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Kexin Zhang
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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
1242024
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
382018
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
352024
Position: 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, ...
Forty-first International Conference on Machine Learning, 2024
252024
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
202021
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
152020
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 28 (3), 1488-1499, 2022
112022
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
92017
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
52022
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
52021
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
22024
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
22024
Industrial fault detection using contrastive representation learning on time-series data
K Zhang, R Cai, Y Liu
IFAC-PapersOnLine 56 (2), 3197-3202, 2023
22023
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
22018
Debiased Contrastive Learning With Supervision Guidance for Industrial Fault Detection
R Cai, W Gao, L Peng, Z Lu, K Zhang, Y Liu
IEEE Transactions on Industrial Informatics, 2024
12024
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
12023
Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing
L Wang, F Chen, Y Hu, Z Zheng, K Zhang
Algorithms 17 (12), 595, 2024
2024
Data-Driven-Based Full Recovery Technology and System for Transformer Insulating Oil
F Chen, L Wang, Z Zheng, B Pan, Y Hu, K Zhang
Energies 17 (24), 6345, 2024
2024
Fusion Assessment of Safety and Security for Intelligent Industrial Unmanned Systems
R Cai, X Xv, Z Lu, K Zhang, Y Liu
2024 7th International Symposium on Autonomous Systems (ISAS), 1-6, 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
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