Xianghua Chu

According to our database, Xianghua Chu authored at least 44 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Driven Recommendation Model Based on Meta-Learning for Non-Intrusive Load Monitoring.

Xianghua Chu, Yongsheng Pang, Yue Ma, Shuxiang Li, Yuanju Qu, Yangpeng Wang

IEEE Trans. Consumer Electron., February, 2024

2023

A data-driven <i>meta</i>-learning recommendation model for multi-mode resource constrained project scheduling problem.

Xianghua Chu, Shuxiang Li, Fei Gao, Can Cui, Forest Pfeiffer, Jianshuang Cui

Comput. Oper. Res., September, 2023

Self-decision mechanisms of smart production systems based on improved uncertainty theory and user-CFA.

Yuanju Qu, Jiayun Wang, Bo Jiang, Shenghui Cheng, Yangpeng Wang, Peishan Wu, Xinguo Ming, Xianghua Chu

Comput. Ind. Eng., September, 2023

Accident risk tensor-specific covariant model for railway accident risk assessment and prediction.

Yangpeng Wang, Shuxiang Li, Kangkuen Lee, Hwayaw Tam, Yuanju Qu, Jingyin Huang, Xianghua Chu

Reliab. Eng. Syst. Saf., April, 2023

Multi-stakeholder's sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach.

Yuanju Qu, Yangpeng Wang, Xinguo Ming, Xianghua Chu

Comput. Ind. Eng., March, 2023

Two-stage coevolution method for deep CNN: A case study in smart manufacturing.

Yuanju Qu, Yue Ma, Xinguo Ming, Yangpeng Wang, Shenghui Cheng, Xianghua Chu

Appl. Soft Comput., March, 2023

A Stacked Autoencoder Based Meta-Learning Model for Global Optimization.

Yue Ma, Yongsheng Pang, Shuxiang Li, Yuanju Qu, Yangpeng Wang, Xianghua Chu

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

2022

Empirical study on meta-feature characterization for multi-objective optimization problems.

Xianghua Chu, Jiayun Wang, Shuxiang Li, Yujuan Chai, Yuqiu Guo

Neural Comput. Appl., 2022

Data-Driven Recommendation Model with Meta-learning Autoencoder for Algorithm Selection.

Xianghua Chu, Yongsheng Pang, Jiayun Wang, Yuqiu Guo, Yuanju Qu, Yangpeng Wang

Proceedings of the Neural Computing for Advanced Applications, 2022

2021

Meta-feature Extraction for Multi-objective Optimization Problems.

Xianghua Chu, Jiayun Wang, Shuxiang Li, Linya Huang, Qiu He, Guodan Bao, Wei Zhao

Proceedings of the Neural Computing for Advanced Applications, 2021

2020

Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis.

Fei Gao, Teresa Wu, Xianghua Chu, Hyunsoo Yoon, Yanzhe Xu, Bhavika Patel

IEEE J. Biomed. Health Informatics, 2020

Learning-interaction-diversification framework for swarm intelligence optimizers: a unified perspective.

Xianghua Chu, Teresa Wu, Jeffery D. Weir, Yuhui Shi, Ben Niu, Li Li

Neural Comput. Appl., 2020

A feature transfer enabled multi-task deep learning model on medical imaging.

Fei Gao, Hyunsoo Yoon, Teresa Wu, Xianghua Chu

Expert Syst. Appl., 2020

A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection.

Xianghua Chu, Shuxiang Li, Da Gao, Wei Zhao, Jianshuang Cui, Linya Huang

Complex., 2020

An artificial bee colony algorithm with adaptive heterogeneous competition for global optimization problems.

Xianghua Chu, Fulin Cai, Da Gao, Li Li, Jianshuang Cui, Su Xiu Xu, Quande Qin

Appl. Soft Comput., 2020

A Binary Superior Tracking Artificial Bee Colony for Feature Selection.

Xianghua Chu, Shuxiang Li, Wenjia Mao, Wei Zhao, Linya Huang

Proceedings of the Neural Computing for Advanced Applications, 2020

2019

Adaptive differential search algorithm with multi-strategies for global optimization problems.

Xianghua Chu, Da Gao, Jiansheng Chen, Jianshuang Cui, Can Cui, Su Xiu Xu, Quande Qin

Neural Comput. Appl., 2019

An efficient auction mechanism for regional logistics synchronization.

Xianghua Chu, Su Xiu Xu, Fulin Cai, Jiansheng Chen, Quande Qin

J. Intell. Manuf., 2019

Adaptive recommendation model using meta-learning for population-based algorithms.

Xianghua Chu, Fulin Cai, Can Cui, Mengqi Hu, Li Li, Quande Qin

Inf. Sci., 2019

Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm.

Xianghua Chu, Da Gao, Shi Cheng, Lang Wu, Jiansheng Chen, Yuhui Shi, Quande Qin

Comput. Ind. Eng., 2019

Analysis of Measurement Process Design for a Dual-Arm Robot Using Graphical User Interface.

Shalaka Joshi, Xianghua Chu, Heidi Fleischer, Thomas Roddelkopf, Michael Klos, Kerstin Thurow

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018

Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization.

Ben Niu, Jing Liu, Teresa Wu, Xianghua Chu, Zhengxu Wang, Yanmin Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Adaptive brainstorm optimisation with multiple strategies.

Xianghua Chu, Jiansheng Chen, Fulin Cai, Li Li, Quande Qin

Memetic Comput., 2018

Application of a dual arm robot for automated sample preparation for cholesterol determination in biliary stent incrustations.

Shalaka Joshi, Xianghua Chu, Kinjal Ramani, Kerstin Thurow, Heidi Fleischer

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Efficient application of dual-arm robots in analytical measurements using motion frames.

Xianghua Chu, Michael Klos, Kerstin Thurow, Heidi Fleischer

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Integration of Electronic Pipettes into a Dual-arm Robotic System for Automated Analytical Measurement Processes Behaviors.

Heidi Fleischer, Daniel Baumann, Xianghua Chu, Thomas Roddelkopf, Michael Klos, Kerstin Thurow

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization.

Quande Qin, Shi Cheng, Xianghua Chu, Xiujuan Lei, Yuhui Shi

Appl. Soft Comput., 2017

A comparison analysis of swarm intelligence algorithms for robot swarm learning.

Jiaqi Fan, Mengqi Hu, Xianghua Chu, Dong Yang

Proceedings of the 2017 Winter Simulation Conference, 2017

Recommending PSO Variants Using Meta-Learning Framework for Global Optimization.

Xianghua Chu, Fulin Cai, Jiansheng Chen, Li Li

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

Augmented Brain Storm Optimization with Mutation Strategies.

Xianghua Chu, Jiansheng Chen, Fulin Cai, Chen Chen, Ben Niu

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

A comprehensive survey of brain storm optimization algorithms.

Shi Cheng, Yifei Sun, Junfeng Chen, Quande Qin, Xianghua Chu, Xiujuan Lei, Yuhui Shi

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Automation strategies for sample preparation in life science applications.

Xianghua Chu

PhD thesis, 2016

An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem.

Xianghua Chu, Ben Niu, Jing J. Liang, Qiang Lu

Int. J. Bio Inspired Comput., 2016

Modified Brain Storm Optimization Algorithms Based on Topology Structures.

Li Li, Fangfang Zhang, Xianghua Chu, Ben Niu

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

An Augmented Artificial Bee Colony with Hybrid Learning.

Guozheng Hu, Xianghua Chu, Ben Niu, Li Li, Yao Liu, Dechang Lin

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Flexible robot platform for sample preparation automation with a user-friendly interface.

Xianghua Chu, Thomas Roddelkopf, Heidi Fleischer, Norbert Stoll, Michael Klos, Kerstin Thurow

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Artificial Bee Colony Optimization for Yard Truck Scheduling and Storage Allocation Problem.

Fangfang Zhang, Li Li, Jing Liu, Xianghua Chu

Proceedings of the Intelligent Computing Theories and Application, 2016

An Augmented Artificial Bee Colony with Hybrid Learning for Traveling Salesman Problem.

Guozheng Hu, Xianghua Chu, Ben Niu, Li Li, Dechang Lin, Yao Liu

Proceedings of the Intelligent Computing Theories and Application, 2016

An superior tracking artificial bee colony for global optimization problems.

Xianghua Chu, Guozheng Hu, Ben Niu, Li Li, Zhengrong Chu

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Application of dual-arm robot in biomedical analysis: Sample preparation and transport.

Xianghua Chu, Heidi Fleischer, Norbert Stoll, Michael Klos, Kerstin Thurow

Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

A LC-MS integration approach in life science automation: Hardware integration and software integration.

Xianghua Chu, Heidi Fleischer, Thomas Roddelkopf, Norbert Stoll, Michael Klos, Kerstin Thurow

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

AHPS²: An optimizer using adaptive heterogeneous particle swarms.

Xianghua Chu, Mengqi Hu, Teresa Wu, Jeffery D. Weir, Qiang Lu

Inf. Sci., 2014

Accuracy vs. robustness: bi-criteria optimized ensemble of metamodels.

Can Cui, Teresa Wu, Mengqi Hu, Jeffery D. Weir, Xianghua Chu

Proceedings of the 2014 Winter Simulation Conference, 2014

2012

Solving the Distribution Center Location Problem Based on Multi-swarm Cooperative Particle Swarm Optimizer.

Xianghua Chu, Qiang Lu, Ben Niu, Teresa Wu

Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012