9 citations · 11 across the 7 of their papers we have counts for
7 papers
DiEC: Diffusion Embedded Clustering
Haidong Hu, Xiaoyu Zheng, Jin Zhou +8
Deep clustering methods typically rely on a single, well-defined representation for clustering. In contrast, pretrained diffusion models provide abundant and diverse multi-scale re…
FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition
Haiqi Liu, C. L. Philip Chen, Tong Zhang
Cross-subject EEG emotion recognition is challenged by significant inter-subject variability and intricately entangled intra-subject variability. Existing works have primarily addr…
Reliable Multimodal Learning Via Multi-Level Adaptive DeConfusion
Tong Zhang, Shu Shen, C. L. Philip Chen
Multimodal learning enhances the performance of various machine learning tasks by leveraging complementary information across different modalities. However, existing methods often…
Online-BLS: An Accurate and Efficient Online Broad Learning System for Data Stream Classification
Chunyu Lei, Guang-Ze Chen, C. L. Philip Chen +1
The state-of-the-art online learning models generally conduct a single online gradient descent when a new sample arrives and thus suffer from suboptimal model weights. To this end,…
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition
Jibao Qiu, C. L. Philip Chen, Tong Zhang
Symbolic Music Emotion Recognition(SMER) is to predict music emotion from symbolic data, such as MIDI and MusicXML. Previous work mainly focused on learning better representation v…
OneDConv: Generalized Convolution For Transform-Invariant Representation
Tong Zhang, Haohan Weng, Ke Yi +1
Convolutional Neural Networks (CNNs) have exhibited their great power in a variety of vision tasks. However, the lack of transform-invariant property limits their further applicati…
Siamese Labels Auxiliary Learning
Wenrui Gan, Zhulin Liu, C. L. Philip Chen +1
In deep learning, auxiliary training has been widely used to assist the training of models. During the training phase, using auxiliary modules to assist training can improve the pe…