Zhiyu Liang
Orcid: 0000-0003-0083-2547
According to our database1,
Zhiyu Liang
authored at least 26 papers
between 2013 and 2024.
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Bibliography
2024
VLDB J., September, 2024
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis.
Proc. VLDB Endow., August, 2024
TodyNet: Temporal dynamic graph neural network for multivariate time series classification.
Inf. Sci., 2024
UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Database Systems for Advanced Applications, 2024
Proceedings of the Database Systems for Advanced Applications, 2024
Cnos-Connector: Enabling Seamless Connection with CnosDB to Facilitate Large-Scale Time-Series Data Management and Analytics.
Proceedings of the Database Systems for Advanced Applications, 2024
2023
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning.
Proc. VLDB Endow., November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
CoRR, 2023
Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning.
CoRR, 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification.
CoRR, 2023
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning.
CoRR, 2023
FedST: Federated Shapelet Transformation for Interpretable Time Series Classification.
CoRR, 2023
TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification.
Proc. VLDB Endow., 2022
2021
Efficient class-specific shapelets learning for interpretable time series classification.
Inf. Sci., 2021
2020
Proceedings of the Database Systems for Advanced Applications, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
2019
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019
Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution.
CoRR, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
2018
2013