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Research Areas
- Bayesian Modeling and Causal Inference
- Advanced Graph Neural Networks
- Complex Network Analysis Techniques
Guilin University of Electronic Technology
2020-2021
Graph signal processing (GSP) is a field that deals with data residing on irregular domains, i.e. graph signals. In this field, the filter bank one of most important developments, owing to its ability provide multiresolution analysis However, current research focuses static The does not exploit temporal correlations time-varying signals in real-world applications, such as wireless sensor networks. paper, theory and design joint time-vertex nonsubsampled are developed, using generalized...
10.1109/tsp.2021.3064984
article
EN
IEEE Transactions on Signal Processing
2021-01-01
10.1007/s00034-020-01548-x
article
EN
Circuits Systems and Signal Processing
2020-09-27
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