Zhihua Zhang

Lei Sun, Zhihua Zhang, Timothy L. Bailey, Andrew C. Perkins, Michael R. Tallack, Zhao Xu, Hui Liu: Prediction of novel long non-coding RNAs based on RNA-Seq data of mouse Klf1 knockout study. BMC Bioinformatics 13: 331 (2012)

Zhihua Zhang: Fourier Supports of Scaling Functions Determine Cardinalities of Wavelets. IJWMIP 10(2) (2012)

Zhihua Zhang, Dakan Wang, Edward Y. Chang: An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling. Journal of Machine Learning Research - Proceedings Track 22: 1416-1424 (2012)

Shusen Wang, Zhihua Zhang: Colorization by Matrix Completion. AAAI 2012

Zhihua Zhang, Yoshiaki Tegoshi: Representation on tacit knowledge in production design support systems. FSKD 2012: 1546-1549

Zhihua Zhang, Bojun Tu: Nonconvex Penalization Using Laplace Exponents and Concave Conjugates. NIPS 2012: 611-619

Shusen Wang, Zhihua Zhang: A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound. NIPS 2012: 656-664

Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang: Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets. ECML/PKDD (1) 2012: 553-568

Shusen Wang, Zhihua Zhang, Jian Li: A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound. CoRR abs/1210.1461 (2012)

Zhihua Zhang, Michael Q. Zhang: Histone modification profiles are predictive for tissue/cell-type specific expression of both protein-coding and microRNA genes. BMC Bioinformatics 12: 155 (2011)

Zhihua Zhang, Guang Dai, Michael I. Jordan: Bayesian Generalized Kernel Mixed Models. Journal of Machine Learning Research 12: 111-139 (2011)

Cuixia Gao, Naiyan Wang, Qi Yu, Zhihua Zhang: A Feasible Nonconvex Relaxation Approach to Feature Selection. AAAI 2011

Hui Zhao, Jiuqiang Han, Naiyan Wang, Congfu Xu, Zhihua Zhang: A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products. AAAI 2011

Jun Feng, Zhihua Zhang, Zhengxu Zhao, Zhiwei Gao, Lijia Liu: A Novel Community Structure Detection Algorithm for Complex Networks Analysis Based on Coulomb's Law. AICI (3) 2011: 537-544

Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang: A non-convex relaxation approach to sparse dictionary learning. CVPR 2011: 1809-1816

Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang: Generalized Latent Factor Models for Social Network Analysis. IJCAI 2011: 1705-1710

Naoki Saito, Zhihua Zhang: On an Efficient Sparse Representation of Objects of General Shape via Continuous Extension and Wavelet Approximation. IJWMIP 8(2): 253-269 (2010)

Zhihua Zhang, Naoki Saito: Harmonic Wavelet Transform and Image Approximation. Journal of Mathematical Imaging and Vision 38(1): 14-34 (2010)

Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan: Bayesian Generalized Kernel Models. Journal of Machine Learning Research - Proceedings Track 9: 972-979 (2010)

Zhihua Zhang, Guang Dai, Michael I. Jordan: Matrix-Variate Dirichlet Process Mixture Models. Journal of Machine Learning Research - Proceedings Track 9: 980-987 (2010)

Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan: Regularized Discriminant Analysis, Ridge Regression and Beyond. Journal of Machine Learning Research 11: 2199-2228 (2010)

Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky: A regularization framework for multiclass classification: A deterministic annealing approach. Pattern Recognition 43(7): 2466-2475 (2010)

Yuchen Zhang, Dong Wang, Gang Wang, Weizhu Chen, Zhihua Zhang, Botao Hu, Li Zhang: Learning click models via probit bayesian inference. CIKM 2010: 439-448

Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, Shuicheng Yan: Sparse representation using nonnegative curds and whey. CVPR 2010: 3578-3585

Chao Xu, Minhe Ji, Wen Chen, Zhihua Zhang: Identifying travel mode from GPS trajectories through fuzzy pattern recognition. FSKD 2010: 889-893

Yoshiaki Tegoshi, Zhihua Zhang, Zhou Su: Expression of Design Problem by Design Space Model to Support Collaborative Design in Basic Plan of Architectural Design. LSMS/ICSEE (1) 2010: 425-433

Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang: Sparse Unsupervised Dimensionality Reduction Algorithms. ECML/PKDD (1) 2010: 361-376

Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung: Latent Wishart Processes for Relational Kernel Learning. Journal of Machine Learning Research - Proceedings Track 5: 336-343 (2009)

Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, Dit-Yan Yeung: Coherence Functions for Multicategory Margin-based Classification Methods. Journal of Machine Learning Research - Proceedings Track 5: 647-654 (2009)

Zhihua Zhang, Michael I. Jordan: Latent Variable Models for Dimensionality Reduction. Journal of Machine Learning Research - Proceedings Track 5: 655-662 (2009)

Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang: Probabilistic Relational PCA. NIPS 2009: 1123-1131

Zhihua Zhang, Guang Dai: Optimal Scoring for Unsupervised Learning. NIPS 2009: 2241-2249

Zhihua Zhang, Guang Dai, Michael I. Jordan: A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. ECML/PKDD (2) 2009: 632-647

Zhihua Zhang: Modeling and knowledge representation of machine element design for intelligent design support systems. CIT 2008: 456-461

Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung: Posterior Consistency of the Silverman g-prior in Bayesian Model Choice. NIPS 2008: 1969-1976

Zhihua Zhang: Measures, densities and diameters of frequency bands of scaling functions and wavelets. Journal of Approximation Theory 148(2): 128-147 (2007)

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms and extensions. Machine Learning 69(1): 1-33 (2007)

Zhihua Zhang, Gang Wu, Edward Y. Chang: Semiparametric Regression Using Student t Processes. IEEE Transactions on Neural Networks 18(6): 1572-1588 (2007)

Yong Zhang, Shaojuan Li, Geir Skogerbø, Zhihua Zhang, Xiaopeng Zhu, Zefeng Zhang, Shiwei Sun, Hongchao Lu, Baochen Shi, Runsheng Chen: Phylophenetic properties of metabolic pathway topologies as revealed by global analysis. BMC Bioinformatics 7: 252 (2006)

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Model-based transductive learning of the kernel matrix. Machine Learning 63(1): 69-101 (2006)

Tao Wu, Jie Wang, Changning Liu, Yong Zhang, Baochen Shi, Xiaopeng Zhu, Zhihua Zhang, Geir Skogerbø, Lan Chen, Hongchao Lu, Yi Zhao, Runsheng Chen: NPInter: the noncoding RNAs and protein related biomacromolecules interaction database. Nucleic Acids Research 34(Database-Issue): 150-152 (2006)

Zhihua Zhang, Changning Liu, Geir Skogerbø, Xiaopeng Zhu, Hongchao Lu, Lan Chen, Baochen Shi, Yong Zhang, Jie Wang, Tao Wu, Runsheng Chen: Dynamic Changes in Subgraph Preference Profiles of Crucial Transcription Factors. PLoS Computational Biology 2(5) (2006)

Zhihua Zhang, Hiroshi Sato: Design Object Modeling Based on Designer's Creation Idea for Design Support of Conceptual Stage of Architectural Design. CIT 2006: 271

Ankur Jain, Zhihua Zhang, Edward Y. Chang: Adaptive non-linear clustering in data streams. CIKM 2006: 122-131

Zhihua Zhang, Michael I. Jordan: Bayesian Multicategory Support Vector Machines. UAI 2006

Zhihua Zhang: Periodic wavelet frames. Adv. Comput. Math. 22(2): 165-180 (2005)

Zhihua Zhang: Weld Joint Modeling and Representation on Assembly Structure for Knowledge-Based Design Support Systems. CIT 2005: 881-887

Gang Wang, Zhihua Zhang, Frederick H. Lochovsky: Annealed Discriminant Analysis. ECML 2005: 449-460

Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. Lochovsky: A Bernoulli Relational Model for Nonlinear Embedding. ICDM 2005: 458-465

Gang Wu, Edward Y. Chang, Zhihua Zhang: Learning with non-metric proximity matrices. ACM Multimedia 2005: 411-414

Gang Wu, Zhihua Zhang, Edward Y. Chang: Kronecker Factorization for Speeding up Kernel Machines. SDM 2005

Yong Zhang, Zhihua Zhang, Lunjiang Ling, Baochen Shi, Runsheng Chen: Conservation analysis of small RNA genes in Escherichia coli. Bioinformatics 20(5): 599-603 (2004)

Zhihua Zhang, Kap Luk Chan, Yiming Wu, Chibiao Chen: Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm. Statistics and Computing 14(4): 343-355 (2004)

Zhihua Zhang, Isao Nagasawa: Object Modeling and Design Knowledge Processing Based-On Assembly Structure in Manufacturing Design of Welding Vessels. CIT 2004: 1052-1057

Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung: Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. AAAI 2004: 372-377

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. ICML 2004

Zhihua Zhang, Dit-Yan Yeung, James T. Kwok: Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. ICML 2004

Zhihua Zhang, Chibiao Chen, Jian Sun, Kap Luk Chan: EM algorithms for Gaussian mixtures with split-and-merge operation. Pattern Recognition 36(9): 1973-1983 (2003)

Yong Huang, Kap Luk Chan, Zhihua Zhang: Texture classification by multi-model feature integration using Bayesian networks. Pattern Recognition Letters 24(1-3): 393-401 (2003)

Lei Wang, Kap Luk Chan, Zhihua Zhang: Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval. CVPR (1) 2003: 629-634

Zhihua Zhang: Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation. ICML 2003: 872-879

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Parametric Distance Metric Learning with Label Information. IJCAI 2003: 1450-

Zhihua Zhang, Isao Nagasawa, M. Mochizuki, H. Yamaguchi, Masanobu Umeda: An Application of Assembly Structure in Welding Estimate of Welding Object in Manufacturing Design. Intelligent Information Processing 2002: 311-314

Nanning Zheng, Zhihua Zhang, Haibing Zheng, Shi Gang: Deterministic Annealing Learning of the Radial Basis Function Nets for Improving the Regression Ability of RBF Network. IJCNN (3) 2000: 601-607