# Zhifeng Hao

According to our database

Collaborative distances:

^{1}, Zhifeng Hao authored at least 148 papers between 2004 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Multiple-Instance Ordinal Regression.

IEEE Trans. Neural Netw. Learning Syst., 2018

Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach.

IEEE Trans. Neural Netw. Learning Syst., 2018

Evolutionary programming with a simulated-conformist mutation strategy.

Soft Comput., 2018

Running-time analysis of evolutionary programming based on Lebesgue measure of searching space.

Neural Computing and Applications, 2018

Alpha matting with image pixel correlation.

Int. J. Machine Learning & Cybernetics, 2018

A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems.

Knowl.-Based Syst., 2018

Synthetic fluid details for the vorticity loss in advection.

Journal of Visualization and Computer Animation, 2018

A multi-task-based classification framework for multi-instance distance metric learning.

Neurocomputing, 2018

Maximizing Algebraic Connectivity via Minimum Degree and Maximum Distance.

IEEE Access, 2018

HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams.

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning.

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

SELF: Structural Equational Likelihood Framework for Causal Discovery.

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Understanding Social Causalities Behind Human Action Sequences.

IEEE Trans. Neural Netw. Learning Syst., 2017

A Sphere-Description-Based Approach for Multiple-Instance Learning.

IEEE Trans. Pattern Anal. Mach. Intell., 2017

A multiple-instance stream learning framework for adaptive document categorization.

Knowl.-Based Syst., 2017

Running-time Analysis of Ant System Algorithms with Upper-bound Comparison.

IJSIR, 2017

Recognizing activities from partially observed streams using posterior regularized conditional random fields.

Neurocomputing, 2017

SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee.

CoRR, 2017

Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation.

IEEE Comp. Int. Mag., 2017

A Construction Graph-Based Evolutionary Algorithm for Traveling Salesman Problem.

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data.

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

A Robust Noise Resistant Algorithm for POI Identification from Flickr Data.

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem.

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

An Approach for Inferring Causal Directions from Multi-Dimensional Networks.

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog.

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Evolutionary algorithm with convergence speed controller for automated software test data generation problem.

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering.

IEEE Trans. Neural Netw. Learning Syst., 2016

Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction.

Soft Comput., 2016

A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation.

Inf. Sci., 2016

A unified multi-label classification framework with supervised low-dimensional embedding.

Neurocomputing, 2016

Optimal Linear Aggregate Query Processing under Approximate Differential Privacy.

CoRR, 2016

First hitting time analysis of continuous evolutionary algorithms based on average gain.

Cluster Computing, 2016

Multi-Domain Manifold Learning for Drug-Target Interaction Prediction.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Convex Optimization for Linear Query Processing under Approximate Differential Privacy.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A human-machine cooperative approach for combinatorial optimization problem.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Human-computer cooperative brain storm optimization algorithm for the two-echelon vehicle routing problem.

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems.

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory.

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog.

Proceedings of the Web Technologies and Applications, 2016

2015

An improved clustering ensemble method based link analysis.

World Wide Web, 2015

Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.

ACM Trans. Database Syst., 2015

Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search.

Soft Comput., 2015

A robust one-class transfer learning method with uncertain data.

Knowl. Inf. Syst., 2015

Enhanced soft subspace clustering through hybrid dissimilarity.

Journal of Intelligent and Fuzzy Systems, 2015

Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.

CoRR, 2015

Deterministic identification of specific individuals from GWAS results.

Bioinformatics, 2015

Causal discovery on high dimensional data.

Appl. Intell., 2015

Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph.

Proceedings of the Web Technologies and Applications, 2015

A Semi-supervised Solution for Cold Start Issue on Recommender Systems.

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

An Efficient Approach for Outlier Detection with Imperfect Data Labels.

IEEE Trans. Knowl. Data Eng., 2014

Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams.

IEEE Trans. Knowl. Data Eng., 2014

A Similarity-Based Classification Framework for Multiple-Instance Learning.

IEEE Trans. Cybernetics, 2014

An evolutionary algorithm based on constraint set partitioning for nurse rostering problems.

Neural Computing and Applications, 2014

An efficient orientation distance-based discriminative feature extraction method for multi-classification.

Knowl. Inf. Syst., 2014

A Practical Graph Isomorphism Algorithm with Vertex Canonical Labeling.

JCP, 2014

Graph-based semi-supervised learning by mixed label propagation with a soft constraint.

Inf. Sci., 2014

A general framework of hierarchical clustering and its applications.

Inf. Sci., 2014

BILGO: Bilateral greedy optimization for large scale semidefinite programming.

Neurocomputing, 2014

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.

CoRR, 2014

A K-Farthest-Neighbor-based approach for support vector data description.

Appl. Intell., 2014

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A Causal Model for Disease Pathway Discovery.

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Latent semantic KNN algorithm for multi-label learning.

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Supervised low dimensional embedding for multi-label classification.

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation.

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Discovering Many-to-One Causality in Software Project Risk Analysis.

Proceedings of the 2014 Ninth International Conference on P2P, 2014

2013

A Linear Support Higher-Order Tensor Machine for Classification.

IEEE Trans. Image Processing, 2013

Causal gene identification using combinatorial V-structure search.

Neural Networks, 2013

An adaptive class pairwise dimensionality reduction algorithm.

Neural Computing and Applications, 2013

A primal method for multiple kernel learning.

Neural Computing and Applications, 2013

Product named entity recognition for Chinese query questions based on a skip-chain CRF model.

Neural Computing and Applications, 2013

SVDD-based outlier detection on uncertain data.

Knowl. Inf. Syst., 2013

Multi-objective Differential Evolution Algorithm based on Adaptive Mutation and Partition Selection.

JCP, 2013

Low-rank quadratic semidefinite programming.

Neurocomputing, 2013

Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps.

Automatica, 2013

Regularized Gaussian Mixture Model based discretization for gene expression data association mining.

Appl. Intell., 2013

MODS: Multiple One-class Data Streams Learning from Homogeneous Data.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Robust Textual Data Streams Mining Based on Continuous Transfer Learning.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

One-Class Transfer Learning with Uncertain Data.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

An improved local adaptive clustering ensemble based on link analysis.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

SADA: A General Framework to Support Robust Causation Discovery.

Proceedings of the 30th International Conference on Machine Learning, 2013

A Hybrid Approach for Large Scale Causality Discovery.

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Chinese Sentiment Classification Based on the Sentiment Drop Point.

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2012

Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy.

PVLDB, 2012

Local Community Detection Using Link Similarity.

J. Comput. Sci. Technol., 2012

Example-based learning particle swarm optimization for continuous optimization.

Inf. Sci., 2012

Gaussian kernel-based fuzzy inference systems for high dimensional regression.

Neurocomputing, 2012

Convergence time analysis of ant system algorithm.

IJMIC, 2012

Multilevel thresholding for image segmentation through Bayesian particle swarm optimisation.

IJMIC, 2012

Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy

CoRR, 2012

Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy

CoRR, 2012

Multi-objective Evolutionary Algorithm Based on Layer Strategy.

Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Alpha Matting Using Artificial Immune Network.

Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Gaussian process learning for image classification based on low-level features.

Proceedings of the Eighth International Conference on Natural Computation, 2012

An improved link analysis based clustering ensemble method.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

A Memetic Algorithm Applied to Allocation Problem of the Concrete Mixing Plants.

Proceedings of the Information Computing and Applications - Third International Conference, 2012

Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks.

Proceedings of the 21st International Conference on Computer Communications and Networks, 2012

Word similarity-based Schema Matching and its application in Chinese mobile phone information integration.

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

A novel auto-parameters selection process for image segmentation.

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data.

IEEE Trans. Knowl. Data Eng., 2011

BASSUM: A Bayesian semi-supervised method for classification feature selection.

Pattern Recognition, 2011

A new hybrid method for gene selection.

Pattern Anal. Appl., 2011

Exact algorithm and heuristic for the Closest String Problem.

Computers & OR, 2011

Similarity-Based Approach for Positive and Unlabeled Learning.

Proceedings of the IJCAI 2011, 2011

Hybrid Swarm-Based Optimization Algorithm of GA & VNS for Nurse Scheduling Problem.

Proceedings of the Information Computing and Applications, 2011

The 0/1 Multi-objective Knapsack Problem Based on Regional Search.

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010

Robust least squares support vector machine based on recursive outlier elimination.

Soft Comput., 2010

Kernel based gene expression pattern discovery and its application on cancer classification.

Neurocomputing, 2010

Multi-agent system for customer relationship management with SVMs tool.

IJIIDS, 2010

Runtime Analysis of (1+1) Evolutionary Algorithm for a TSP Instance.

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

An Intelligence Model with Max-Min Strategy for Constrained Evolutionary Optimization.

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation.

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

A Relation-Based Model for Convergence Analysis of Evolutionary Algorithm.

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Evolutionary Programming Improved by an Individual Random Difference Mutation.

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

An evolutionary algorithm with sorted race mechanism for global optimization.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009

A Pheromone-Rate-Based Analysis on the Convergence Time of ACO Algorithm.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

An efficient gene selection algorithm based on mutual information.

Neurocomputing, 2009

Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.

Proceedings of the ICDM Workshops 2009, 2009

Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification.

IEEE Trans. Neural Networks, 2008

A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression.

Neurocomputing, 2008

Evolutionary support center machine.

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Nesting Algorithm for Multi-Classification Problems.

Soft Comput., 2007

An Improved Fuzzy Neural Network for Ultrasonic Motors Control.

Proceedings of the Advances in Neural Networks, 2007

A Novel Gene Ranking Algorithm Based on Random Subspace Method.

Proceedings of the International Joint Conference on Neural Networks, 2007

The Solution of Linear Programming with LR-Fuzzy Numbers in Objective Function.

Proceedings of the Fuzzy Information and Engineering, 2007

An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail.

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm.

Proceedings of the Artificial Neural Networks, 2007

Successive Overrelaxation for Mamdani Fuzzy Systems.

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

An Accelerated SMO-Type Online Learning Algorithm.

Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006

A Time Complexity Analysis of ACO for Linear Functions.

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem.

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification.

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control.

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.

A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine.

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

A Fast Data Preprocessing Procedure for Support Vector Regression.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression.

Proceedings of the Neural Information Processing, 13th International Conference, 2006

PSO with Improved Strategy and Topology for Job Shop Scheduling.

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

A Novel ACO Algorithm with Adaptive Parameter.

Proceedings of the Computational Intelligence and Bioinformatics, 2006

ACO for Continuous Optimization Based on Discrete Encoding.

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005

Fuzzy Comprehensive Evaluation of E-commerce and Process Improvement.

Proceedings of the Internet and Network Economics, First International Workshop, 2005

Twi-Map Support Vector Machine for Multi-classification Problems.

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Equivalence of Classification and Regression Under Support Vector Machine Theory.

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems.

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004

Online LS-SVM Learning for Classification Problems Based on Incremental Chunk.

Proceedings of the Advances in Neural Networks, 2004