Jingshu Zhang — accepted AI-conference papers

2024

Efficient Point Cloud Attribute Compression Framework using Attribute-Guided Graph Fourier Transform

Jingshu Zhang, Yueru Chen, Guoqing Liu, Wei Gao, Ge Li

ICASSP 2024accepted

The Graph Fourier Transform (GFT) has achieved remarkable success in point cloud attribute compression due to its adaptability in handling irregular signals. However, the conventional graph-based attribute compression method mostly relies on geometry information to construct the Laplace matrix. In t…

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2021

Weighted Magnitude-Phase Loss for Speech Dereverberation

Jingshu Zhang, Mark D. Plumbley, Wenwu Wang

ICASSP 2021accepted

In real rooms, recorded speech usually contains reverberation, which degrades the quality and intelligibility of the speech. It has proven effective to use neural networks to estimate complex ideal ratio masks (cIRMs) using mean square error (MSE) loss for speech dereverberation. However, in some ca…

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