Jianyong Sun

According to our database1, Jianyong Sun authored at least 72 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
PPLS/D: Parallel Pareto Local Search Based on Decomposition.
IEEE Trans. Cybern., 2020

MSIsensor-pro: Fast, Accurate, and Matched-normal-sample-free Detection of Microsatellite Instability.
Genom. Proteom. Bioinform., 2020

Graph Neural Network Encoding for Community Detection in Attribute Networks.
CoRR, 2020

Learning to be Global Optimizer.
CoRR, 2020

On Hyper-parameter Tuning for Stochastic Optimization Algorithms.
CoRR, 2020

Adaptive Structural Hyper-Parameter Configuration by Q-Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.
IEEE Trans. Evol. Comput., 2019

Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2019

A new learning-based adaptive multi-objective evolutionary algorithm.
Swarm Evol. Comput., 2019

Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm.
Swarm Evol. Comput., 2019

Balancing exploration and exploitation in multiobjective evolutionary optimization.
Inf. Sci., 2019

Gaussian Belief Propagation for Solving Network Utility Maximization with Delivery Contracts.
Entropy, 2019

Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition.
CoRR, 2019

Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem.
CoRR, 2019

A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction.
IEEE Access, 2019

Feature Fusion Attention Visual Question Answering.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

MOEA/D with Two Types of Weight Vectors for Handling Constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An Adaptive Parameter Tuning Strategy for Many-objective Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Clustering-Based Multiobjective Evolutionary Algorithm for Balancing Exploration and Exploitation.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model.
IEEE Trans. Neural Networks Learn. Syst., 2018

Three-Dimensional Visual Patient Based on Electronic Medical Diagnostic Records.
IEEE J. Biomed. Health Informatics, 2018

MOEA/D with chain-based random local search for sparse optimization.
Soft Comput., 2018

A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems.
Knowl. Based Syst., 2018

A decomposition-based archiving approach for multi-objective evolutionary optimization.
Inf. Sci., 2018

From Adaptive Kernel Density Estimation to Sparse Mixture Models.
CoRR, 2018

Reference-Inspired Many-Objective Evolutionary Algorithm Based on Decomposition.
Comput. J., 2018

Image Reconstruction with Smoothed Mixtures of Regressions.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Balancing exploration and exploitation in multiobjective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Parallel pareto local search revisited: first experimental results on bi-objective UBQP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
A New Steady-State MOEA/D for Sparse Optimization.
Proceedings of the Advances in Computational Intelligence Systems, 2017

A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization.
Proceedings of the Advances in Computational Intelligence Systems, 2017

A new learning based dynamic multi-objective optimisation evolutionary algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A multi-cycled sequential memetic computing approach for constrained optimisation.
Inf. Sci., 2016

Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm.
CoRR, 2016

2015
An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods.
IEEE Trans. Evol. Comput., 2015

Estimates on compressed neural networks regression.
Neural Networks, 2015

On Accelerated Gradient Approximation for Least Square Regression with L1-Regularization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Continuous ultrasound speckle tracking with Gaussian mixtures.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem.
IEEE Trans. Cybern., 2014

MOEA/D with Adaptive Weight Adjustment.
Evol. Comput., 2014

Unsupervised robust Bayesian feature selection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Canonical Correlation Analysis on Data With Censoring and Error Information.
IEEE Trans. Neural Networks Learn. Syst., 2013

An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation.
Evol. Comput., 2013

2012
Robust Bayesian Clustering for Replicated Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

A comparative study of novel robust clustering algorithms.
Intell. Data Anal., 2012

2011
Grid-based implementation of XDS-I as part of image-enabled EHR for regional healthcare in Shanghai.
Int. J. Comput. Assist. Radiol. Surg., 2011

Two-stage EDA-based approach for all optical WDM mesh network survivability under SRLG constraints.
Appl. Soft Comput., 2011

Robust Dirichlet Process mixtures.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
A fast algorithm for robust mixtures in the presence of measurement errors.
IEEE Trans. Neural Networks, 2010

Robust mixture clustering using Pearson type VII distribution.
Pattern Recognit. Lett., 2010

Robust mixture modeling using the Pearson type VII distribution.
Proceedings of the International Joint Conference on Neural Networks, 2010

A novel memetic algorithm for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
An Evolutionary Approach for Survivable Network under SRLG Constraints.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design.
Int. J. Comput. Intell. Appl., 2008

2007
Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints.
IEEE Trans. Syst. Man Cybern. Part B, 2007

DICOM Image Secure Communications With Internet Protocols IPv6 and IPv4.
IEEE Trans. Inf. Technol. Biomed., 2007

Combinations of estimation of distribution algorithms and other techniques.
Int. J. Autom. Comput., 2007

Robust Visual Mining of Data with Error Information.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Robust mixtures in the presence of measurement errors.
Proceedings of the Machine Learning, 2007

2006
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets.
Proceedings of the Discovery Science, 9th International Conference, 2006

Iterated Local Search with Guided Mutation.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem.
Proceedings of the Towards a New Evolutionary Computation, 2006

2005
An evolutionary algorithm with guided mutation for the maximum clique problem.
IEEE Trans. Evol. Comput., 2005

DE/EDA: A new evolutionary algorithm for global optimization.
Inf. Sci., 2005

Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

2003
User Adaptation for Online Sketchy Shape Recognition.
Proceedings of the Graphics Recognition, 2003

2002
On-Line Graphics Recognition.
Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, 2002


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