1 citations · 3 across the 9 of their papers we have counts for
6 papers
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems
Bosong Huang, Weihao Yu, Ruzhong Xie +2
Source localization is the inverse problem of graph information dissemination and has broad practical applications. However, the inherent intricacy and uncertainty in information d…
Improving EEG-based Emotion Recognition by Fusing Time-frequency And Spatial Representations
Kexin Zhu, Xulong Zhang, Jianzong Wang +2
Using deep learning methods to classify EEG signals can accurately identify people's emotions. However, existing studies have rarely considered the application of the information i…
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification
Zuheng Kang, Yayun He, Jianzong Wang +3
Data-Free Knowledge Distillation (DFKD) has recently attracted growing attention in the academic community, especially with major breakthroughs in computer vision. Despite promisin…
Improving Music Genre Classification from Multi-Modal Properties of Music and Genre Correlations Perspective
Ganghui Ru, Xulong Zhang, Jianzong Wang +2
Music genre classification has been widely studied in past few years for its various applications in music information retrieval. Previous works tend to perform unsatisfactorily, s…
Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation
Jian Luo, Jianzong Wang, Ning Cheng +3
Time-domain Transformer neural networks have proven their superiority in speech separation tasks. However, these models usually have a large number of network parameters, thus ofte…
Uncertainty Calibration for Deep Audio Classifiers
Tong Ye, Shijing Si, Jianzong Wang +2
Although deep Neural Networks (DNNs) have achieved tremendous success in audio classification tasks, their uncertainty calibration are still under-explored. A well-calibrated model…