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RISS 인기검색어
- 검색키워드
- 저자 : Huang Jinqing (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Visual Saliency Detection via Unsupervised Sparse Learning
Jinqing Qi,Shi-Jing Dong,Fang Huang,Yang Hu 한국정보통신학회 2015 2016 INTERNATIONAL CONFERENCE Vol.7 No.1
In this paper, a visual saliency detection method with unsupervised sparse learning is proposed. To achieve this goal, the information theoretic perspective of term frequency - inverse document frequency (TF-IDF) measure is introduced to learn a compact dictionary for salient components detection. Experimental results on benchmark dataset suggest that the proposed method works effectively for visual Saliency detection.
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Salient Motion Detection via Learning Discriminative Components
Jinqing Qi,Li-Li Zhang,Fang Huang,Yang Hu 한국정보통신학회 2015 2016 INTERNATIONAL CONFERENCE Vol.7 No.1
Discriminative components play an important role in computer vision and pattern recognition. In this paper, we propose a novel approach for learning the discriminative components of sparse representation. To achieve this goal, the information theoretic perspective of term frequency - inverse document frequency (TF-IDF) measure is introduced to learn a compact dictionary, which is composed of discriminative components such as patch, color and human priors, for salient motion detection. Experimental results on benchmark dataset suggest that the proposed method works effectively on reconstructing discriminative components.
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Comprehensive analysis of TCR repertoire of COVID-19 patients in different infected stage
Wang Guangyu,Wang Yongsi,Jiang Shaofeng,Fan Wentao,Mo Chune,Gong Weiwei,Chen Hui,He Dan,Huang Jinqing,Ou Minglin,Hou Xianliang 한국유전학회 2022 Genes & Genomics Vol.44 No.7
Background: The current pandemic of coronavirus disease 2019 (COVID-19), transmitted person-to-person by the severe acute respiratory syndrome of coronavirus 2 (SARS-CoV-2), poses a threat to global public health. Objective: In this study, we performed the comprehensive analysis of the T cell receptor (TCR) repertoire may contribute to a more in-depth understanding of the pathogenesis of COVID-19. Methods: A comprehensive immunological analysis was performed to explore the features of the TCR repertoire and identified TCR sequences correlated with SARS-CoV-2 viral antigens. Results: we analyzed the COVID-19 patients' TCR repertoires in peripheral blood mononuclear cells (PBMC) which obtained before (baseline), during (acute), and after rehabilitation (convalescent) by ImmunoSEQ-technology, and found that repertoire features of TCRβ-chain (TCRβ) complementary-determining region 3 (CDR3) in COVID-19 patients were remarkable difference, including decreased TCR diversity, abnormal CDR3 length, difference of TRBV/J gene usage and higher TCR sequence overlap. Besides, we identified some COVID-19 disease-associated TCRβ clones, and the abundance of them changed with the progression of the disease. Importantly, these disease-associated TCRβ clones could be used to distinguish COVID-19 patients from healthy controls with high accuracy. Conclusions: We provide a clear understanding of the TCR repertoire of COVID-19 patients, which lays the foundation for better diagnosis and treatment of COVID-19 patients.
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