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ORCIDShengxiang Yang
Person information
- affiliation: De Montfort University, School of Computer Science and Informatics, Leicester, UK
- affiliation (2010 - 2012): Brunel University, Department of Information Systems and Computing, Uxbridge, UK
- affiliation (2000 - 2010): University of Leicester, Department of Computer Science, UK
- affiliation (1999 - 2000): King's College London, Department of Computer Science, UK
- affiliation (PhD 1999): Northeastern University, Institute of Systems Engineering, Shenyang, China
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2020 – today
- 2023
[j173]Conor Fahy
, Shengxiang Yang, Mario Gongora:
Scarcity of Labels in Non-Stationary Data Streams: A Survey. ACM Comput. Surv. 55(2): 40:1-40:39 (2023)- [j172]Shouyong Jiang, Juan Zou, Shengxiang Yang, Xin Yao:
Evolutionary Dynamic Multi-objective Optimisation: A Survey. ACM Comput. Surv. 55(4): 76:1-76:47 (2023) - [j171]Jialiang Zhang, Juan Zou, Shengxiang Yang, Jinhua Zheng:
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization. Inf. Sci. 619: 908-929 (2023) - [j170]Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang:
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts. Inf. Sci. 626: 658-693 (2023) - [j169]Yingjie Zou, Yuan Liu, Juan Zou, Shengxiang Yang, Jinhua Zheng:
An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization. Inf. Sci. 631: 449-467 (2023) - [j168]Juan Zou, Jian Luo, Yuan Liu, Shengxiang Yang, Jinhua Zheng:
A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation. Inf. Sci. 634: 227-243 (2023) - [j167]Likai Wang, Qingyang Zhang, Xiangyu He, Shengxiang Yang, Shouyong Jiang, Yongquan Dong:
Biological survival optimization algorithm with its engineering and neural network applications. Soft Comput. 27(10): 6437-6463 (2023) - [j166]Kaixi Yang, Jinhua Zheng, Juan Zou, Fan Yu, Shengxiang Yang:
A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization. Swarm Evol. Comput. 77: 101247 (2023) - [j165]Jinhua Zheng, Zhenfang Du, Juan Zou, Shengxiang Yang:
A weight vector generation method based on normal distribution for preference-based multi-objective optimization. Swarm Evol. Comput. 77: 101250 (2023) - [j164]Li Yan, Wenlong Qi, A. K. Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang:
Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm Evol. Comput. 77: 101254 (2023) - [j163]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4(2): 282-291 (2023) - [j162]Yue Xu, Dechang Pi, Shengxiang Yang, Yang Chen, Shuo Qin, Enrico Zio:
An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty. IEEE Trans Autom. Sci. Eng. 20(1): 271-284 (2023) - [j161]Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou:
Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance. IEEE Trans. Cybern. 53(4): 2572-2585 (2023) - [j160]Conor Fahy, Shengxiang Yang, Mario Gongora:
Classification in Dynamic Data Streams With a Scarcity of Labels. IEEE Trans. Knowl. Data Eng. 35(4): 3512-3524 (2023) - [i12]Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang:
Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation. CoRR abs/2305.12752 (2023) - 2022
- [j159]Xiaojun Zhou, Yuan Gao, Shengxiang Yang, Chunhua Yang, Jiajia Zhou:
A multiobjective state transition algorithm based on modified decomposition method. Appl. Soft Comput. 119: 108553 (2022) - [j158]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities. Appl. Soft Comput. 123: 108983 (2022) - [j157]Yinan Guo, Jiawei Feng, Botao Jiao, Ning Cui, Shengxiang Yang, Zekuan Yu:
A dual evolutionary bagging for class imbalance learning. Expert Syst. Appl. 206: 117843 (2022) - [j156]Biao Xu, Dunwei Gong, Yong Zhang, Shengxiang Yang, Ling Wang, Zhun Fan, Yonggang Zhang:
Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables. Inf. Sci. 607: 278-296 (2022) - [j155]Sheng Qi, Juan Zou, Shengxiang Yang, Yaochu Jin, Jinhua Zheng, Xu Yang:
A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization. Inf. Sci. 609: 1601-1620 (2022) - [j154]Qingyang Zhang, Xiangyu He, Shengxiang Yang, Yongquan Dong, Hui Song, Shouyong Jiang:
Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm. Inf. Sci. 610: 868-886 (2022) - [j153]Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin:
A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. 613: 591-608 (2022) - [j152]Jie Chen, Shengxiang Yang, Zhu Wang:
Multi-view representation learning for data stream clustering. Inf. Sci. 613: 731-746 (2022) - [j151]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello:
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. 60(4): 1159-1175 (2022) - [j150]Zhenghui Zhang, Juan Zou, Shengxiang Yang, Jinhua Zheng, Dunwei Gong, Tingrui Pei:
A reconstruction method for cross-cut shredded documents based on the extreme learning machine algorithm. Soft Comput. 26(22): 12851-12862 (2022) - [j149]Huanrong Tang, Fan Yu, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A constrained multi-objective evolutionary strategy based on population state detection. Swarm Evol. Comput. 68: 100978 (2022) - [j148]Xin Lin, Wenjian Luo, Peilan Xu, Yingying Qiao, Shengxiang Yang:
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization. Swarm Evol. Comput. 68: 101011 (2022) - [j147]Jinhua Zheng, Zeyu Zhang, Juan Zou, Shengxiang Yang, Junwei Ou, Yaru Hu:
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution. Swarm Evol. Comput. 69: 100987 (2022) - [j146]Ying Chen, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng, Weixiong Huang:
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization. Swarm Evol. Comput. 70: 101041 (2022) - [j145]Sheng Qi, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization. Swarm Evol. Comput. 73: 101100 (2022) - [j144]Qiuyue Liu, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization. Swarm Evol. Comput. 73: 101108 (2022) - [j143]Matthew Fox, Shengxiang Yang, Fabio Caraffini:
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms. Swarm Evol. Comput. 74: 101125 (2022) - [j142]Yanping Wang, Yuan Liu, Juan Zou, Jinhua Zheng, Shengxiang Yang:
A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems. Swarm Evol. Comput. 75: 101166 (2022) - [j141]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo:
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. IEEE Trans. Artif. Intell. 3(6): 1015-1029 (2022) - [j140]Conor Fahy, Shengxiang Yang:
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams. IEEE Trans. Big Data 8(1): 178-192 (2022) - [j139]Zhengping Liang, Tiancheng Wu, Xiaoliang Ma, Zexuan Zhu, Shengxiang Yang:
A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification. IEEE Trans. Cybern. 52(3): 1602-1615 (2022) - [j138]Qiongbing Zhang, Shengxiang Yang, Min Liu, Jianxun Liu, Lei Jiang:
A New Crossover Mechanism for Genetic Algorithms for Steiner Tree Optimization. IEEE Trans. Cybern. 52(5): 3147-3158 (2022) - [j137]Lianbo Ma, Min Huang, Shengxiang Yang, Rui Wang, Xingwei Wang:
An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 52(7): 6684-6696 (2022) - [j136]Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang:
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. IEEE Trans. Cybern. 52(10): 11027-11040 (2022) - [j135]Jie Chen, Shengxiang Yang, Hua Mao, Conor Fahy:
Multiview Subspace Clustering Using Low-Rank Representation. IEEE Trans. Cybern. 52(11): 12364-12378 (2022) - [j134]Lianbo Ma, Nan Li, Yinan Guo, Xingwei Wang, Shengxiang Yang, Min Huang, Hao Zhang:
Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System. IEEE Trans. Cybern. 52(12): 12698-12711 (2022) - [j133]Yingbo Xie, Shengxiang Yang, Ding Wang, Junfei Qiao, Baocai Yin:
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. IEEE Trans. Evol. Comput. 26(3): 542-554 (2022) - [j132]Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu, Junfu Chen, Ali Wagdy Mohamed:
HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing. IEEE Trans. Netw. Serv. Manag. 19(3): 3264-3275 (2022) - [j131]Yunhe Wang, Chuang Bian, Ka-Chun Wong, Xiangtao Li, Shengxiang Yang:
Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5016-5027 (2022) - [c126]Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang:
Learning to Search Promising Regions by a Monte-Carlo Tree Model. CEC 2022: 1-8 - [c125]Jinhua Zheng, Kaixi Yang, Juan Zou, Shengxiang Yang:
Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization. ICTAI 2022: 712-719 - [i11]Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi:
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. CoRR abs/2201.00523 (2022) - [i10]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo:
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. CoRR abs/2203.00190 (2022) - 2021
- [j130]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9: 85442-85454 (2021) - [j129]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. 111: 107692 (2021) - [j128]Zhengping Liang, Ya Zou, Shunxiang Zheng, Shengxiang Yang, Zexuan Zhu:
A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization. Expert Syst. Appl. 172: 114594 (2021) - [j127]Yinan Guo, Botao Jiao, Lingkai Yang, Jian Cheng, Shengxiang Yang, Fengzhen Tang:
A novel oversampling technique based on the manifold distance for class imbalance learning. Int. J. Bio Inspired Comput. 18(3): 131-142 (2021) - [j126]Huipeng Xie, Juan Zou, Shengxiang Yang, Jinhua Zheng, Junwei Ou, Yaru Hu:
A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization. Inf. Sci. 560: 307-330 (2021) - [j125]Jinlong Zhou, Juan Zou, Shengxiang Yang, Jinhua Zheng, Dunwei Gong, Tingrui Pei:
Niche-based and angle-based selection strategies for many-objective evolutionary optimization. Inf. Sci. 571: 133-153 (2021) - [j124]Yaru Hu, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang:
Dynamic multi-objective optimization algorithm based decomposition and preference. Inf. Sci. 571: 175-190 (2021) - [j123]Zhipan Li, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization. Inf. Sci. 574: 413-430 (2021) - [j122]Juan Zou, Ruiqing Sun, Shengxiang Yang, Jinhua Zheng:
A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems. Inf. Sci. 579: 89-102 (2021) - [j121]Juan Zou, Zhenghui Zhang, Jinhua Zheng, Shengxiang Yang:
A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation. Knowl. Based Syst. 231: 107392 (2021) - [j120]Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang, Yang Li:
Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization. Neural Comput. Appl. 33(11): 6369-6388 (2021) - [j119]Yue Xu, Dechang Pi, Shengxiang Yang, Yang Chen:
A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure. Reliab. Eng. Syst. Saf. 208: 107338 (2021) - [j118]Jinlong Zhou, Juan Zou, Jinhua Zheng, Shengxiang Yang, Dunwei Gong, Tingrui Pei:
An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization. Soft Comput. 25(13): 8051-8062 (2021) - [j117]Juan Zou, Jing Liu, Jinhua Zheng, Shengxiang Yang:
A many-objective algorithm based on staged coordination selection. Swarm Evol. Comput. 60: 100737 (2021) - [j116]Juan Zou, Jing Liu, Shengxiang Yang, Jinhua Zheng:
A many-objective evolutionary algorithm based on rotation and decomposition. Swarm Evol. Comput. 60: 100775 (2021) - [j115]Jinhua Zheng, Yubing Zhou, Juan Zou, Shengxiang Yang, Junwei Ou, Yaru Hu:
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization. Swarm Evol. Comput. 60: 100786 (2021) - [j114]Sanyi Li, Shengxiang Yang, Yanfeng Wang, Weichao Yue, Junfei Qiao:
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization. Swarm Evol. Comput. 62: 100829 (2021) - [j113]Gan Ruan, Jinhua Zheng, Juan Zou, Zhongwei Ma, Shengxiang Yang:
A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization. Swarm Evol. Comput. 63: 100867 (2021) - [j112]Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong:
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021) - [c124]Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang:
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. CEC 2021: 111-118 - [c123]Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang:
A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. CEC 2021: 1938-1945 - [c122]Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang:
Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution. ICIG (1) 2021: 735-747 - [c121]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN 2021: 1-8 - [c120]Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang, Tingting Wang:
Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution. MMSP 2021: 1-6 - [c119]Baojian Chen, Changhe Li, Sanyou Zeng, Shengxiang Yang, Michalis Mavrovouniotis:
An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions. SSCI 2021: 1-8 - [i9]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao:
Generalized Moving Peaks Benchmark. CoRR abs/2106.06174 (2021) - [i8]Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao:
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. CoRR abs/2107.11019 (2021) - [i7]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello:
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. CoRR abs/2107.11696 (2021) - [i6]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. CoRR abs/2109.00889 (2021) - 2020
- [j111]Juan Zou, Qite Yang, Shengxiang Yang, Jinhua Zheng:
Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization. Appl. Soft Comput. 90: 106192 (2020) - [j110]Xiaoli Li, Shiqi Shen, Shengxiang Yang, Kang Wang, Yang Li:
Analysis and multi-objective optimization of slag powder process. Appl. Soft Comput. 96: 106587 (2020) - [j109]Michalis Mavrovouniotis, Shengxiang Yang, Mien Van, Changhe Li, Marios M. Polycarpou:
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. IEEE Comput. Intell. Mag. 15(1): 52-63 (2020) - [j108]Zhaoke Huang, Chunhua Yang, Xiaojun Zhou, Shengxiang Yang:
Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm. Cogn. Comput. 12(2): 357-368 (2020) - [j107]Junfei Qiao, Fei Li, Shengxiang Yang, Cuili Yang, Wenjing Li, Ke Gu:
An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection. Inf. Sci. 512: 446-470 (2020) - [j106]Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor:
AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation. Inf. Sci. 515: 365-387 (2020) - [j105]Juan Zou, Qi Deng, Jinhua Zheng, Shengxiang Yang:
A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems. Inf. Sci. 519: 332-347 (2020) - [j104]Yaru Hu, Jinhua Zheng, Juan Zou, Shengxiang Yang, Junwei Ou, Rui Wang:
A dynamic multi-objective evolutionary algorithm based on intensity of environmental change. Inf. Sci. 523: 49-62 (2020) - [j103]Yaru Hu, Junwei Ou, Jinhua Zheng, Juan Zou, Shengxiang Yang, Gan Ruan:
Solving dynamic multi-objective problems with an evolutionary multi-directional search approach. Knowl. Based Syst. 194: 105175 (2020) - [j102]Qing-da Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai:
Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties. IEEE Trans. Control. Syst. Technol. 28(6): 2752-2761 (2020) - [j101]Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor:
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 50(6): 2814-2826 (2020) - [j100]Dunwei Gong, Biao Xu, Yong Zhang, Yi-Nan Guo, Shengxiang Yang:
A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24(1): 142-156 (2020) - [j99]Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li:
Novel Prediction Strategies for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 24(2): 260-274 (2020) - [j98]Qing-da Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai:
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24(4): 792-806 (2020) - [c118]Guangwu Cui, Ruimin Shen, Yingfeng Chen, Juan Zou, Shengxiang Yang, Changjie Fan, Jinghua Zheng:
Reinforced Evolutionary Algorithms for Game Difficulty Control. ACAI 2020: 33:1-33:7 - [c117]Matthew Fox, Shengxiang Yang, Fabio Caraffini:
An Experimental Study of Prediction Methods in Robust optimization Over Time. CEC 2020: 1-7 - [c116]Wenjie Liu, Wenjian Luo, Xin Lin, Miqing Li, Shengxiang Yang:
Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions. CEC 2020: 1-9 - [c115]Zedong Zheng, Shengxiang Yang:
Particle Swarm Optimisation for Scheduling Electric Vehicles with Microgrids. CEC 2020: 1-7 - [c114]Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang:
An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme. GECCO Companion 2020: 165-166 - [c113]Long Xiao, Changhe Li, Junchen Wang, Michalis Mavrovouniotis, Shengxiang Yang, Xiaorong Dan:
Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. ICMLC 2020: 518-523 - [c112]Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR 2020: 5294-5301 - [c111]Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena:
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. IJCNN 2020: 1-6 - [i5]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello:
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR abs/2006.07767 (2020) - [i4]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR abs/2008.08496 (2020)
2010 – 2019
- 2019
- [j97]Conor Fahy, Shengxiang Yang:
Dynamic Feature Selection for Clustering High Dimensional Data Streams. IEEE Access 7: 127128-127140 (2019) - [j96]Junfei Qiao, Hongbiao Zhou, Cuili Yang, Shengxiang Yang:
A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty. Appl. Soft Comput. 74: 190-205 (2019) - [j95]Junwei Ou, Jinhua Zheng, Gan Ruan, Yaru Hu, Juan Zou, Miqing Li, Shengxiang Yang, Xu Tan:
A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization. Appl. Soft Comput. 85 (2019) - [j94]He Xu, Weiwei Shen, Peng Li, Keith Mayes, Ruchuan Wang, Dashen Li, Shengxiang Yang:
Novel implementation of defence strategy of relay attack based on cloud in RFID systems. Int. J. Inf. Comput. Secur. 11(2): 120-144 (2019) - [j93]Hui Bai, Jinhua Zheng, Guo Yu, Shengxiang Yang, Juan Zou:
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation. Inf. Sci. 478: 186-207 (2019) - [j92]Zhengping Liang, Shunxiang Zheng, Zexuan Zhu, Shengxiang Yang:
Hybrid of memory and prediction strategies for dynamic multiobjective optimization. Inf. Sci. 485: 200-218 (2019) - [j91]Renato Tinós, Shengxiang Yang:
A framework for inducing artificial changes in optimization problems. Inf. Sci. 485: 486-504 (2019) - [j90]Juan Zou, Liuwei Fu, Shengxiang Yang, Jinhua Zheng, Gan Ruan, Tingrui Pei, Lei Wang:
An adaptation reference-point-based multiobjective evolutionary algorithm. Inf. Sci. 488: 41-57 (2019) - [j89]Qingya Li, Juan Zou, Shengxiang Yang, Jinhua Zheng, Gan Ruan:
A predictive strategy based on special points for evolutionary dynamic multi-objective optimization. Soft Comput. 23(11): 3723-3739 (2019) - [j88]