Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Yan Teng

Biographic Data

ID3650414
NAMEYan Teng
GIVEN NAMESYan
FAMILY NAMETeng
SIGNATURETENG Y
AFFILIATIONSYunnan University
ORCID0000-0002-7069-4728
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS2
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Fc-Aen: Fully Convolutional Adaptive Ensemble Network for Automatic Depression Detection

    Open Access•Yaowei Wang, Zulong Lin et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Multimodal automatic depression detection (ADD) has garnered significant research interest due to its potential for providing fast, objective, and reliable assessments. Despite advancements in the field, several challenges persist. First, many existing methods employ fixed-size feature modeling, which fails to adapt to temporal variations in depressive emotional expression, resulting in the loss of critical depressive behavior information. Second…

  • Simma: Multimodal Automatic Depression Detection via Spatiotemporal Ensemble and Cross-Modal Alignment

    Open Access•Yaowei Wang, Zulong Lin et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Research indicates significant differences in the voice and facial expressions of individuals with depression compared to healthy individuals. Consequently, many studies have begun using audio-visual data for automatic depression detection (ADD). Despite significant progress, numerous challenges remain. During feature extraction, many studies fail to capture crucial spatiotemporal information for depression diagnosis, leading to decreased feature…

  • Collectivism and individualism political bias in large language models: A two-step approach

    Open Access•Xiaobo Shan, Xiao-bo SHAN et al.•ARTICLE•Big Data & Society•2025

    In this paper, we investigate the political biases of large language models concerning collectivism and individualism through a combined analysis of their value judgments and factual assessments. We propose a two-step approach to evaluate the patterns of bias in the outputs of large language models as well as a specific set of questions to examine large language model outputs’ political bias on collectivism and individualism. Our methodology invo…

  • Possibilities and challenges in the moral growth of large language models: A Philosophical Perspective

    Open Access•Guoyu Wang, Wei Wang et al.•ARTICLE•Ethics and Information Technology•2024•Cited by: 2•References: 4

  • Ultraviolet Radiation and Basal Cell Carcinoma: An Environmental Perspective

    Open Access•Yan Teng, Yong Yu et al.•ARTICLE•Frontiers in Public Health•2021

    Ultraviolet radiation (UVR) is a known carcinogen participated for the development of skin cancers. Solar UVR exposure, particularly ultraviolet B (UVB), is the mostly significant environmental risk factor for the occurrence and progress of basal cell carcinoma(BCC). Both cumulative and intermittent high-grade UVR exposure could promote the uncontrolled replication of skin cells. There are also exsiting other contributing environmental factors th…

  • Towards trustworthy blockchains: Normative reflections on blockchain-enabled virtual institutions

    Open Access•Yan Teng•ARTICLE•Ethics and Information Technology•2021

    This paper proposes a novel way to understand trust in blockchain technology by analogy with trust placed in institutions. In support of the analysis, a detailed investigation of institutional trust is provided, which is then used as the basis for understanding the nature and ethical limits of blockchain trust. Two interrelated arguments are presented. First, given blockchains’ capacity for being institution-like entities by inviting expectations…

  • Possibilities and challenges in the moral growth of large language models: A Philosophical Perspective

    Open Access•Guoyu Wang, Wei Wang et al.•ARTICLE•Ethics and Information Technology•2024•Cited by: 2•References: 4

  • Ultraviolet Radiation and Basal Cell Carcinoma: An Environmental Perspective

    Open Access•Yan Teng, Yong Yu et al.•ARTICLE•Frontiers in Public Health•2021

    Ultraviolet radiation (UVR) is a known carcinogen participated for the development of skin cancers. Solar UVR exposure, particularly ultraviolet B (UVB), is the mostly significant environmental risk factor for the occurrence and progress of basal cell carcinoma(BCC). Both cumulative and intermittent high-grade UVR exposure could promote the uncontrolled replication of skin cells. There are also exsiting other contributing environmental factors th…

  • Towards trustworthy blockchains: Normative reflections on blockchain-enabled virtual institutions

    Open Access•Yan Teng•ARTICLE•Ethics and Information Technology•2021

    This paper proposes a novel way to understand trust in blockchain technology by analogy with trust placed in institutions. In support of the analysis, a detailed investigation of institutional trust is provided, which is then used as the basis for understanding the nature and ethical limits of blockchain trust. Two interrelated arguments are presented. First, given blockchains’ capacity for being institution-like entities by inviting expectations…

  • Possibilities and challenges in the moral growth of large language models: A Philosophical Perspective

    Open Access•Guoyu Wang, Wei Wang et al.•ARTICLE•Ethics and Information Technology•2024•Cited by: 2•References: 4

  • Simma: Multimodal Automatic Depression Detection via Spatiotemporal Ensemble and Cross-Modal Alignment

    Open Access•Yaowei Wang, Zulong Lin et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Research indicates significant differences in the voice and facial expressions of individuals with depression compared to healthy individuals. Consequently, many studies have begun using audio-visual data for automatic depression detection (ADD). Despite significant progress, numerous challenges remain. During feature extraction, many studies fail to capture crucial spatiotemporal information for depression diagnosis, leading to decreased feature…

  • Collectivism and individualism political bias in large language models: A two-step approach

    Open Access•Xiaobo Shan, Xiao-bo SHAN et al.•ARTICLE•Big Data & Society•2025

    In this paper, we investigate the political biases of large language models concerning collectivism and individualism through a combined analysis of their value judgments and factual assessments. We propose a two-step approach to evaluate the patterns of bias in the outputs of large language models as well as a specific set of questions to examine large language model outputs’ political bias on collectivism and individualism. Our methodology invo…

  • Fc-Aen: Fully Convolutional Adaptive Ensemble Network for Automatic Depression Detection

    Open Access•Yaowei Wang, Zulong Lin et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Multimodal automatic depression detection (ADD) has garnered significant research interest due to its potential for providing fast, objective, and reliable assessments. Despite advancements in the field, several challenges persist. First, many existing methods employ fixed-size feature modeling, which fails to adapt to temporal variations in depressive emotional expression, resulting in the loss of critical depressive behavior information. Second…

Computer Science (4 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Chemistry (2 works) · Emotion and Mood Recognition (2 works) · Epistemology (2 works) · Law (2 works) · Mental Health via Writing (2 works) · Philosophy (2 works) · Political science (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae