Zixing Zhang

Biographic Data

ID7788553
NAMEZixing Zhang
GIVEN NAMESZixing
FAMILY NAMEZhang
SIGNATUREZHANG Z
AFFILIATIONSHunan University
ORCID0000-0001-8487-0561
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Physical activity, sedentary behavior and risk of inflammatory bowel disease

    Open AccessSiqin Xia, Jie Zhang et al.ARTICLEBMC Public Health2025

    The results revealed that promoting PA and reducing SB synergistically lower IBD risk. Individuals combining high PA with lowest SB time are at the lowest probability of developing IBD

  • Refashioning Emotion Recognition Modeling

    Open AccessZixing Zhang, Liyizhe Peng et al.ARTICLEIEEE Transactions on Computational…2024

    After its inception, emotion recognition or affective computing has increasingly become an active research topic due to its broad applications. The corresponding computational models have gradually migrated from statistically shallow models to neural-network-based deep models, which can significantly boost the performance of emotion recognition and consistently achieve the best results on different benchmarks, and thus has been considered the fir…

  • Establishing the reliability of metrics extracted from long-form recordings using Lena and the Aclew pipeline

    Open AccessAlejandrina Cristia, Lucas Gautheron et al.ARTICLEBehavior Research Methods2024

    Long-form audio recordings are increasingly used to study individual variation, group differences, and many other topics in theoretical and applied fields of developmental science, particularly for the description of children's language input (typically speech from adults) and children's language output (ranging from babble to sentences). The proprietary LENA software has been available for over a decade, and with it, users have come to rely on d…

  • Rethinking Auditory Affective Descriptors Through Zero-Shot Emotion Recognition in Speech

    Open AccessXinzhou Xu, Jun Deng et al.ARTICLEIEEE Transactions on Computational…2022

    Zero-shot speech emotion recognition (SER) endows machines with the ability of sensing unseen-emotional states in speech, compared with conventional SER endeavors on supervised cases. On addressing the zero-shot SER task, auditory affective descriptors (AADs) are typically employed to transfer affective knowledge from seen- to unseen-emotional states. However, it remains unknown which types of AADs can well describe emotional states in speech dur…