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Ke Shang
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2020 – today
- 2024
- [j51]Tianyi Wu
, Ke Shang, Wei Dai
High-resolution cross-scale transformer: A deep learning model for bolt loosening detection based on monocular vision measurement. Eng. Appl. Artif. Intell. 133: 108574 (2024) - [j50]Feizhou Zhang, Ke Shang
Prediction of Parking Space Availability Using Improved MAT-LSTM Network. ISPRS Int. J. Geo Inf. 13(5): 151 (2024) - [j49]Saren Qimuge
An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures. J. Intell. Manuf. 35(6): 2887-2911 (2024) - [j48]Ke Shang
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. 28(1): 105-116 (2024) - [j47]Lie Meng Pang
Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(4): 1054-1068 (2024) - [j46]Weizhen He
A Deep Reinforcement Learning-Based Deception Asset Selection Algorithm in Differential Games. IEEE Trans. Inf. Forensics Secur. 19: 8353-8368 (2024) - [c63]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. CEC 2024: 1-9 - [c62]Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi:
Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. CEC 2024: 1-8 - [c61]Yang Nan
Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. GECCO 2024 - [c60]Yang Nan
Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. GECCO 2024 - [c59]Hisao Ishibuchi
New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. GECCO Companion 2024: 883-902 - [c58]Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi:
Learning Pareto Set for Multi-Objective Continuous Robot Control. IJCAI 2024: 4920-4928 - [c57]Kenneth Zhang
Hypervolume Gradient Subspace Approximation. PPSN (4) 2024: 20-35 - [c56]Jiahang Zhu
A wearable smart glove for tactile interaction. RobCE 2024: 160-164 - [c55]Ke Shang
Tactile Interaction System for Remote Teleoperation. RobCE 2024: 171-175 - [i15]Nan Gao, Jia Li, Huaibo Huang, Zhi Zeng, Ke Shang, Shuwu Zhang, Ran He:
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration. CoRR abs/2403.10098 (2024) - [i14]Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi:
Learning Pareto Set for Multi-Objective Continuous Robot Control. CoRR abs/2406.18924 (2024) - 2023
- [j45]Ke Shang
Intelligent Short-Term Multiscale Prediction of Parking Space Availability Using an Attention-Enhanced Temporal Convolutional Network. ISPRS Int. J. Geo Inf. 12(5): 208 (2023) - [j44]Weizhen He
Flipit Game Deception Strategy Selection Method Based on Deep Reinforcement Learning. Int. J. Intell. Syst. 2023: 1-15 (2023) - [j43]Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang:
Benchmarking large-scale subset selection in evolutionary multi-objective optimization. Inf. Sci. 622: 755-770 (2023) - [j42]Yulin Zhang, Ke Shang
Research on Traffic Flow Prediction at Intersections Based on DT-TCN-Attention. Sensors 23(15): 6683 (2023) - [j41]Lie Meng Pang
Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Cybern. 53(11): 7174-7186 (2023) - [j40]Tianye Shu
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(4): 1145-1153 (2023) - [j39]Ke Shang
HV-Net: Hypervolume Approximation Based on DeepSets. IEEE Trans. Evol. Comput. 27(4): 1154-1160 (2023) - [j38]Linjun He
Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 27(5): 1177-1191 (2023) - [j37]Yang Nan
An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. IEEE Trans. Evol. Comput. 27(6): 1690-1704 (2023) - [c54]Ke Shang, Weizhen He, Shuai Zhang, Zhen Zhang, Jichao Xie, Xin Shi:
Deep Reinforcement Learning-based Network Moving Target Defense in DPDK. ISPA/BDCloud/SocialCom/SustainCom 2023: 491-499 - [c53]Ke Shang, Xiaolei Li, Xiaoyuan Luo, Jiange Wang, Qianwen Xu
Multi-Objective Optimal Dispatching for Heterogeneous Multienergy Ship Microgrid. CDC 2023: 6576-6581 - [c52]Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang:
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. EMO 2023: 391-404 - [c51]Guangyan An
Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments. GECCO 2023: 633-641 - [c50]Hisao Ishibuchi
Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. GECCO 2023: 679-687 - [c49]Tianye Shu
Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. GECCO 2023: 740-748 - [c48]Han Zhu
STHV-Net: Hypervolume Approximation based on Set Transformer. GECCO 2023: 804-812 - [c47]Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi:
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. SSCI 2023: 433-440 - [c46]Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi:
Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets. SSCI 2023: 441-448 - [c45]Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi:
Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation. SSCI 2023: 449-456 - [c44]Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi:
Ensemble R2-based Hypervolume Contribution Approximation. SSCI 2023: 1503-1510 - 2022
- [j36]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]. IEEE Comput. Intell. Mag. 17(1): 86-101 (2022) - [j35]Dacheng Zhou
Cushion: A proactive resource provisioning method to mitigate SLO violations for containerized microservices. IET Commun. 16(17): 2105-2122 (2022) - [j34]Jianyu Ling, Rongyi Qian, Ke Shang
Research on the Dynamic Monitoring Technology of Road Subgrades with Time-Lapse Full-Coverage 3D Ground Penetrating Radar (GPR). Remote. Sens. 14(7): 1593 (2022) - [j33]Zihan Zhang
Exploring the Potential of Optical Polarization Remote Sensing for Oil Spill Detection: A Case Study of Deepwater Horizon. Remote. Sens. 14(10): 2398 (2022) - [j32]Ke Shang
Fast Segmentation and Dynamic Monitoring of Time-Lapse 3D GPR Data Based on U-Net. Remote. Sens. 14(17): 4190 (2022) - [j31]Ke Shang
Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions. IEEE Trans. Evol. Comput. 26(2): 349-363 (2022) - [j30]Weiyu Chen
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(4): 750-764 (2022) - [j29]Lie Meng Pang
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(6): 1609-1616 (2022) - [c43]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Difficulties in fair performance comparison of multiobjective evolutionary algorithms. GECCO Companion 2022: 937-957 - [c42]Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi:
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. PPSN (2) 2022: 110-123 - [c41]Ke Shang, Weiduo Liao
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. PPSN (1) 2022: 414-426 - [i13]Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang:
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR abs/2201.06700 (2022) - [i12]Ke Shang, Tianye Shu, Hisao Ishibuchi:
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. CoRR abs/2201.06707 (2022) - [i11]Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi:
HV-Net: Hypervolume Approximation based on DeepSets. CoRR abs/2203.02185 (2022) - [i10]Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan:
Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization. CoRR abs/2209.03100 (2022) - 2021
- [j28]Yunjun Yao
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. 13(5): 902 (2021) - [j27]Lu Wang, Yuhu Zhang, Yunjun Yao, Zhiqiang Xiao, Ke Shang
GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets. Remote. Sens. 13(6): 1054 (2021) - [j26]Ruiyang Yu
Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018. Remote. Sens. 13(15): 2993 (2021) - [j25]Lilin Zhang
ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation. Remote. Sens. 13(18): 3703 (2021) - [j24]Ke Shang
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(1): 1-20 (2021) - [j23]Yunjun Yao
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. 59(5): 4105-4119 (2021) - [c40]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. CEC 2021: 1486-1494 - [c39]Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. CEC 2021: 1912-1920 - [c38]Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. CEC 2021: 2468-2475 - [c37]Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang:
Improving the Efficiency of R2HCA-EMOA. EMO 2021: 115-125 - [c36]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. EMO 2021: 164-177 - [c35]Ke Shang, Hisao Ishibuchi, Yang Nan:
Distance-based subset selection revisited. GECCO 2021: 439-447 - [c34]Ke Shang, Hisao Ishibuchi, Weiyu Chen:
Greedy approximated hypervolume subset selection for many-objective optimization. GECCO 2021: 448-456 - [c33]Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. GECCO 2021: 485-492 - [c32]Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan:
Reference Point Specification for Greedy Hypervolume Subset Selection. SMC 2021: 168-175 - [c31]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. SMC 2021: 468-475 - [c30]Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen:
Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization. SMC 2021: 484-491 - [c29]Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He:
Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. SMC 2021: 751-757 - [c28]Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization. SSCI 2021: 1-8 - [i9]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR abs/2102.00941 (2021) - [i8]Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao:
Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions. CoRR abs/2104.09736 (2021) - [i7]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. CoRR abs/2108.08453 (2021) - 2020
- [j22]Zhigang Ren
Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization. IEEE Access 8: 41913-41928 (2020) - [j21]Yang Nan
Reverse Strategy for Non-Dominated Archiving. IEEE Access 8: 119458-119469 (2020) - [j20]Lie Meng Pang
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks. IEEE Access 8: 163197-163208 (2020) - [j19]Lie Meng Pang
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems. IEEE Access 8: 190240-190250 (2020) - [j18]Linjun He
Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms. Appl. Soft Comput. 92: 106316 (2020) - [j17]Ke Shang, Felix T. S. Chan, Stephen Karungaru, Kenji Terada, Zuren Feng, Liangjun Ke:
Two-Stage Robust Optimization for the Orienteering Problem with Stochastic Weights. Complex. 2020: 5649821:1-5649821:15 (2020) - [j16]Ke Shang
Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe. Remote. Sens. 12(4): 687 (2020) - [j15]Junming Yang, Yunjun Yao
A Robust Method for Generating High-Spatiotemporal-Resolution Surface Reflectance by Fusing MODIS and Landsat Data. Remote. Sens. 12(14): 2312 (2020) - [j14]Xiaozheng Guo, Yunjun Yao
Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products. Remote. Sens. 12(17): 2763 (2020) - [j13]Xiangyi Bei
Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data. Sensors 20(10): 2811 (2020) - [j12]Xiaowei Chen, Yunjun Yao
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products. Sensors 20(17): 4773 (2020) - [j11]Ke Shang
R2-Based Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. 24(1): 185-192 (2020) - [j10]Ke Shang
Erratum to "R2-Based Hypervolume Contribution Approximation". IEEE Trans. Evol. Comput. 24(4): 807 (2020) - [j9]Ke Shang
A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 24(5): 839-852 (2020) - [c27]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms. CEC 2020: 1-8 - [c26]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. CEC 2020: 1-8 - [c25]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. ECAI 2020: 283-290 - [c24]Yang Nan, Ke Shang, Hisao Ishibuchi:
What is a good direction vector set for the R2-based hypervolume contribution approximation. GECCO 2020: 524-532 - [c23]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Proposal of a Realistic Many-Objective Test Suite. PPSN (1) 2020: 201-214 - [c22]Ke Shang, Hisao Ishibuchi, Weiyu Chen, Lukás Adam:
Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions. PPSN (2) 2020: 257-270 - [c21]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Algorithm Configurations of MOEA/D with an Unbounded External Archive. SMC 2020: 1087-1094 - [c20]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms. SMC 2020: 1095-1102 - [c19]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization. SMC 2020: 1103-1110 - [c18]Weiduo Liao
Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. SMC 2020: 1524-1531 - [c17]Ke Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen:
Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants. SSCI 2020: 157-164 - [c16]Longcan Chen, Ke Shang, Hisao Ishibuchi:
Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems. SSCI 2020: 2461-2468 - [i6]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms. CoRR abs/2003.09917 (2020) - [i5]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization. CoRR abs/2006.08156 (2020) - [i4]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. CoRR abs/2007.02050 (2020) - [i3]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Algorithm Configurations of MOEA/D with an Unbounded External Archive. CoRR abs/2007.13352 (2020) - [i2]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks. CoRR abs/2008.07094 (2020) - [i1]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets. CoRR abs/2012.07319 (2020)
2010 – 2019
- 2019
- [j8]Xiao Chen, Xin Jin, Ke Shang, Zhijing Zhang:
Entropy-Based Method to Evaluate Contact-Pressure Distribution for Assembly-Accuracy Stability Prediction. Entropy 21(3): 322 (2019) - [j7]Xiangyi Bei
Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets. Remote. Sens. 11(14): 1633 (2019) - [j6]Jia Xu, Yunjun Yao
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. 11(15): 1787 (2019) - [j5]Lilin Zhang
Assessing the Remotely Sensed Evaporative Drought Index for Drought Monitoring over Northeast China. Remote. Sens. 11(17): 1960 (2019) - [c15]Hisao Ishibuchi, Yiming Peng, Ke Shang:
A Scalable Multimodal Multiobjective Test Problem. CEC 2019: 310-317 - [c14]Kanzhen Wan, Cheng He
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. CEC 2019: 2018-2025 - [c13]Hisao Ishibuchi, Linjun He
Regular Pareto Front Shape is not Realistic. CEC 2019: 2034-2041 - [c12]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms. SSCI 2019: 1826-1833 - [c11]Linjun He, Yang Nan, Ke Shang, Hisao Ishibuchi:
A Study of the Naïve Objective Space Normalization Method in MOEA/D. SSCI 2019: 1834-1840 - [c10]Weiduo Liao
Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA. SSCI 2019: 1841-1848 - [c9]Yiming Peng, Hisao Ishibuchi, Ke Shang:
Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies. SSCI 2019: 1865-1872 - [c8]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm. SSCI 2019: 1889-1897 - 2018
- [c7]Ke Shang, Hisao Ishibuchi, Min-Ling Zhang
A new R2 indicator for better hypervolume approximation. GECCO 2018: 745-752 - [c6]Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang:
Weight vector grid with new archive update mechanism for multi-objective optimization. GECCO (Companion) 2018: 1906-1909 - [c5]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima
A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems. PPSN (1) 2018: 262-273 - [c4]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima
Improving 1by1EA to Handle Various Shapes of Pareto Fronts. PPSN (1) 2018: 311-322 - 2016
- [j4]Ke Shang, Zuren Feng, Liangjun Ke, Felix T. S. Chan
Comprehensive Pareto Efficiency in robust counterpart optimization. Comput. Chem. Eng. 94: 75-91 (2016) - [j3]Yansheng Li
Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 13(2): 157-161 (2016) - 2015
- [j2]Xiao Sun, Ke Shang, Delie Ming, Jinwen Tian, Jiayi Ma
A Biologically-Inspired Framework for Contour Detection Using Superpixel-Based Candidates and Hierarchical Visual Cues. Sensors 15(10): 26654-26674 (2015) - [c3]Ke Shang, Liangjun Ke, Zuren Feng, Stephen Karungaru:
An Event-Driven Based Multiple Scenario Approach for Dynamic and Uncertain UAV Mission Planning. ICSI (2) 2015: 308-316 - 2014
- [c2]Ke Shang, Stephen Karungaru, Zuren Feng, Liangjun Ke, Kenji Terada:
A GA-ACO hybrid algorithm for the multi-UAV mission planning problem. ISCIT 2014: 243-248 - 2013
- [j1]Liangjun Ke, Zongben Xu, Zuren Feng, Ke Shang, Xueming Qian:
Proportion-based robust optimization and team orienteering problem with interval data. Eur. J. Oper. Res. 226(1): 19-31 (2013) - 2012
- [c1]Changcai Yang, Xin-Yi Zheng, Jinwen Tian, Ke Shang, Xin Tian, Wei Hao:
Iterative data adaptive anisotropic image filtering. ICMLC 2012: 1169-1174
Coauthor Index
[j48] [j47] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [i14] [j43] [j41] [j40] [j39] [j38] [j37] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [j36] [j31] [j30] [j29] [c43] [c42] [c41] [i13] [i12] [i11] [i10] [j24] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i9] [i8] [i7] [j21] [j20] [j19] [j18] [j11] [j10] [j9] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i6] [i5] [i4] [i3] [i2] [i1] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4]
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