| An energy efficient decision-making strategy of burden distribution for blast furnace M Wu, K Zhang, J An, J She, KZ Liu Control Engineering Practice 78, 186-195, 2018 | 38 | 2018 |
| Self-supervised learning for time series analysis: Taxonomy, progress, and prospects K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, JY Zhang, Y Liang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 33 | 2024 |
| Multiple-timescale feature learning strategy for valve stiction detection based on convolutional neural network K Zhang, Y Liu, Y Gu, X Ruan, J Wang IEEE/ASME Transactions on Mechatronics 27 (3), 1478-1488, 2021 | 15 | 2021 |
| Two-stage decision-making method for burden distribution based on recognition of conditions in blast furnace Y Huang, X Lai, K Zhang, J An, L Chen, M Wu IEEE Transactions on Industrial Electronics 68 (5), 4199-4208, 2020 | 12 | 2020 |
| Relation model of burden operation and state variables of blast furnace based on low frequency feature extraction K Zhang, M Wu, J An, W Cao, Z Liu, F Ning IFAC-PapersOnLine 50 (1), 13796-13801, 2017 | 6 | 2017 |
| Valve stiction detection using multitimescale feature consistent constraint for time-series data K Zhang, Y Liu, Y Gu, J Wang, X Ruan IEEE/ASME Transactions on Mechatronics, 2022 | 5 | 2022 |
| Position Paper: What Can Large Language Models Tell Us about Time Series Analysis M Jin, Y Zhang, W Chen, K Zhang, Y Liang, B Yang, J Wang, S Pan, ... arXiv preprint arXiv:2402.02713, 2024 | 3 | 2024 |
| Industrial Fault Detection using Contrastive Representation Learning on Time-series Data K Zhang, R Cai, Y Liu IFAC-PapersOnLine 56 (2), 3197-3202, 2023 | 1 | 2023 |
| Time Series Anomaly Detection using Skip-Step Contrastive Predictive Coding K Zhang, Q Wen, C Zhang, L Sun, Y Liu NeurIPS 2022 Workshop on Self-Supervised Learning - Theory and Practice, 2022 | 1 | 2022 |
| Unsupervised feature learning with data augmentation for control valve stiction detection K Zhang, Y Liu 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS …, 2021 | 1 | 2021 |
| An Intelligent Selection Strategy for Burden Distribution Based on Classification of Blast Furnace Condition K Zhang, M Wu, J An 2018 37th Chinese Control Conference (CCC), 3481-3485, 2018 | 1 | 2018 |
| DCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification R Cai, L Peng, Z Lu, K Zhang, Y Liu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection K Zhang, Q Wen, C Zhang, L Sun, Y Liu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Debiased Contrastive Learning for Time-Series Representation Learning and Fault Detection K Zhang, R Cai, C Zhou, Y Liu IEEE Transactions on Industrial Informatics, 2024 | | 2024 |
| Expert demonstrations guide reward decomposition for multi-agent cooperation L Weiwei, J Wei, L Shanqi, R Yudi, Z Kexin, Y Jiang, L Yong Neural Computing and Applications 35 (27), 19847-19863, 2023 | | 2023 |
| Industrial Fault Detection Based on Time-Frequency Distillation Autoencoder R Cai, K Zhang, Y Liu 2023 42nd Chinese Control Conference (CCC), 5120-5125, 2023 | | 2023 |
