Han Liu

According to our database1, Han Liu
  • authored at least 189 papers between 2003 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Enhanced Explicit Semantic Analysis for Product Model Retrieval in Construction Industry.
IEEE Trans. Industrial Informatics, 2017

Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification.
Remote Sensing, 2017

Novel density-based and hierarchical density-based clustering algorithms for uncertain data.
Neural Networks, 2017

Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions.
Math. Program., 2017

Self-adapted mixture distance measure for clustering uncertain data.
Knowl.-Based Syst., 2017

Rule Based Networks: An Efficient and Interpretable Representation of Computational Models.
J. Artif. Intell. Soft Comput. Res., 2017

Multi-task clustering through instances transfer.
Neurocomputing, 2017

Continual Learning in Generative Adversarial Nets.
CoRR, 2017

Homotopy Parametric Simplex Method for Sparse Learning.
CoRR, 2017

A DDoS attack detection system based on spark framework.
Comput. Sci. Inf. Syst., 2017

How2Sketch: generating easy-to-follow tutorials for sketching 3D objects.
Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2017

A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein's Lemma.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Parametric Simplex Method for Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A language model for statements of software code.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Saliency Detection Optimization via Modified Secondary Manifold Ranking and Blurring Depression.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

EMR: Extended Manifold Ranking for Saliency Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A Novel Spatial Information Model for Saliency Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Stochastic optimization of program obfuscation.
Proceedings of the 39th International Conference on Software Engineering, 2017

Domain specific syntax based approach for text classification in machine learning context.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Virtual topology partitioning towards an efficient failure recovery of software defined networks.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Decision tree learning based feature evaluation and selection for image classification.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Transformation of discriminative single-task classification into generative multi-task classification in machine learning context.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

Fuzzy rule based systems for interpretable sentiment analysis.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

Fuzzy approach for sentiment analysis.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Matching Depth to RGB for Boosting Face Verification.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

CANE: Context-Aware Network Embedding for Relation Modeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Interpretability of Computational Models for Sentiment Analysis.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

Ergonomics-Inspired Reshaping and Exploration of Collections of Models.
IEEE Trans. Vis. Comput. Graph., 2016

Multi-Task Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., 2016

A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs.
NeuroImage, 2016

Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods.
Math. Program. Comput., 2016

Collaborative rule generation: An ensemble learning approach.
Journal of Intelligent and Fuzzy Systems, 2016

A new partial coverage locating model for cooperative fire services.
Inf. Sci., 2016

Design of shift-invariant nonuniform cosine-modulated filter bank with arbitrary integer sampling factors.
Digital Signal Processing, 2016

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
CoRR, 2016

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
CoRR, 2016

Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization.
CoRR, 2016

A First Order Free Lunch for SQRT-Lasso.
CoRR, 2016

How2Sketch: Generating Easy-To-Follow Tutorials for Sketching 3D Objects.
CoRR, 2016

SmartCanvas: Context-inferred Interpretation of Sketches for Preparatory Design Studies.
Comput. Graph. Forum, 2016

Complexity Control in Rule Based Models for Classification in Machine Learning Context.
Proceedings of the Advances in Computational Intelligence Systems, 2016

From Stateflow Simulation to Verified Implementation: A Verification Approach and A Real-Time Train Controller Design.
Proceedings of the 2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2016

More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Agnostic Estimation for Misspecified Phase Retrieval Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Blind Attacks on Machine Learners.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Tsmart-BIPEX: An Integrated Graphical Design Toolkit for Software Systems.
Proceedings of the MoDELS 2016 Demo and Poster Sessions co-located with ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016), 2016

A Truth Discovery Approach with Theoretical Guarantee.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Model driven design of heterogeneous synchronous embedded systems.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

ZigBee-based smart home system design and dynamic collecting cycle optimization.
Proceedings of the 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016

Rule based systems and networks: Deterministic and fuzzy approaches.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Self-Adapted Multi-Task Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Towards better program obfuscation: optimization via language models.
Proceedings of the 38th International Conference on Software Engineering, 2016

Use runtime verification to improve the quality of medical care practice.
Proceedings of the 38th International Conference on Software Engineering, 2016

Nature and biology inspired approach of classification towards reduction of bias in machine learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity.
Proceedings of the 33nd International Conference on Machine Learning, 2016

On the Statistical Limits of Convex Relaxations.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Multiphase Image Segmentation Based on Improved LBF Model.
Proceedings of the Intelligent Computing Theories and Application, 2016

Taming Interrupts for Verifying Industrial Multifunction Vehicle Bus Controllers.
Proceedings of the FM 2016: Formal Methods, 2016

Safety-Assured Formal Model-Driven Design of the Multifunction Vehicle Bus Controller.
Proceedings of the FM 2016: Formal Methods, 2016

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Low-Rank and Sparse Structure Pursuit via Alternating Minimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Design of Mixed Synchronous/Asynchronous Systems with Multiple Clocks.
IEEE Trans. Parallel Distrib. Syst., 2015

Smart Multitask Bregman Clustering and Multitask Kernel Clustering.
TKDD, 2015

Optimal Feature Selection in High-Dimensional Discriminant Analysis.
IEEE Trans. Information Theory, 2015

Generalized alternating direction method of multipliers: new theoretical insights and applications.
Math. Program. Comput., 2015

Calibrated multivariate regression with application to neural semantic basis discovery.
Journal of Machine Learning Research, 2015

The flare package for high dimensional linear regression and precision matrix estimation in R.
Journal of Machine Learning Research, 2015

A direct estimation of high dimensional stationary vector autoregressions.
Journal of Machine Learning Research, 2015

Optimal linear estimation under unknown nonlinear transform.
CoRR, 2015

Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference.
CoRR, 2015

The Knowledge Gradient Policy Using A Sparse Additive Belief Model.
CoRR, 2015

Replaceable Substructures for Efficient Part-Based Modeling.
Comput. Graph. Forum, 2015

glmgraph: an R package for variable selection and predictive modeling of structured genomic data.
Bioinformatics, 2015

A Nonconvex Optimization Framework for Low Rank Matrix Estimation.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal Linear Estimation under Unknown Nonlinear Transform.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Local Smoothness in Variance Reduced Optimization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Non-convex Statistical Optimization for Sparse Tensor Graphical Model.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Robust Portfolio Optimization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multi-Task Multi-View Clustering for Non-Negative Data.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Hybrid ensemble learning approach for generation of classification rules.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Network based rule representation for knowledge discovery and predictive modelling.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Research on image denoising using patch-based singular value decomposition.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Calibrated Precision Matrix Estimation for High-Dimensional Elliptical Distributions.
IEEE Trans. Information Theory, 2014

Compressive Network Analysis.
IEEE Trans. Automat. Contr., 2014

A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming.
SIAM Journal on Optimization, 2014

High Dimensional Semiparametric Scale-Invariant Principal Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Evaluation of local features and classifiers in BOW model for image classification.
Multimedia Tools Appl., 2014

The fastclime package for linear programming and large-scale precision matrix estimation in R.
Journal of Machine Learning Research, 2014

Graph estimation from multi-attribute data.
Journal of Machine Learning Research, 2014

Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time.
CoRR, 2014

iDola: Bridge Modeling to Verification and Implementation of Interrupt-Driven Systems.
Proceedings of the 2014 Theoretical Aspects of Software Engineering Conference, 2014

Application-Specific Architecture Selection for Embedded Systems via Schedulability Analysis.
Proceedings of the 2014 Theoretical Aspects of Software Engineering Conference, 2014

Tsmart-GalsBlock: a toolkit for modeling, validation, and synthesis of multi-clocked embedded systems.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

Accelerated Mini-batch Randomized Block Coordinate Descent Method.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Multivariate Regression with Calibration.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparse PCA with Oracle Property.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Mode Estimation for High Dimensional Discrete Tree Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Categorization and Construction of Rule Based Systems.
Proceedings of the Engineering Applications of Neural Networks, 2014

Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Novel Density-Based Clustering Algorithms for Uncertain Data.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Constraint-aware interior layout exploration for pre-cast concrete-based buildings.
The Visual Computer, 2013

Robust Ellipse Fitting Based on Sparse Combination of Data Points.
IEEE Trans. Image Processing, 2013

Dual-Tree Cosine-Modulated Filter Bank With Linear-Phase Individual Filters: An Alternative Shift-Invariant and Directional-Selective Transform.
IEEE Trans. Image Processing, 2013

Weakly-supervised object localization in unlabeled image collection.
Multimedia Syst., 2013

CODA: high dimensional copula discriminant analysis.
Journal of Machine Learning Research, 2013

Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification.
CoRR, 2013

Interactive Facades Analysis and Synthesis of Semi-Regular Facades.
Comput. Graph. Forum, 2013

Modeling/predicting the evolution trend of osn-based applications.
Proceedings of the 22nd International World Wide Web Conference, 2013

System reliability calculation based on the run-time analysis of ladder program.
Proceedings of the Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, 2013

Sparse Inverse Covariance Estimation with Calibration.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Markov Network Estimation From Multi-attribute Data.
Proceedings of the 30th International Conference on Machine Learning, 2013

Feature Selection in High-Dimensional Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

Principal Component Analysis on non-Gaussian Dependent Data.
Proceedings of the 30th International Conference on Machine Learning, 2013

Transition Matrix Estimation in High Dimensional Time Series.
Proceedings of the 30th International Conference on Machine Learning, 2013

Sparse Principal Component Analysis for High Dimensional Multivariate Time Series.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.
Trans. Large-Scale Data- and Knowledge-Centered Systems, 2012

The huge Package for High-dimensional Undirected Graph Estimation in R.
Journal of Machine Learning Research, 2012

Sparse Additive Machine.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Marginal Regression For Multitask Learning.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Detecting Network Cliques with Radon Basis Pursuit.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Structured Sparse Canonical Correlation Analysis.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Development of Multi-fingered Robotic Hand with Coupled and directly Self-Adaptive Grasp.
I. J. Humanoid Robotics, 2012

Sparse Nonparametric Graphical Models
CoRR, 2012

The Nonparanormal SKEPTIC.
CoRR, 2012

Instance-Level Landmark Labeling via Multi-layer Superpixels.
Proceedings of the Advances in Multimedia Information Processing - PCM 2012, 2012

Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation.
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

Exponential Concentration for Mutual Information Estimation with Application to Forests.
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

Transelliptical Graphical Models.
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

Transelliptical Component Analysis.
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

Semiparametric Principal Component Analysis.
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

Distributed measurement-aware routing: Striking a balance between measurement and traffic engineering.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

A direction Change-based algorithm for polygonal approximation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

High Dimensional Semiparametric Gaussian Copula Graphical Models.
Proceedings of the 29th International Conference on Machine Learning, 2012

A New Method of Stereo Localization Using Dual-PTZ-Cameras.
Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012

Evolving Landscape of Cellular Network Traffic.
Proceedings of the 21st International Conference on Computer Communications and Networks, 2012

Class-Specified Segmentation with Multi-scale Superpixels.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2011
Forest Density Estimation.
Journal of Machine Learning Research, 2011

Compressive Network Analysis
CoRR, 2011

Distributed Classification for Pocket Data Mining.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Exploiting context aware category discovery for image labeling.
Proceedings of the ICIMCS 2011, 2011

Visual Object Localization in Image Collections.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

The design of indoor emergency management system based on wireless location.
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

2010
Mining Historic Query Trails to Label Long and Rare Search Engine Queries.
TWEB, 2010

The Group Dantzig Selector.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Graph-Valued Regression.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multivariate Dyadic Regression Trees for Sparse Learning Problems.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Forest Density Estimation.
Proceedings of the COLT 2010, 2010

Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Estimation Consistency of the Group Lasso and its Applications.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs.
Journal of Machine Learning Research, 2009

Nonparametric Greedy Algorithms for the Sparse Learning Problem.
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

Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A neural network approach for least squares support vector machines learning.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A Framework for Efficient Association Rule Mining in XML Data.
Proceedings of the Database Technologies: Concepts, 2009

2008
Network Coding for Information Exchange between Multiple Nodes in Wireless Networks.
Proceedings of the 67th IEEE Vehicular Technology Conference, 2008

Network Coding for P2P Live Media Streaming.
Proceedings of the IFIP International Conference on Network and Parallel Computing, 2008

Nonparametric regression and classification with joint sparsity constraints.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

SpAM: Sparse Additive Models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
A Framework for Efficient Association Rule Mining in XML Data.
J. Database Manag., 2006

Towards the Prediction of Protein Abundance from Tandem Mass Spectrometry Data.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Double Inverted Pendulum Control Based on Support Vector Machines and Fuzzy Inference.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
D-GridMST: Clustering Large Distributed Spatial Databases.
Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

A Generalized Real-Time Obstacle Avoidance Method Without the Cspace Calculation.
J. Comput. Sci. Technol., 2005

XAR-miner: efficient association rules mining for XML data.
Proceedings of the 14th international conference on World Wide Web, 2005

X-warehouse: building query pattern-driven data.
Proceedings of the 14th international conference on World Wide Web, 2005

Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs.
Proceedings of the Gesture in Human-Computer Interaction and Simulation, 2005

2004
A robot path planning approach based on generalized semi-infinite optimization.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

An Extended Linear Strategy Bridging the Gap between Regression and SVD Decomposition for Modeling Peptide Tandem Mass Spectrometry Data.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2004

An Effective and Efficient Data Cleaning Technique in Large Databases.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004

Generalized Semi-Infinite Optimization and its Application in Robotics' Path Planning Problem.
Proceedings of the International Conference on Artificial Intelligence, 2004

Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.
Proceedings of the International Conference on Artificial Intelligence, 2004

A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data.
Proceedings of the International Conference on Artificial Intelligence, 2004

An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk.
Proceedings of the Machine Learning: ECML 2004, 2004

On Efficient and Effective Association Rule Mining from XML Data.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

A User-Oriented Model-Driven Requirements Elicitation Process based on User Modeling.
Proceedings of the Computer Supported Activity Coordination, 2004

Comparison of discrimination methods for peptide classification in tandem mass spectrometry.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003
A Context-Aware User-Adaptive Supporting System for Goal-Oriented Requirements Elicitation Process.
Proceedings of the ICEIS 2003, 2003


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