# Zhihua Zhang

According to our database1, Zhihua Zhang authored at least 209 papers between 1999 and 2020.

Collaborative distances:

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## Bibliography

2020
Reconstructibility Analysis and Observer Design for Boolean Control Networks.
IEEE Trans. Control. Netw. Syst., 2020

Reduced-Order Observer Design for Boolean Control Networks.
IEEE Trans. Autom. Control., 2020

Frost Filtering Algorithm of SAR Images With Adaptive Windowing and Adaptive Tuning Factor.
IEEE Geosci. Remote. Sens. Lett., 2020

Leader-following consensus control of position-constrained multiple Euler-Lagrange systems with unknown control directions.
Neurocomputing, 2020

Landscape of Sparse Linear Network: A Brief Investigation.
CoRR, 2020

Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond.
CoRR, 2020

CoRR, 2020

An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization.
CoRR, 2020

Communication-Efficient Distributed SVD via Local Power Iterations.
CoRR, 2020

Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite.
Bioinform., 2020

Positive Sequence Current Phase-Based Improved Reverse-Power Protection and a PV Hosting Capacity Assessment Method for Spot Networks.
IEEE Access, 2020

Optimal Harmonic Measuring Device Placement in Distribution Networks in Consideration of Topology Changes.
IEEE Access, 2020

A Novel Fault Diagnosis Approach for Rolling Bearing Based on High-Order Synchrosqueezing Transform and Detrended Fluctuation Analysis.
IEEE Access, 2020

Noise Reduction in ECG Signal Using an Effective Hybrid Scheme.
IEEE Access, 2020

Embedding Additional Behaviors into Users' Daily Routines for Improving Users' Awareness of Self-Health Condition.
Proceedings of the Eighth International Workshop on Behavior Change Support Systems organized in conjunction with the 15th International Conference on Persuasive Technology 2020 (Persuasive 2020) hosted by the University of, 2020

Implementation and Field Evaluation of Location-based Nursing Record System QuickCareRecord.
Proceedings of the 14th International Symposium on Medical Information Communication Technology, 2020

On the Convergence of FedAvg on Non-IID Data.
Proceedings of the 8th International Conference on Learning Representations, 2020

Efficient Spectrum-Revealing CUR Matrix Decomposition.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Do Subsampled Newton Methods Work for High-Dimensional Data?
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Thrust Control of a Double-Sided Linear Induction Motor With Segmented Power Supply.
IEEE Trans. Ind. Electron., 2019

Fast stochastic second-order method logarithmic in condition number.
Pattern Recognit., 2019

Robust Frequent Directions with Application in Online Learning.
J. Mach. Learn. Res., 2019

Distributed low-complexity output feedback tracking control for nonlinear multi-agent systems with unmodeled dynamics and prescribed performance.
Int. J. Syst. Sci., 2019

Consensus control of higher-order nonlinear multi-agent systems with unknown control directions.
Neurocomputing, 2019

Fast Generalized Matrix Regression with Applications in Machine Learning.
CoRR, 2019

Communication Efficient Decentralized Training with Multiple Local Updates.
CoRR, 2019

Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network.
CoRR, 2019

A Stochastic Proximal Point Algorithm for Saddle-Point Problems.
CoRR, 2019

A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization.
CoRR, 2019

Towards Better Generalization: BP-SVRG in Training Deep Neural Networks.
CoRR, 2019

A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems.
CoRR, 2019

A Unified Framework for Regularized Reinforcement Learning.
CoRR, 2019

Investigating effects of interactive signage-based stimulation for promoting behavior change.
Comput. Intell., 2019

Overview and comparison of approaches towards an algebraic description of discrete event systems.
Annu. Rev. Control., 2019

Detecting Defects Based on Mining and Confirming Programming Patterns From Different Versions of Projects.
IEEE Access, 2019

Fault Tolerant Control for Hexacopter with Reducing Yaw Rate.
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019

Research on Fault Diagnosis Method Based on RSAPSO-DBN.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Design of Behavior Change Environment with Interactive Signage Having Active Talk Function.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

QuickCareRecord: Efficient Care Recording Application with Location-based Automatic View Transition and Information Complement.
Proceedings of the 13th International Symposium on Medical Information and Communication Technology, 2019

A Proposal of Care Planning Infrastructure Platform for Reducing Burden on Caretakers in Nursing Homes.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Proceedings of the 36th International Conference on Machine Learning, 2019

Curve form based quantization of short time series data.
Proceedings of the 18th European Control Conference, 2019

An improved algorithm for stabilization of Boolean networks via pinning control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Finite Horizon Tracking Control of Boolean Control Networks.
IEEE Trans. Autom. Control., 2018

A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks.
J. Sensors, 2018

Detection of selective forwarding attacks based on adaptive learning automata and communication quality in wireless sensor networks.
Int. J. Distributed Sens. Networks, 2018

A scalable community detection algorithm for large graphs using stochastic block models.
Intell. Data Anal., 2018

Hierarchical Attention: What Really Counts in Various NLP Tasks.
CoRR, 2018

Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks.
CoRR, 2018

Delta: a new web-based 3D genome visualization and analysis platform.
Bioinform., 2018

Reverberation Chambers for Over-the-Air Tests: An Overview of Two Decades of Research.
IEEE Access, 2018

Mining Function Call Sequence Patterns Across Different Versions of the Project for Defect Detection.
Proceedings of the Software Analysis, Testing, and Evolution, 2018

Sketched Follow-The-Regularized-Leader for Online Factorization Machine.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Investigating User Reactions to Interactive-signage-based Stimulation Toward Behavior Change.
Proceedings of the Eleventh International Conference on Mobile Computing and Ubiquitous Network, 2018

Active Fault Detection of Boolean Control Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

Data-Driven Controller Design for Boolean Control Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

Attention-via-Attention Neural Machine Translation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Fast Fisher discriminant analysis with randomized algorithms.
Pattern Recognit., 2017

Designing distributed consensus protocols for second-order nonlinear multi-agents with unknown control directions under directed graphs.
J. Frankl. Inst., 2017

Nesterov's Acceleration For Approximate Newton.
CoRR, 2017

A Unifying Framework for Convergence Analysis of Approximate Newton Methods.
CoRR, 2017

Online Learning Via Regularized Frequent Directions.
CoRR, 2017

Intrusion Detection Based on State Context and Hierarchical Trust in Wireless Sensor Networks.
IEEE Access, 2017

The thrust fluctuation suppression of segmented double sided linear induction motor.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Approximate Newton Methods and Their Local Convergence.
Proceedings of the 34th International Conference on Machine Learning, 2017

Identification of boolean control networks incorporating prior knowledge.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed observer design for large-scale Boolean control networks.
Proceedings of the 2017 American Control Conference, 2017

CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Computational inference of physical spatial organization of eukaryotic genomes.
Quant. Biol., 2016

Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition.
J. Mach. Learn. Res., 2016

SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions.
J. Mach. Learn. Res., 2016

A Key to Genome Maze in 3D.
Genom. Proteom. Bioinform., 2016

An Efficient Character-Level Neural Machine Translation.
CoRR, 2016

Tighter bound of Sketched Generalized Matrix Approximation.
CoRR, 2016

Revisiting Sub-sampled Newton Methods.
CoRR, 2016

Variance-Reduced Second-Order Methods.
CoRR, 2016

Inversion for Refractivity Parameters Using a Dynamic Adaptive Cuckoo Search with Crossover Operator Algorithm.
Comput. Intell. Neurosci., 2016

3CDB: a manually curated database of chromosome conformation capture data.
Database J. Biol. Databases Curation, 2016

Quasi-Newton Hamiltonian Monte Carlo.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Three Convolutional Neural Network-based models for learning Sentiment Word Vectors towards sentiment analysis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Frequent Direction Algorithms for Approximate Matrix Multiplication with Applications in CCA.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fault detection for probabilistic boolean networks.
Proceedings of the 2016 European Control Conference, 2016

Observer design for Boolean control networks.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A Scalable and Extensible Framework for Superposition-Structured Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Wishart Mechanism for Differentially Private Principal Components Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
C2MP: Chebyshev chaotic map-based authentication protocol for RFID applications.
Pers. Ubiquitous Comput., 2015

Controlled Remote State Preparation via General Pure Three-Qubit State.
Inf., 2015

Two-Dimensional Code Based Spatiotemporal Modeling and Its Application in Object Tracing.
Int. J. Distributed Sens. Networks, 2015

Parameter-Level Data Flow Modeling Oriented to Product Design Process.
Int. J. Bifurc. Chaos, 2015

SEP-QN: Scalable and Extensible Proximal Quasi-Newton Method for Dirty Statistical Models.
CoRR, 2015

Controlled Remote State Preparation via General Pure Three-Qubit State.
CoRR, 2015

A Nonconvex Approach for Structured Sparse Learning.
CoRR, 2015

The Singular Value Decomposition, Applications and Beyond.
CoRR, 2015

A New Relaxation Approach to Normalized Hypergraph Cut.
CoRR, 2015

S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut.
CoRR, 2015

Improved Analyses of the Randomized Power Method and Block Lanczos Method.
CoRR, 2015

Towards More Efficient Nystrom Approximation and CUR Matrix Decomposition.
CoRR, 2015

Distributed Multi-Armed Bandits: Regret vs. Communication.
CoRR, 2015

On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems.
CoRR, 2015

A Parallel algorithm for $\mathcal{X}$-Armed bandits.
CoRR, 2015

ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Testing and integration of JPSS Ozone Mapping and Profiler Suite (OMPS) algorithms using the Algorithm Development Library (ADL).
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Support Matrix Machines.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Learning sentiment-inherent word embedding for word-level and sentence-level sentiment analysis.
Proceedings of the 2015 International Conference on Asian Language Processing, 2015

2014
Joint remote state preparation between multi-sender and multi-receiver.
Quantum Inf. Process., 2014

The matrix ridge approximation: algorithms and applications.
Mach. Learn., 2014

Haar Wavelet Analysis of climatic Time Series.
Int. J. Wavelets Multiresolution Inf. Process., 2014

Group Orbit Optimization: A Unified Approach to Data Normalization.
CoRR, 2014

Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion.
CoRR, 2014

The Modified Nystrom Method: Theories, Algorithms, and Extension.
CoRR, 2014

Multicategory large margin classification methods: Hinge losses vs. coherence functions.
Artif. Intell., 2014

Estimating Semantic Similarity between Expanded Query and Tweet Content for Microblog Retrieval.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Distributed Power-law Graph Computing: Theoretical and Empirical Analysis.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Improving the modified nyström method using spectral shifting.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Estimation of calibration factors using K model of scattering coefficient.
Proceedings of the 10th International Conference on Natural Computation, 2014

Making Fisher Discriminant Analysis Scalable.
Proceedings of the 31th International Conference on Machine Learning, 2014

Parameter estimation of K model of radar cross section for synthetic aperture radar images based on second-kind statistics.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Efficient Algorithms and Error Analysis for the Modified Nystrom Method.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Exact Subspace Clustering in Linear Time.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Quantum teleportation and superdense coding through the composite W-Bell channel.
Quantum Inf. Process., 2013

An iterative SVM approach to feature selection and classification in high-dimensional datasets.
Pattern Recognit., 2013

Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling.
J. Mach. Learn. Res., 2013

Computational Identification of Active Enhancers in Model Organisms.
Genom. Proteom. Bioinform., 2013

A Nearly Unbiased Matrix Completion Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Nonconvex Relaxation Approaches to Robust Matrix Recovery.
Proceedings of the IJCAI 2013, 2013

A Scalable Approach to Column-Based Low-Rank Matrix Approximation.
Proceedings of the IJCAI 2013, 2013

Characterizing quantum channels via Wigner-Yanase skew information.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Large-Scale Hierarchical Classification via Stochastic Perceptron.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
EP-GIG Priors and Applications in Bayesian Sparse Learning.
J. Mach. Learn. Res., 2012

An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Coherence functions with applications in large-margin classification methods.
J. Mach. Learn. Res., 2012

Fourier Supports of Scaling Functions Determine Cardinalities of Wavelets.
Int. J. Wavelets Multiresolution Inf. Process., 2012

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
CoRR, 2012

Prediction of novel long non-coding RNAs based on RNA-Seq data of mouse Klf1 knockout study.
BMC Bioinform., 2012

Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Nonconvex Penalization Using Laplace Exponents and Concave Conjugates.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Representation on tacit knowledge in production design support systems.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Colorization by Matrix Completion.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Bayesian Generalized Kernel Mixed Models.
J. Mach. Learn. Res., 2011

Histone modification profiles are predictive for tissue/cell-type specific expression of both protein-coding and microRNA genes.
BMC Bioinform., 2011

TRECVID 2011 Semantic Indexing Task By NTT-SL-ZJU.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Generalized Latent Factor Models for Social Network Analysis.
Proceedings of the IJCAI 2011, 2011

A non-convex relaxation approach to sparse dictionary learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A Novel Community Structure Detection Algorithm for Complex Networks Analysis Based on Coulomb's Law.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

A Feasible Nonconvex Relaxation Approach to Feature Selection.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A regularization framework for multiclass classification: A deterministic annealing approach.
Pattern Recognit., 2010

Regularized Discriminant Analysis, Ridge Regression and Beyond.
J. Mach. Learn. Res., 2010

Bayesian Generalized Kernel Models.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Matrix-Variate Dirichlet Process Mixture Models.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Harmonic Wavelet Transform and Image Approximation.
J. Math. Imaging Vis., 2010

On an Efficient Sparse Representation of Objects of General Shape via Continuous Extension and Wavelet Approximation.
Int. J. Wavelets Multiresolution Inf. Process., 2010

Sparse Unsupervised Dimensionality Reduction Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Expression of Design Problem by Design Space Model to Support Collaborative Design in Basic Plan of Architectural Design.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Identifying travel mode from GPS trajectories through fuzzy pattern recognition.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Sparse representation using nonnegative curds and whey.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Learning click models via probit bayesian inference.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Coherence Functions for Multicategory Margin-based Classification Methods.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Latent Variable Models for Dimensionality Reduction.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Latent Wishart Processes for Relational Kernel Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Optimal Scoring for Unsupervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Probabilistic Relational PCA.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Modeling and knowledge representation of machine element design for intelligent design support systems.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
Semiparametric Regression Using Student t Processes.
IEEE Trans. Neural Networks, 2007

Surrogate maximization/minimization algorithms and extensions.
Mach. Learn., 2007

Measures, densities and diameters of frequency bands of scaling functions and wavelets.
J. Approx. Theory, 2007

2006
Dynamic Changes in Subgraph Preference Profiles of Crucial Transcription Factors.
PLoS Comput. Biol., 2006

NPInter: the noncoding RNAs and protein related biomacromolecules interaction database.
Nucleic Acids Res., 2006

Model-based transductive learning of the kernel matrix.
Mach. Learn., 2006

Phylophenetic properties of metabolic pathway topologies as revealed by global analysis.
BMC Bioinform., 2006

Bayesian Multicategory Support Vector Machines.
Proceedings of the UAI '06, 2006

Adaptive non-linear clustering in data streams.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Design Object Modeling Based on Designer's Creation Idea for Design Support of Conceptual Stage of Architectural Design.
Proceedings of the Sixth International Conference on Computer and Information Technology (CIT 2006), 2006

2005
Periodic wavelet frames.

Kronecker Factorization for Speeding up Kernel Machines.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Learning with non-metric proximity matrices.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

A Bernoulli Relational Model for Nonlinear Embedding.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Annealed Discriminant Analysis.
Proceedings of the Machine Learning: ECML 2005, 2005

Weld Joint Modeling and Representation on Assembly Structure for Knowledge-Based Design Support Systems.
Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005

2004
Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm.
Stat. Comput., 2004

Conservation analysis of small RNA genes in Escherichia coli.
Bioinform., 2004

Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm.
Proceedings of the Machine Learning, 2004

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model.
Proceedings of the Machine Learning, 2004

Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

Object Modeling and Design Knowledge Processing Based-On Assembly Structure in Manufacturing Design of Welding Vessels.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

2003
Texture classification by multi-model feature integration using Bayesian networks.
Pattern Recognit. Lett., 2003

EM algorithms for Gaussian mixtures with split-and-merge operation.
Pattern Recognit., 2003

Parametric Distance Metric Learning with Label Information.
Proceedings of the IJCAI-03, 2003

Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation.
Proceedings of the Machine Learning, 2003

Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
An Application of Assembly Structure in Welding Estimate of Welding Object in Manufacturing Design.
Proceedings of the Intelligent Information Processing, 2002

2001
Fuzzy generalization of the counter-propagation neural network: a family of soft competitive basis function neural networks.
Soft Comput., 2001

2000
Deterministic Annealing Learning of the Radial Basis Function Nets for Improving the Regression Ability of RBF Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Self-creating and adaptive learning of RBF networks: merging soft-competition clustering algorithm with network growth technique.
Proceedings of the International Joint Conference Neural Networks, 1999