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 | 40 | 2018 |
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 | 38 | 2020 |
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 | 38 | 2017 |
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 | 31 | 2022 |
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 | 19 | 2019 |
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 | 18 | 2023 |
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 | 18 | 2020 |
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 | 17 | 2022 |
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 | 15 | 2022 |
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 | 15 | 2018 |
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 | 14 | 2024 |
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 | 12 | 2022 |
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 | 12 | 2022 |
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 | 10 | 2022 |
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 | 10 | 2021 |
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 | 6 | 2021 |
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 | 4 | 2024 |
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 | 4 | 2023 |
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 | 3 | 2018 |
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 | 3 | 2018 |