From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further On. - Xifan Yao; Jiajun Zhou 005; Jiangming Zhang 002; Claudio Roberto Boër (ES, 2017)

Self-Organizing Manufacturing: Current Status and Prospect for Industry 4.0. - Jiangming Zhang 002; Xifan Yao; Jiajun Zhou 005; Jingfa Jiang; Xinzhun Chen (ES, 2017)

Big Data in Wisdom Manufacturing for Industry 4.0. - Jiajun Zhou 005; Xifan Yao; Jianming Zhang 002 (ES, 2017)

Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition. - Jiajun Zhou 005; Xifan Yao (Appl. Intell., 2017)

Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing. - Jiajun Zhou 005; Xifan Yao (Appl. Soft Comput., 2017)

A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition. - Jiajun Zhou 005; Xifan Yao (Int. J. Prod. Res., 2017)

An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing. - Jiajun Zhou 005; Xifan Yao; Yingzi Lin; Felix T. S. Chan; Yun Li 002 (Inf. Sci., 2018)

A decomposition and statistical learning based many-objective artificial bee colony optimizer. - Jiajun Zhou 005; Liang Gao 001; Xifan Yao; Felix T. S. Chan; Jianming Zhang 002; Xinyu Li 001; Yingzi Lin (Inf. Sci., 2019)

A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement. - Jiajun Zhou 005; Xifan Yao; Felix T. S. Chan; Liang Gao 001; Xuan Jing; Xinyu Li 001; Yingzi Lin; Yun Li 002 (Inf. Sci., 2019)

An individual dependent multi-colony artificial bee colony algorithm. - Jiajun Zhou 005; Xifan Yao; Felix T. S. Chan; Yingzi Lin; Hong Jin; Liang Gao 001; Xuping Wang (Inf. Sci., 2019)

Smart manufacturing based on cyber-physical systems and beyond. - Xifan Yao; Jiajun Zhou 005; Yingzi Lin; Yun Li 002; Hongnian Yu; Ying Liu (J. Intell. Manuf., 2019)

Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons. - Jiajun Zhou 005; Liang Gao 001; Xifan Yao; Chunjiang Zhang; Felix T. S. Chan; Yingzi Lin (Swarm Evol. Comput., 2019)

An adaptive dual-population evolutionary paradigm with adversarial search: Case study on many-objective service consolidation. - Jiajun Zhou 005; Liang Gao 001; Xifan Yao; Chunjiang Zhang; Felix T. S. Chan; Yingzi Lin (Appl. Soft Comput., 2020)

Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search. - Jiajun Zhou 005; Liang Gao 001; Xifan Yao; Chunjiang Zhang; Felix T. S. Chan; Yingzi Lin (Inf. Sci., 2020)

An indicator and adaptive region division based evolutionary algorithm for many-objective optimization. - Jiajun Zhou 005; Xifan Yao; Liang Gao 001; Chengyu Hu 002 (Appl. Soft Comput., 2021)

Hyperplane-driven and projection-assisted search for solving many-objective optimization problems. - Jiajun Zhou 005; Liang Gao 001; Xinyu Li 001; Chunjiang Zhang; Chengyu Hu 002 (Inf. Sci., 2021)

Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization. - Jiajun Zhou 005; Liang Gao 001; Xinyu Li 001 (IEEE Trans. Evol. Comput., 2021)

Self-regulated bi-partitioning evolution for many-objective optimization. - Jiajun Zhou 005; Shijie Rao; Liang Gao 001; Chao Lu 008; Jun Zheng; Felix T. S. Chan (Inf. Sci., 2022)

A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers. - Chao Lu 008; Yuanxiang Huang; Leilei Meng; Liang Gao 001; Biao Zhang 003; Jiajun Zhou 005 (Robotics Comput. Integr. Manuf., 2022)

Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front. - Chunjiang Zhang; Liang Gao 001; Xinyu Li 001; Weiming Shen 001; Jiajun Zhou 005; Kay Chen Tan (IEEE Trans. Cybern., 2022)

Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. - Chengxiang Jin; Jiajun Zhou 005; Shengbo Gong; Chenxuan Xie; Qi Xuan 001 (ICDM (Workshops), 2023)

Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform. - Jiajun Zhou 005; Liang Gao 001; Chao Lu 008; Xifan Yao (Robotics Comput. Integr. Manuf., 2023)

Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning. - Jiajun Zhou 005; Liang Gao 001; Chao Lu 008 (Adv. Eng. Informatics, 2023)

Solving many-task optimization problems via online intertask learning. - Jiajun Zhou 005; Shijie Rao; Liang Gao 001; Chunjiang Zhang; Hongtao Tang; Yun Li 002; Felix T. S. Chan (Expert Syst. Appl., 2023)

An ensemble knowledge transfer framework for evolutionary multi-task optimization. - Jiajun Zhou 005; Shijie Rao; Liang Gao 001 (Swarm Evol. Comput., 2023)

Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches. - Jiajun Zhou 005; Yun Tian; Liang Gao 001; Chao Lu 008; Xifan Yao (Adv. Eng. Informatics, 2024)

Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. - Chao Lu 008; Jiajun Zhou 005; Liang Gao 001; Xinyu Li 001; Junliang Wang (Appl. Soft Comput., 2024)

A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem. - Fei Yu; Chao Lu 008; Jiajun Zhou 005; Lvjiang Yin; Kaipu Wang (Eng. Appl. Artif. Intell., 2024)

Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints. - Fei Yu; Chao Lu 008; Jiajun Zhou 005; Lvjiang Yin (Expert Syst. Appl., 2024)

Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources. - Fei Yu; Chao Lu 008; Lvjiang Yin; Jiajun Zhou 005 (J. Ind. Inf. Integr., 2024)

Scheduling Constrained Cloud Workflow Tasks via Evolutionary Multitasking Optimization With Adaptive Knowledge Transfer. - Jiajun Zhou 005; Liang Gao 001; Shijie Rao; Yun Li 002 (IEEE Trans. Serv. Comput., 2024)

Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling. - Xuan Jing; Xifan Yao; Min Liu; Jiajun Zhou 005 (J. Intell. Manuf., 2024)

A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking. - Feige Liu; Guiling Li; Chao Lu 008; Lvjiang Yin; Jiajun Zhou 005 (Expert Syst. Appl., 2024)

Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles. - Zhengjie Duan; Jiajun Zhou 005; Fangzhou Gu (Virtual Real., 2024)

Correction: Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles. - Zhengjie Duan; Jiajun Zhou 005; Fangzhou Gu (Virtual Real., 2024)

Knowledge Transfer Enabled Diverse Task Scheduling for Individualized Requirements in Industrial Cloud Platform. - Jiajun Zhou 005; Liang Gao 001; Chao Lu 008; Yun Li 002 (IEEE Trans Autom. Sci. Eng., 2025)

Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach. - Jiajun Zhou 005; Liang Gao 001; Chao Lu 008; Xifan Yao (J. Intell. Manuf., 2025)