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chengbao liu(刘承宝 )
chengbao liu(刘承宝 )
Institute of Automation, Chinese Academy of Science
ia.ac.cn의 이메일 확인됨
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Lithium-ion cell screening with convolutional neural networks based on two-step time-series clustering and hybrid resampling for imbalanced data
C Liu, J Tan, H Shi, X Wang
IEEE Access 6, 59001-59014, 2018
402018
An exposure fusion-based structured light approach for the 3D measurement of a specular surface
K Wu, J Tan, HL Xia, CB Liu
IEEE Sensors Journal 21 (5), 6314-6324, 2020
382020
Path planning and intelligent scheduling of multi-AGV systems in workshop
C Liu, J Tan, H Zhao, Y Li, X Bai
2017 36th Chinese Control Conference (CCC), 2735-2739, 2017
382017
Generalization on unseen domains via model-agnostic learning for intelligent fault diagnosis
H Wang, X Bai, S Wang, J Tan, C Liu
IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022
312022
Study on distributed lithium-ion power battery grouping scheme for efficiency and consistency improvement
X Bai, J Tan, X Wang, L Wang, C Liu, L Shi, W Sun
Journal of cleaner production 233, 429-445, 2019
192019
Exploring explicitly disentangled features for domain generalization
J Li, Y Li, H Wang, C Liu, J Tan
IEEE Transactions on Circuits and Systems for Video Technology 33 (11), 6360 …, 2023
182023
A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening
C Liu, J Tan, X Wang
Journal of Intelligent Manufacturing 31, 833-845, 2020
182020
Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved Siamese network
K Wu, J Tan, C Liu
IEEE Sensors Journal 22 (12), 11847-11856, 2022
172022
ACT: Adversarial convolutional transformer for time series forecasting
Y Li, H Wang, J Li, C Liu, J Tan
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
152022
Oversampling for imbalanced time series classification based on generative adversarial networks
C Liu, X Wang, K Wu, J Tan, F Li, W Liu
2018 IEEE 4th International Conference on Computer and Communications (ICCC …, 2018
152018
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions
Y Li, J Li, H Wang, C Liu, J Tan
Reliability Engineering & System Safety 242, 109748, 2024
142024
Temporal hypergraph attention network for silicon content prediction in blast furnace
C Liu, J Tan, J Li, Y Li, H Wang
IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022
122022
A multi-source data feature fusion and expert knowledge integration approach on lithium-ion battery anomaly detection
Y Wang, X Bai, C Liu, J Tan
Journal of Electrochemical Energy Conversion and Storage 19 (2), 021003, 2022
122022
Cross-attention-map-based regularization for adversarial domain adaptation
J Li, H Wang, K Wu, C Liu, J Tan
Neural Networks 145, 128-138, 2022
102022
Few-shot learning approach for 3D defect detection in lithium battery
K Wu, J Tan, J Li, C Liu
Journal of Physics: Conference Series 1884 (1), 012024, 2021
102021
A novel approach to obtain optimal exposure for 3D shape reconstruction of high dynamic range objects
K Wu, J Tan, C Liu
Measurement Science and Technology 32 (9), 095206, 2021
62021
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis
H Wang, Y Li, X Bai, J Li, J Tan, C Liu
Journal of Intelligent Manufacturing 35 (7), 3131-3148, 2024
42024
Temporal Double Graph Convolutional Network for CO and CO2 Prediction in Blast Furnace Gas
T Zhang, C Liu, Z Liu, J Tan, M Ahmat
IEEE Transactions on Instrumentation and Measurement, 2023
42023
Battery Grouping Based on Dynamic Gaussian Mixture Model
L Wang, J Tan, C Man, X Bai, X Wang, C Liu
2018 IEEE 4th International Conference on Computer and Communications (ICCC …, 2018
32018
Discharge voltage time series classification of lithium-ion cells based on deep neural networks
C Liu, X Wang, J Tan, L Wang, W Sun, W He
2018 IEEE 4th International Conference on Computer and Communications (ICCC …, 2018
32018
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