Ke Shang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization.
IEEE Trans. Evol. Comput., August, 2024

An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures.
J. Intell. Manuf., August, 2024

Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation.
IEEE Trans. Evol. Comput., February, 2024

A Deep Reinforcement Learning-Based Deception Asset Selection Algorithm in Differential Games.
IEEE Trans. Inf. Forensics Secur., 2024

Prediction of Parking Space Availability Using Improved MAT-LSTM Network.
ISPRS Int. J. Geo Inf., 2024

High-resolution cross-scale transformer: A deep learning model for bolt loosening detection based on monocular vision measurement.
Eng. Appl. Artif. Intell., 2024

DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration.
CoRR, 2024

Spatially embedded transformer: A point cloud deep learning model for aero-engine coaxiality prediction based on virtual measurement.
Adv. Eng. Informatics, 2024

A wearable smart glove for tactile interaction.
Proceedings of the 2024 4th International Conference on Robotics and Control Engineering, 2024

Tactile Interaction System for Remote Teleoperation.
Proceedings of the 2024 4th International Conference on Robotics and Control Engineering, 2024

Hypervolume Gradient Subspace Approximation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Learning Pareto Set for Multi-Objective Continuous Robot Control.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Gradient-Guided Local Search for IGD/IGDPlus Subset Selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
An Improved Local Search Method for Large-Scale Hypervolume Subset Selection.
IEEE Trans. Evol. Comput., December, 2023

Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Cybern., November, 2023

Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., October, 2023

Research on Traffic Flow Prediction at Intersections Based on DT-TCN-Attention.
Sensors, August, 2023

Benchmarking large-scale subset selection in evolutionary multi-objective optimization.
Inf. Sci., April, 2023

Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023

HV-Net: Hypervolume Approximation Based on DeepSets.
IEEE Trans. Evol. Comput., 2023

Flipit Game Deception Strategy Selection Method Based on Deep Reinforcement Learning.
Int. J. Intell. Syst., 2023

Intelligent Short-Term Multiscale Prediction of Parking Space Availability Using an Attention-Enhanced Temporal Convolutional Network.
ISPRS Int. J. Geo Inf., 2023

Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Ensemble R2-based Hypervolume Contribution Approximation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

STHV-Net: Hypervolume Approximation based on Set Transformer.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Multi-Objective Optimal Dispatching for Heterogeneous Multienergy Ship Microgrid.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Deep Reinforcement Learning-based Network Moving Target Defense in DPDK.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions.
IEEE Trans. Evol. Comput., 2022

Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

Exploring the Potential of Optical Polarization Remote Sensing for Oil Spill Detection: A Case Study of Deepwater Horizon.
Remote. Sens., 2022

Fast Segmentation and Dynamic Monitoring of Time-Lapse 3D GPR Data Based on U-Net.
Remote. Sens., 2022

Research on the Dynamic Monitoring Technology of Road Subgrades with Time-Lapse Full-Coverage 3D Ground Penetrating Radar (GPR).
Remote. Sens., 2022

Cushion: A proactive resource provisioning method to mitigate SLO violations for containerized microservices.
IET Commun., 2022

Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization.
CoRR, 2022

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.
CoRR, 2022

Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier].
IEEE Comput. Intell. Mag., 2022

Direction Vector Selection for R2-Based Hypervolume Contribution Approximation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

HVC-Net: Deep Learning Based Hypervolume Contribution Approximation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Difficulties in fair performance comparison of multiobjective evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
A Novel NIR-Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China.
IEEE Trans. Geosci. Remote. Sens., 2021

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation.
Remote. Sens., 2021

Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018.
Remote. Sens., 2021

Simplified Priestley-Taylor Model to Estimate Land-Surface Latent Heat of Evapotranspiration from Incident Shortwave Radiation, Satellite Vegetation Index, and Air Relative Humidity.
Remote. Sens., 2021

GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets.
Remote. Sens., 2021

Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.
CoRR, 2021

Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Reference Point Specification for Greedy Hypervolume Subset Selection.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Distance-based subset selection revisited.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Greedy approximated hypervolume subset selection for many-objective optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Improving the Efficiency of R2HCA-EMOA.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Erratum to "R2-Based Hypervolume Contribution Approximation".
IEEE Trans. Evol. Comput., 2020

R2-Based Hypervolume Contribution Approximation.
IEEE Trans. Evol. Comput., 2020

A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2020

ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products.
Sensors, 2020

Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data.
Sensors, 2020

A Robust Method for Generating High-Spatiotemporal-Resolution Surface Reflectance by Fusing MODIS and Landsat Data.
Remote. Sens., 2020

Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe.
Remote. Sens., 2020

Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products.
Remote. Sens., 2020

Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets.
CoRR, 2020

Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization.
CoRR, 2020

Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms.
CoRR, 2020

Two-Stage Robust Optimization for the Orienteering Problem with Stochastic Weights.
Complex., 2020

Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms.
Appl. Soft Comput., 2020

Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization.
IEEE Access, 2020

NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems.
IEEE Access, 2020

Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks.
IEEE Access, 2020

Reverse Strategy for Non-Dominated Archiving.
IEEE Access, 2020

Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Algorithm Configurations of MOEA/D with an Unbounded External Archive.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Proposal of a Realistic Many-Objective Test Suite.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

What is a good direction vector set for the R2-based hypervolume contribution approximation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Assessing the Remotely Sensed Evaporative Drought Index for Drought Monitoring over Northeast China.
Remote. Sens., 2019

Integrating Latent Heat Flux Products from MODIS and Landsat Data Using Multi-Resolution Kalman Filter Method in the Midstream of Heihe River Basin of Northwest China.
Remote. Sens., 2019

Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets.
Remote. Sens., 2019

Entropy-Based Method to Evaluate Contact-Pressure Distribution for Assembly-Accuracy Stability Prediction.
Entropy, 2019

A Study of the Naïve Objective Space Normalization Method in MOEA/D.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Scalable Multimodal Multiobjective Test Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Regular Pareto Front Shape is not Realistic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Improving 1by1EA to Handle Various Shapes of Pareto Fronts.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A new R2 indicator for better hypervolume approximation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Weight vector grid with new archive update mechanism for multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2016
Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2016

Comprehensive Pareto Efficiency in robust counterpart optimization.
Comput. Chem. Eng., 2016

2015
A Biologically-Inspired Framework for Contour Detection Using Superpixel-Based Candidates and Hierarchical Visual Cues.
Sensors, 2015

An Event-Driven Based Multiple Scenario Approach for Dynamic and Uncertain UAV Mission Planning.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

2014
A GA-ACO hybrid algorithm for the multi-UAV mission planning problem.
Proceedings of the 14th International Symposium on Communications and Information Technologies, 2014

2013
Proportion-based robust optimization and team orienteering problem with interval data.
Eur. J. Oper. Res., 2013

2012
Iterative data adaptive anisotropic image filtering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012


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