Yangzhu Wang

Orcid: 0000-0003-1309-589X

According to our database1, Yangzhu Wang authored at least 20 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AV2TS: A Multivariate Time Series Modeling Framework for Audio-Visual Segmentation.
IEEE Trans. Multim., 2026

Simultaneous Temporal-Frequency-Variable Modeling for Power Forecasting.
IEEE Internet Things J., 2026

2025
Hierarchical Spatial-Temporal UAV Tracking With Three-Dimensional Wavelets for Road Traffic Surveillance.
IEEE Trans. Intell. Transp. Syst., November, 2025

Inconsistent Multivariate Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., July, 2025

Variable-Dynamic Multivariate Time-Series Forecasting for IoT Systems.
IEEE Internet Things J., July, 2025

Is Meta-Learning Effective for Few-Shot Hyperspectral Image Classification?
IEEE Trans. Geosci. Remote. Sens., 2025

Area2Area forecasting: Looser constraints, better predictions.
Inf. Sci., 2025

An adaptive network with consecutive and intertwined slices for real-world time-series forecasting.
Inf. Sci., 2025

Exploring the Hierarchical Sparsity in Long-Term Multivariate Energy Data for Effective and Efficient Forecasting.
IEEE Internet Things J., 2025

Robust Multivariate Time Series Forecasting with Deep Reconstruction.
Proceedings of the Neural Information Processing - 32nd International Conference, 2025

2024
Autonomous UAV Maneuvering Decisions by Refining Opponent Strategies.
IEEE Trans. Aerosp. Electron. Syst., June, 2024

Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer.
IEEE Internet Things J., April, 2024

AFMF: Time series anomaly detection framework with modified forecasting.
Knowl. Based Syst., 2024

Siamese-like Time-series Forecasting with Prior Anomaly Detection and Inner Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
GBT: Two-stage transformer framework for non-stationary time series forecasting.
Neural Networks, August, 2023

FDNet: Focal Decomposed Network for efficient, robust and practical time series forecasting.
Knowl. Based Syst., 2023

Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer.
CoRR, 2023

2022
TCCT: Tightly-coupled convolutional transformer on time series forecasting.
Neurocomputing, 2022

Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect.
CoRR, 2022

2013
Research on visual navigation technology of unmanned aerial vehicle landing.
Proceedings of the IEEE International Conference on Information and Automation, 2013


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