference on Machine Learning (ICML 2000), Stanford, CA, USA, 29 June  2 July 2000
 Year: 2000

Theoretical analysis of a class of randomized regularization methods
 Author(s): Zhang, Tong
 Source: Proceedings of the Annual ACM Conference on Computational Learning Theory, 1999, p. 156163
 Year: 1999

Fast, robust, and consistent camera motion estimation
 Author(s): Zhang, Tong; Tomasi, Carlo
 Source: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 1, 1999, article number 786934, p. 164170
 Year: 1999

Some theoretical results concerning the convergence of composition of regularizated linear functions
 Author(s): Zhang, Tong
 Source: Proceedings of the 12th International Conference on Neural Information Processing Systems, 1999, p. 370376
 Year: 1999

A linear algorithm for optimal context clustering with application to bilevel image coding
 Author(s): Greene, Daniel; Yao, Frances; Zhang, Tong
 Source: Proceedings: 1998 International Conference on Image Processing, ICIP98, v. 1, 1998, article number 723301, p. 508511
 Year: 1998

Model reduction for peec models including retardation
 Author(s): Cullurn, Jane; Ruelili, Albert E.; Zhang, Tong
 Source: Proceedings of the 1998 IEEE 7th Topical Meeting on Electrical Performance of Electronic Packaging, 1998, p. 287290
 Year: 1998

Compression by model combination
 Author(s): Zhang, Tong
 Source: Data Compression Conference Proceedings, 1998, p. 319328
 Year: 1998

A progressive zivlempel algorithm for image compression
 Author(s): Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong
 Source: International Conference on Compression and Complexity of Sequences Proceedings, 1998, p. 136144
 Year: 1997

Progressive ZivLempel Encoding of Synthetic Images
 Author(s): Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong
 Source: Proceedings of Data Compression Conference (DCC '97), article number 582099, p. 441441
 Year: 1997

Optimal surface smoothing as filter design
 Author(s): Taubin, Gabriel; Zhang, Tong; Golub, Gene
 Source: European Conference on Computer Vision, v. 1, 1996, p. 283292, Part of the Lecture Notes in Computer Science book series (LNCS, volume 1064)
 Year: 1996