基本信息
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职业迁徙
个人简介
Pursuing PhD in Computer Science at Old Dominion University, USA.
Research Interest: Bioinformatics, Image Processing, Deep Learning, NLP, Data Science, Data Mining.
Research:
Biological Image Processing:
• Deep learning based semantic segmentation (e.g., U-Net) for protein secondary structure detection from cryo-EM image .
• Validation and quality assessment of protein secondary structure deposited in protein databank.
• Image processing techniques for tracing actin filament from low resolution cryo-ET image.
Social Media Content Analysis :
• Sentiment analysis, sentiment lexicon development, cross-lingual sentiment analysis, self-supervised learning.
• Vulgarity and abusive content analysis in social media, document clustering, topic modeling, code-switched data.
Data Mining for Cancer Classification :
• Correlation based feature selection.
• Bio-inspired evolutionary algorithm (e..g., PSO, WOA).
Research Interest: Bioinformatics, Image Processing, Deep Learning, NLP, Data Science, Data Mining.
Research:
Biological Image Processing:
• Deep learning based semantic segmentation (e.g., U-Net) for protein secondary structure detection from cryo-EM image .
• Validation and quality assessment of protein secondary structure deposited in protein databank.
• Image processing techniques for tracing actin filament from low resolution cryo-ET image.
Social Media Content Analysis :
• Sentiment analysis, sentiment lexicon development, cross-lingual sentiment analysis, self-supervised learning.
• Vulgarity and abusive content analysis in social media, document clustering, topic modeling, code-switched data.
Data Mining for Cancer Classification :
• Correlation based feature selection.
• Bio-inspired evolutionary algorithm (e..g., PSO, WOA).
研究兴趣
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International Journal of Molecular Sciencesno. 24 (2023): 17183
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canadano. 29 Suppl 1 (2023): 915-916
WASSA@ACLpp.52-57, (2023)
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34TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA, HT 2023pp.34:1-34:6, (2023)
2023 International Conference on Machine Learning and Applications (ICMLA) (2023): 2247-2252
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