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ORCIDXianghua Chu
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2020 – today
- 2024
[j21]Xianghua Chu, Yongsheng Pang, Yue Ma
, Shuxiang Li, Yuanju Qu, Yangpeng Wang:
Data-Driven Recommendation Model Based on Meta-Learning for Non-Intrusive Load Monitoring. IEEE Trans. Consumer Electron. 70(1): 3562-3572 (2024)- 2023
- [j20]Yuanju Qu, Yue Ma, Xinguo Ming, Yangpeng Wang, Shenghui Cheng, Xianghua Chu:
Two-stage coevolution method for deep CNN: A case study in smart manufacturing. Appl. Soft Comput. 135: 110026 (2023) - [j19]Yuanju Qu, Yangpeng Wang, Xinguo Ming, Xianghua Chu:
Multi-stakeholder's sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach. Comput. Ind. Eng. 177: 109043 (2023) - [j18]Yuanju Qu, Jiayun Wang, Bo Jiang, Shenghui Cheng, Yangpeng Wang, Peishan Wu, Xinguo Ming, Xianghua Chu:
Self-decision mechanisms of smart production systems based on improved uncertainty theory and user-CFA. Comput. Ind. Eng. 183: 109453 (2023) - [j17]Xianghua Chu, Shuxiang Li, Fei Gao, Can Cui, Forest Pfeiffer, Jianshuang Cui:
A data-driven meta-learning recommendation model for multi-mode resource constrained project scheduling problem. Comput. Oper. Res. 157: 106290 (2023) - [j16]Yangpeng Wang, Shuxiang Li, Kangkuen Lee, Hwayaw Tam, Yuanju Qu, Jingyin Huang, Xianghua Chu:
Accident risk tensor-specific covariant model for railway accident risk assessment and prediction. Reliab. Eng. Syst. Saf. 232: 109069 (2023) - [c22]Yue Ma, Yongsheng Pang, Shuxiang Li, Yuanju Qu, Yangpeng Wang, Xianghua Chu:
A Stacked Autoencoder Based Meta-Learning Model for Global Optimization. NCAA (1) 2023: 235-248 - 2022
- [j15]Xianghua Chu, Jiayun Wang, Shuxiang Li, Yujuan Chai, Yuqiu Guo:
Empirical study on meta-feature characterization for multi-objective optimization problems. Neural Comput. Appl. 34(19): 16255-16273 (2022) - [c21]Xianghua Chu, Yongsheng Pang, Jiayun Wang, Yuqiu Guo, Yuanju Qu, Yangpeng Wang:
Data-Driven Recommendation Model with Meta-learning Autoencoder for Algorithm Selection. NCAA (1) 2022: 530-542 - [e2]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I. Communications in Computer and Information Science 1637, Springer 2022, ISBN 978-981-19-6141-0 [contents] - [e1]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II. Communications in Computer and Information Science 1638, Springer 2022, ISBN 978-981-19-6134-2 [contents] - 2021
- [c20]Xianghua Chu, Jiayun Wang, Shuxiang Li, Linya Huang, Qiu He, Guodan Bao, Wei Zhao:
Meta-feature Extraction for Multi-objective Optimization Problems. NCAA 2021: 432-445 - 2020
- [j14]Xianghua Chu, Fulin Cai, Da Gao, Li Li, Jianshuang Cui, Su Xiu Xu, Quande Qin:
An artificial bee colony algorithm with adaptive heterogeneous competition for global optimization problems. Appl. Soft Comput. 93: 106391 (2020) - [j13]Xianghua Chu, Shuxiang Li, Da Gao, Wei Zhao, Jianshuang Cui, Linya Huang:
A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection. Complex. 2020: 8864315:1-8864315:13 (2020) - [j12]Fei Gao, Hyunsoo Yoon, Teresa Wu, Xianghua Chu:
A feature transfer enabled multi-task deep learning model on medical imaging. Expert Syst. Appl. 143 (2020) - [j11]Xianghua Chu, Teresa Wu, Jeffery D. Weir, Yuhui Shi, Ben Niu, Li Li:
Learning-interaction-diversification framework for swarm intelligence optimizers: a unified perspective. Neural Comput. Appl. 32(6): 1789-1809 (2020) - [j10]Fei Gao, Teresa Wu, Xianghua Chu, Hyunsoo Yoon, Yanzhe Xu, Bhavika Patel:
Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis. IEEE J. Biomed. Health Informatics 24(1): 39-49 (2020) - [c19]Xianghua Chu, Shuxiang Li, Wenjia Mao, Wei Zhao, Linya Huang:
A Binary Superior Tracking Artificial Bee Colony for Feature Selection. NCAA 2020: 296-305
2010 – 2019
- 2019
- [j9]Xianghua Chu, Da Gao, Shi Cheng, Lang Wu, Jiansheng Chen, Yuhui Shi, Quande Qin:
Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm. Comput. Ind. Eng. 136: 381-396 (2019) - [j8]Xianghua Chu, Fulin Cai, Can Cui, Mengqi Hu, Li Li, Quande Qin:
Adaptive recommendation model using meta-learning for population-based algorithms. Inf. Sci. 476: 192-210 (2019) - [j7]Xianghua Chu, Su Xiu Xu, Fulin Cai, Jiansheng Chen, Quande Qin:
An efficient auction mechanism for regional logistics synchronization. J. Intell. Manuf. 30(7): 2715-2731 (2019) - [j6]Xianghua Chu, Da Gao, Jiansheng Chen, Jianshuang Cui, Can Cui, Su Xiu Xu, Quande Qin:
Adaptive differential search algorithm with multi-strategies for global optimization problems. Neural Comput. Appl. 31(12): 8423-8440 (2019) - [c18]Shalaka Joshi, Xianghua Chu, Heidi Fleischer, Thomas Roddelkopf, Michael Klos, Kerstin Thurow:
Analysis of Measurement Process Design for a Dual-Arm Robot Using Graphical User Interface. I2MTC 2019: 1-6 - [i1]Fei Gao, Hyunsoo Yoon, Teresa Wu, Xianghua Chu:
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging. CoRR abs/1906.01828 (2019) - 2018
- [j5]Xianghua Chu, Jiansheng Chen, Fulin Cai, Li Li, Quande Qin:
Adaptive brainstorm optimisation with multiple strategies. Memetic Comput. 10(4): 383-396 (2018) - [j4]Ben Niu, Jing Liu, Teresa Wu, Xianghua Chu, Zhengxu Wang, Yanmin Liu:
Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1865-1876 (2018) - [c17]Heidi Fleischer, Daniel Baumann, Xianghua Chu, Thomas Roddelkopf, Michael Klos, Kerstin Thurow:
Integration of Electronic Pipettes into a Dual-arm Robotic System for Automated Analytical Measurement Processes Behaviors. CASE 2018: 22-27 - [c16]Xianghua Chu, Michael Klos, Kerstin Thurow, Heidi Fleischer:
Efficient application of dual-arm robots in analytical measurements using motion frames. I2MTC 2018: 1-6 - [c15]Shalaka Joshi, Xianghua Chu, Kinjal Ramani, Kerstin Thurow, Heidi Fleischer:
Application of a dual arm robot for automated sample preparation for cholesterol determination in biliary stent incrustations. I2MTC 2018: 1-6 - 2017
- [j3]Quande Qin, Shi Cheng, Xianghua Chu, Xiujuan Lei, Yuhui Shi:
Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization. Appl. Soft Comput. 59: 229-242 (2017) - [c14]Shi Cheng, Yifei Sun, Junfeng Chen, Quande Qin, Xianghua Chu, Xiujuan Lei, Yuhui Shi:
A comprehensive survey of brain storm optimization algorithms. CEC 2017: 1637-1644 - [c13]Xianghua Chu, Fulin Cai, Jiansheng Chen, Li Li:
Recommending PSO Variants Using Meta-Learning Framework for Global Optimization. SEAL 2017: 939-948 - [c12]Xianghua Chu, Jiansheng Chen, Fulin Cai, Chen Chen, Ben Niu:
Augmented Brain Storm Optimization with Mutation Strategies. SEAL 2017: 949-959 - [c11]Jiaqi Fan, Mengqi Hu, Xianghua Chu, Dong Yang:
A comparison analysis of swarm intelligence algorithms for robot swarm learning. WSC 2017: 3042-3053 - 2016
- [b1]Xianghua Chu:
Automation strategies for sample preparation in life science applications. University of Rostock, Germany, 2016, pp. 1-181 - [j2]Xianghua Chu, Ben Niu, Jing J. Liang, Qiang Lu:
An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem. Int. J. Bio Inspired Comput. 8(5): 268-285 (2016) - [c10]Xianghua Chu, Guozheng Hu, Ben Niu, Li Li, Zhengrong Chu:
An superior tracking artificial bee colony for global optimization problems. CEC 2016: 2712-2717 - [c9]Guozheng Hu, Xianghua Chu, Ben Niu, Li Li, Dechang Lin, Yao Liu:
An Augmented Artificial Bee Colony with Hybrid Learning for Traveling Salesman Problem. ICIC (1) 2016: 636-643 - [c8]Fangfang Zhang, Li Li, Jing Liu, Xianghua Chu:
Artificial Bee Colony Optimization for Yard Truck Scheduling and Storage Allocation Problem. ICIC (2) 2016: 908-917 - [c7]Xianghua Chu, Thomas Roddelkopf, Heidi Fleischer, Norbert Stoll, Michael Klos, Kerstin Thurow:
Flexible robot platform for sample preparation automation with a user-friendly interface. ROBIO 2016: 2033-2038 - [c6]Guozheng Hu, Xianghua Chu, Ben Niu, Li Li, Yao Liu, Dechang Lin:
An Augmented Artificial Bee Colony with Hybrid Learning. ICSI (2) 2016: 391-399 - [c5]Li Li, Fangfang Zhang, Xianghua Chu, Ben Niu:
Modified Brain Storm Optimization Algorithms Based on Topology Structures. ICSI (2) 2016: 408-415 - 2015
- [c4]Xianghua Chu, Heidi Fleischer, Thomas Roddelkopf, Norbert Stoll, Michael Klos, Kerstin Thurow:
A LC-MS integration approach in life science automation: Hardware integration and software integration. CASE 2015: 979-984 - [c3]Xianghua Chu, Heidi Fleischer, Norbert Stoll, Michael Klos, Kerstin Thurow:
Application of dual-arm robot in biomedical analysis: Sample preparation and transport. I2MTC 2015: 500-504 - 2014
- [j1]Xianghua Chu, Mengqi Hu, Teresa Wu, Jeffery D. Weir, Qiang Lu:
AHPS2: An optimizer using adaptive heterogeneous particle swarms. Inf. Sci. 280: 26-52 (2014) - [c2]Can Cui, Teresa Wu, Mengqi Hu, Jeffery D. Weir, Xianghua Chu:
Accuracy vs. robustness: bi-criteria optimized ensemble of metamodels. WSC 2014: 616-627 - 2012
- [c1]Xianghua Chu, Qiang Lu, Ben Niu, Teresa Wu:
Solving the Distribution Center Location Problem Based on Multi-swarm Cooperative Particle Swarm Optimizer. ICIC (1) 2012: 626-633
Coauthor Index
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