Xinhua Zhang

发表

Convex Multi-view Subspace Learning

Martha White, Yaoliang Yu, Xinhua Zhang, 2012, NIPS.

Recognition of Radiated Noises of Ships Using Auditory Features and Support Vector Machines

Xinhua Zhang, Chunyu Kang, Zhijun Xia, 2005, ISNN.

Empirical Risk Minimization

Xinhua Zhang, 2017, Encyclopedia of Machine Learning and Data Mining.

Modified LQG/LTR Control Methodology in Active Structural Control

Xinhua Zhang, Chao Wang, Yan Sheng, 2003 .

Support Vector Machines

Xinhua Zhang, 2017, Encyclopedia of Machine Learning and Data Mining.

A fault-tolerant routing strategy for Gaussian cube using Gaussian tree

Xinhua Zhang, Loh Peter, 2003, 2003 International Conference on Parallel Processing Workshops, 2003. Proceedings..

Feasibility study on accurate rapid prototyping for human hand bones and affiliated artery

Xinhua Zhang, Dafeng Ji, Xinrong Chen, 2017 .

A security improved OpenSST prototype combining with smart card

Christoph Meinel, Xinhua Zhang, Alexandre Dulaunoy, 2003, 2003 International Conference on Computer Networks and Mobile Computing, 2003. ICCNMC 2003..

Scalable and Sound Low-Rank Tensor Learning

Yaoliang Yu, Xinhua Zhang, Dale Schuurmans, 2016, AISTATS.

Inductive Two-layer Modeling with Parametric Bregman Transfer

Yaoliang Yu, Xinhua Zhang, Zhan Shi, 2018, ICML.

Kernel Methods

Xinhua Zhang, 2010, Encyclopedia of Machine Learning.

Bayesian Models for Structured Sparse Estimation via Set Cover Prior

Xinhua Zhang, Tibério S. Caetano, Xianghang Liu, 2014, ECML/PKDD.

Pseudo-MDPs and factored linear action models

Xinhua Zhang, Csaba Szepesvári, Bernardo Ávila Pires, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Enhance Opensst Protocol's Security with Smart Card

Christoph Meinel, Xinhua Zhang, Alexandre Dulaunoy, 2003, ICWI.

Empirical Risk Minimization

Xinhua Zhang, Xinhua Zhang, 2010, Encyclopedia of Machine Learning.

Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions

Martha White, Yaoliang Yu, Xinhua Zhang, 2011, AAAI.

Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search

Xinhua Zhang, Mohammad Ali Bashiri, 2017, NIPS.

A Neural Network Blind Separation Method Based on Special Frequency Bins

Xinhua Zhang, Tianshuang Qiu, Anqing Zhang, 2005, ISNN.

Lower Bounds on Rate of Convergence of Cutting Plane Methods

Xinhua Zhang, S. V. N. Vishwanathan, Ankan Saha, 2010, NIPS.

A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification

Xinhua Zhang, Garrett T. Kenyon, Xinhua Zhang, 2016, BICT.

Online learner emotional analysis based on big dataset of online learning forum

Xinhua Zhang, Xiaoli Yang, Tingting He, 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

A XML format secure protocol - OpenSST

Christoph Meinel, Xinhua Zhang, Wanjun Huang, 2005, The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005..

Consistent image analogies using semi-supervised learning

Xinhua Zhang, S. V. N. Vishwanathan, Li Cheng, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A New Kind of Method for DOA Estimation Based on Blind Source Separation and MVDR Beamforming

Dong Han, Xinhua Zhang, Chunyu Kang, 2009, 2009 Fifth International Conference on Natural Computation.

Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations

Yaoliang Yu, Xinhua Zhang, Dale Schuurmans, 2012, ICML.

Accelerated Training for Matrix-norm Regularization: A Boosting Approach

Yaoliang Yu, Xinhua Zhang, Dale Schuurmans, 2012, NIPS.

Robust Bayesian Max-Margin Clustering

Xinhua Zhang, Jun Zhu, Changyou Chen, 2014, NIPS.

Blind Adaptive Beamformer Based on Independent Component Analysis for Underwater Passive Acoustic Source Separation

Xinhua Zhang, Wentao Fan, Zhijun Xia, 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

Medical Image Segmentation Using a Combined Approach

Christoph Meinel, Xinhua Zhang, Chunyan Jiang, 2005, VISION.

Accelerated training of max-margin Markov networks with kernels

Xinhua Zhang, S. V. N. Vishwanathan, Ankan Saha, 2011, Theor. Comput. Sci..

Segmentation and quantification of brain tumor

Christoph Meinel, Xinhua Zhang, Wanjun Huang, 2004, 2004 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2004. (VCIMS)..

Stability in impulsive Cohen-Grossberg-type BAM neural networks with distributed delays

Kelin Li, Xinhua Zhang, Liping Zhang, 2010, Appl. Math. Comput..

Can Deep Learning Learn the Principle of Closed Contour Detection?

Xinhua Zhang, Garrett T. Kenyon, Yijing Watkins, 2018, ISVC.

DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression pdf

Xinhua Zhang, S. V. N. Vishwanathan, Shin Matsushima, 2016, ArXiv.

Learning Forum Posts Topic Discovery and Its Application in Recommendation System

Xinhua Zhang, Tingting He, Zibo Zhou, 2015, J. Softw..

Convex Relaxations of Bregman Divergence Clustering pdf

Xinhua Zhang, Dale Schuurmans, Hao Cheng, 2013, UAI.

A new method of the image pattern recognition based on neural networks

Xinhua Zhang, Long Wang, Fujun Ren, 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies pdf

Xinhua Zhang, S. V. N. Vishwanathan, Ankan Saha, 2010, ArXiv.

Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem

Xinhua Zhang, S. V. N. Vishwanathan, Shin Matsushima, 2017, ECML/PKDD.

SJTU CIT at TAC 2010: Guided Summarization Task

Yinglin Wang, Peng Li, Xinhua Zhang, 2010, TAC.

Structural Risk Minimization

Xinhua Zhang, Xinhua Zhang, 2010, Encyclopedia of Machine Learning and Data Mining.

Kernel Measures of Independence for non-iid Data

Le Song, Alexander J. Smola, Xinhua Zhang, 2008, NIPS.

B Spline Wavelet Based Medical Image Edge Extraction

Xinhua Zhang, Yu Chen, Anna Wang, 2007, IMECS.

Technical and economic analysis on grid-connected wind farm based on hybrid energy storage system and distributed generators

Xinhua Zhang, Maolin Shi, Xiaochun Chen, 2017 .

Hybrid Framework for Medical Image Segmentation

Christoph Meinel, Xinhua Zhang, Chunyan Jiang, 2005, CAIP.

Conditional random fields for multi-agent reinforcement learning

Xinhua Zhang, S. V. N. Vishwanathan, Douglas Aberdeen, 2007, ICML '07.

Intercomparison of Precipitation Estimates From WSR-88D Radar and TRMM Measurement Over Continental United States

Weiyue Li, Xinhua Zhang, Yang Hong, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Smoothing multivariate performance measures

Xinhua Zhang, S. V. N. Vishwanathan, Ankan Saha, 2011, J. Mach. Learn. Res..

Tailoring density estimation via reproducing kernel moment matching

Le Song, Bernhard Schölkopf, Alexander J. Smola, 2008, ICML '08.

Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms

Xinhua Zhang, Wee Sun Lee, Xinhua Zhang, 2006, NIPS.

Structural Risk Minimization

Xinhua Zhang, 2017, Encyclopedia of Machine Learning and Data Mining.

Generalized Conditional Gradient for Sparse Estimation pdf

Yaoliang Yu, Xinhua Zhang, Dale Schuurmans, 2014, J. Mach. Learn. Res..

Convex Two-Layer Modeling with Latent Structure

Yaoliang Yu, Xinhua Zhang, Junfeng Wen, 2016, NIPS.

A Very Gentle Note on the Construction of Dirichlet Process

Xinhua Zhang, 2008 .

Energy-preserving finite volume element method for the improved Boussinesq equation

Xinhua Zhang, Zhiyue Zhang, Quanyong Zhu, 2014, J. Comput. Phys..

A Fault-Tolerant Routing Strategy for Fibonacci-Class Cubes

Xinhua Zhang, Peter Loh, 2005, Asia-Pacific Computer Systems Architecture Conference.

Inter-Comparison of High-Resolution Satellite Precipitation Products over Central Asia

Xinhua Zhang, Sheng Chen, Anming Bao, 2015, Remote. Sens..

Convex Deep Learning via Normalized Kernels

Xinhua Zhang, Dale Schuurmans, Özlem Aslan, 2014, NIPS.

Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space

Yee Whye Teh, Xinhua Zhang, Wee Sun Lee, 2013, NIPS.

Covariance Matrix

Xinhua Zhang, 2010, Encyclopedia of Machine Learning.

Iris Recognition Based on Wavelet Neural Network Transform System

Jie Wu, Xinhua Zhang, Yu Chen, 2007, IMECS.

New approximation algorithms for minimum enclosing convex shapes

Xinhua Zhang, S. V. N. Vishwanathan, Ankan Saha, 2009, SODA '11.

A decision fusion approach for target classification

Xinhua Zhang, Jicheng Wang, Liangji Lin, 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).

Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks

Xinhua Zhang, Chunyu Kang, Hongwen Lin, 2004, ISNN.

A Research on Medical Image Interpolation Based on Cubic Convolution and Adaptive Interpolation

Peng Li, Xinhua Zhang, Anna Wang, 2007, IMECS.

A Fusion Algorithm of Multiple Classifiers for Recognition of Ships Radiated_Noises Based on Many-Person Decision-Makings Theory

Xinhua Zhang, Chunyu Kang, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

Gaussian Distribution

Xinhua Zhang, Xinhua Zhang, 2010, Encyclopedia of Machine Learning and Data Mining.

Faster Rates for training Max-Margin Markov Networks pdf

Xinhua Zhang, S. V. N. Vishwanathan, Ankan Saha, 2010, ArXiv.

Direction of Arrival Estimation Using Two Hydrophones: Frequency Diversity Technique for Passive Sonar

Xinhua Zhang, Wenlong Zhang, Peng Li, 2019, Sensors.

Routing based workflow for construction of distributed applications

Christoph Meinel, Xinhua Zhang, Uwe Roth, 2004, Proceedings. ISCC 2004. Ninth International Symposium on Computers And Communications (IEEE Cat. No.04TH8769).

Sparse Learning Based Linear Coherent Bi-clustering

Xinhua Zhang, Dale Schuurmans, Yi Shi, 2012, WABI.

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures

Xinhua Zhang, Thore Graepel, Ralf Herbrich, 2010, AISTATS.

Convex Two-Layer Modeling

Xinhua Zhang, Dale Schuurmans, Hao Cheng, 2013, NIPS.

Existence and exponential stability of periodic solution for Cohen-Grossberg neural networks with hybrid delays

Kelin Li, Xinhua Zhang, Zuoan Li, 2010, 2010 Sixth International Conference on Natural Computation.

A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations

Xinhua Zhang, Garrett T. Kenyon, Peter F. Schultz, 2016, BICT.

Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction

Yaoliang Yu, Xinhua Zhang, Zhan Shi, 2017, NIPS.