Yuan Zong

Biographic Data

ID6222870
NAMEYuan Zong
GIVEN NAMESYuan
FAMILY NAMEZong
SIGNATUREZONG Y
AFFILIATIONSSoutheast University
ORCID0000-0002-0178-990X
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX0

  • Trend-Aware Multiscale Spatial-Temporal Graph Convolution Network for P300 Detection

    Open AccessJincen Wang, Wenming Zheng et al.ARTICLEIEEE Transactions on Computational…2026

    P300-based brain–computer interfaces (BCIs) enable direct communication between the brain and external devices by decoding P300 potentials, playing a vital role in rehabilitation and cognitive neuroscience research. Accurate detection of P300 potentials is essential for the successful implementation of P300-based BCIs. Current mainstream P300 detection algorithms are based on multichannel electroencephalogram (EEG) signals, and while promising de…

  • An Interpretable Collaborative Acoustic Parameter Modeling Network for Speech Emotion Recognition

    Open AccessHailun Lian, Cheng Lu et al.ARTICLEIEEE Transactions on Computational…2026

    Acoustic parameters can collaboratively represent speech emotions. However, existing speech emotion recognition (SER) methods neglect explicit collaborative modeling among acoustic parameters during representation learning. This not only limits their ability to extract the information contained in acoustic parameters that collaboratively represent emotions, but also makes it difficult to trace back which acoustic parameters are closely associated…

  • Towards Domain-Specific Cross-Corpus Speech Emotion Recognition Approach

    Open AccessYan Zhao, Yuan Zong et al.ARTICLEIEEE Transactions on Computational…2025

    Cross-corpus speech emotion recognition (SER) poses a challenge due to feature distribution mismatch between the training and testing speech samples, potentially degrading the performance of established SER methods. In this article, we tackle this challenge by proposing a novel transfer subspace learning method called acoustic knowledge-guided transfer linear regression (AKTLR). Unlike existing approaches, which often overlook domain-specific kno…

  • Appearance-related distress impacts psychological symptoms in Chinese patients with cleft lip

    Open AccessYichun Yang, Renjie Yang et al.ARTICLEFrontiers in Public Health2025

    Background: This study aimed to explore the characteristics of appearance-related distress and the relationship between appearance-related distress, anxiety and depression symptoms in Chinese patients with cleft lip (CL). Methods: The Derriford Appearance Scale 59 (DAS-59), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) were used to screen for appearance-related distress, anxiety, and depression symptoms in Chi…

  • Layer-Adapted Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition

    Open AccessYan Zhao, Yuan Zong et al.ARTICLEIEEE Transactions on Computational…2024

    In this article, we propose a new unsupervised domain adaptation (DA) method called layer-adapted implicit distribution alignment networks (LIDANs) to address the challenge of cross-corpus speech emotion recognition (SER). LIDAN extends our previous ICASSP work, deep implicit distribution alignment networks (DIDANs), whose key contribution lies in the introduction of a novel regularization term called implicit distribution alignment (IDA). This t…

  • Speech Emotion Recognition via an Attentive Time–Frequency Neural Network

    Open AccessCheng Lu, Wenming Zheng et al.ARTICLEIEEE Transactions on Computational…2023

    Spectrogram is commonly used as the input feature of deep neural networks to learn the high(er)-level time–frequency pattern of speech signal for speech emotion recognition (SER). Generally, different emotions correspond to specific energy activations both within frequency bands and time frames on spectrogram, which indicates the frequency and time domains are both essential to represent the emotion for SER. However, recent spectrogram-based work…

  • Depression Assessment Method

    Open AccessHongli Chang, Yuan Zong et al.ARTICLEFrontiers in Psychiatry2022

    The main characteristic of depression is emotional dysfunction, manifested by increased levels of negative emotions and decreased levels of positive emotions. Therefore, accurate emotion recognition is an effective way to assess depression. Among the various signals used for emotion recognition, electroencephalogram (EEG) signal has attracted widespread attention due to its multiple advantages, such as rich spatiotemporal information in multi-cha…

  • Prevalence, awareness, medication, control, and risk factors associated with hypertension in Yi ethnic group aged 50 years and over in rural China

    Open AccessLixing Chen, Yuan Zong et al.ARTICLEBMC Public Health2015

    Hypertension was highly prevalent among this population of the Yi ethnic group in China. The ratio of awareness, treatment, and control of hypertension were considerately low. Hypertension education and screening programs in rural China are recommended to improve the health status of this population