Kun Zhu
Orcid: 0000-0002-7374-8015Affiliations:
- Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Zhejiang University of Finance and Economics, School of Information, Hangzhou, China (former)
According to our database1,
Kun Zhu
authored at least 10 papers
between 2019 and 2025.
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Bibliography
2025
Fuzzy State-Driven Cross-Time Spatial Dependence Learning for Multivariate Time-Series Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., March, 2025
When causality meets missing data: Fusing key information to bridge causal discovery and imputation in time series via bidirectional meta-learning.
Inf. Fusion, 2025
2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Dynamic Graph-Based Adaptive Learning for Online Industrial Soft Sensor With Mutable Spatial Coupling Relations.
IEEE Trans. Ind. Electron., September, 2023
Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting.
IEEE Trans. Knowl. Data Eng., March, 2023
2022
Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting.
Knowl. Based Syst., 2022
Spatiotemporal multi-graph convolutional networks with synthetic data for traffic volume forecasting.
Expert Syst. Appl., 2022
2021
A novel hybrid deep learning model for taxi demand forecasting based on decomposition of time series and fusion of text data.
J. Intell. Fuzzy Syst., 2021
A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting.
Expert Syst. Appl., 2021
2019
IEEE Access, 2019