Articles with public access mandates - shijin wangLearn more
Not available anywhere: 35
One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes
S Chen, J Yu, S Wang
Journal of Process Control 87, 54-67, 2020
Mandates: National Natural Science Foundation of China
Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan
S Wang, X Wang, J Yu, S Ma, M Liu
Journal of cleaner production 193, 424-440, 2018
Mandates: National Natural Science Foundation of China
Multi-objective optimization of parallel machine scheduling integrated with multi-resources preventive maintenance planning
S Wang, M Liu
Journal of Manufacturing Systems 37, 182-192, 2015
Mandates: National Natural Science Foundation of China
An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production
S Wang, X Wang, F Chu, J Yu
International Journal of Production Research 58 (8), 2283-2314, 2020
Mandates: National Natural Science Foundation of China
A branch-and-bound algorithm for two-stage no-wait hybrid flow-shop scheduling
S Wang, M Liu, C Chu
International Journal of Production Research 53 (4), 1143-1167, 2015
Mandates: National Natural Science Foundation of China
A deep autoencoder feature learning method for process pattern recognition
J Yu, X Zheng, S Wang
Journal of Process Control 79, 1-15, 2019
Mandates: National Natural Science Foundation of China
Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes
J Yu, C Zhang, S Wang
Neural Computing and Applications 33 (8), 3085-3104, 2021
Mandates: National Natural Science Foundation of China
An improved exact algorithm for single-machine scheduling to minimise the number of tardy jobs with periodic maintenance
M Liu, S Wang, C Chu, F Chu
International Journal of Production Research 54 (12), 3591-3602, 2016
Mandates: National Natural Science Foundation of China
Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder
C Zhang, J Yu, S Wang
International Journal of Production Research 59 (8), 2426-2449, 2021
Mandates: National Natural Science Foundation of China
Algorithms for the joint multitasking scheduling and common due date assignment problem
M Liu, S Wang, F Zheng, C Chu
International Journal of Production Research 55 (20), 6052-6066, 2017
Mandates: National Natural Science Foundation of China
Two-machine flow shop scheduling integrated with preventive maintenance planning
S Wang, M Liu
International Journal of Systems Science 47 (3), 672-690, 2016
Mandates: National Natural Science Foundation of China
One-dimensional convolutional neural network-based active feature extraction for fault detection and diagnosis of industrial processes and its understanding via visualization
S Chen, J Yu, S Wang
ISA transactions 122, 424-443, 2022
Mandates: National Natural Science Foundation of China
Variable neighborhood search-based methods for integrated hybrid flow shop scheduling with distribution
S Wang, R Wu, F Chu, J Yu
Soft Computing 24 (12), 8917-8936, 2020
Mandates: National Natural Science Foundation of China
Stacked denoising autoencoder‐based feature learning for out‐of‐control source recognition in multivariate manufacturing process
J Yu, X Zheng, S Wang
Quality and Reliability Engineering International 35 (1), 204-223, 2019
Mandates: National Natural Science Foundation of China
Approximation algorithms for the min-max regret identical parallel machine scheduling problem with outsourcing and uncertain processing time
S Wang, W Cui
International Journal of Production Research 59 (15), 4579-4592, 2021
Mandates: National Natural Science Foundation of China
Approximate and exact algorithms for an energy minimization traveling salesman problem
S Wang, M Liu, F Chu
Journal of Cleaner Production 249, 119433, 2020
Mandates: National Natural Science Foundation of China
Two-stage no-wait hybrid flow-shop scheduling with sequence-dependent setup times
S Wang, X Wang, L Yu
International journal of systems science: operations & logistics 7 (3), 291-307, 2020
Mandates: National Natural Science Foundation of China
An improved formulation and efficient heuristics for the discrete parallel-machine makespan ScheLoc problem
S Wang, R Wu, F Chu, J Yu, X Liu
Computers & Industrial Engineering 140, 106238, 2020
Mandates: National Natural Science Foundation of China
Monitoring of complex profiles based on deep stacked denoising autoencoders
S Chen, J Yu, S Wang
Computers & Industrial Engineering 143, 106402, 2020
Mandates: National Natural Science Foundation of China
Probabilistic tabu search algorithm for container liner shipping problem with speed optimisation
S Wang, Q Zhao
International Journal of Production Research 60 (12), 3651-3668, 2022
Mandates: National Natural Science Foundation of China
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