From 5eea6c78c5e39f06ba900a6aa873e887a7014b53 Mon Sep 17 00:00:00 2001 From: Yongquan Yang Date: Sat, 13 Aug 2022 17:07:04 +0800 Subject: [PATCH] Update awesome-cv-cn.aux, awesome-cv-cn.out, and section_publications.tex --- awesome-cv-cn.aux | 2 +- section_publications.tex | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/awesome-cv-cn.aux b/awesome-cv-cn.aux index 96b5763..f265cce 100644 --- a/awesome-cv-cn.aux +++ b/awesome-cv-cn.aux @@ -24,8 +24,8 @@ \@writefile{toc}{\contentsline {section}{\numberline {3}\color {accentcolor}{{\FA \symbol {"F212}}}\enspace 学术论文}{1}{section.3}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {4}\color {accentcolor}{{\FA \symbol {"F298}}}\enspace 发明专利}{2}{section.4}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {5}\color {accentcolor}{{{\FA \symbol {"F26C}}}}\enspace 软件著作权}{2}{section.5}\protected@file@percent } -\@writefile{toc}{\contentsline {section}{\numberline {6}\color {accentcolor}{{\FA \symbol {"F121}}}\enspace 项目经验}{2}{section.6}\protected@file@percent } \gdef \LT@i {\LT@entry {1}{83.53188pt}\LT@entry {1}{433.10086pt}} +\@writefile{toc}{\contentsline {section}{\numberline {6}\color {accentcolor}{{\FA \symbol {"F121}}}\enspace 项目经验}{3}{section.6}\protected@file@percent } \gdef \@abspage@last{3} diff --git a/section_publications.tex b/section_publications.tex index df214bd..da7cf2f 100644 --- a/section_publications.tex +++ b/section_publications.tex @@ -10,6 +10,7 @@ \item Hong, Bowei, Zhiqiang Wei, and \textbf{Yongquan Yang*}. 2019. A TWO-LAYER CASCADING METHOD FOR DROPOUT PREDICTION IN MOOC. Mechatronic Systems and Control 47 (2): 91–97. https://doi.org/10.2316/J.2019.201-2980. \textbf{SCI:} WOS:000459473000006, Emerging Sources Citation Index (ESCI). \textbf{EI:}20190906569724. \item Sun, Wenjie, Zhiqiang Wei, Bowei Hong, and \textbf{Yongquan Yang*}. 2019. A Digital Ocean Cloud Platform Architecture Based on IPv6 Smart Gateway. In 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), 438–42. Chengdu, China: IEEE. https://doi.org/10.1109/ICCCBDA.2019.8725700. \textbf{SCI:}WOS:000475685900085, Conference Proceedings Citation Index – Science (CPCI-S). \textbf{EI:}20192507082541. \item Adeniyi, D. A., Z. Wei, and \textbf{Y Yang*}. 2018. Risk Factors Analysis and Death Prediction in Some Life-Threatening Ailments Using Chi-Square Case-Based Reasoning (Χ2 CBR) Model. Interdisciplinary Sciences: Computational Life Sciences 10 (4): 854–74. https://doi.org/10.1007/s12539-018-0283-6. \textbf{SCI:} WOS:000451751300019, Science Citation Index Expanded (SCI-Expanded). + \item Adeniyi, D. A., Z. Wei, and \textbf{Y Yang*}. 2017. Personalised news filtering and recommendation system using Chi-square statistics-based K-nearest neighbour ((SB)-S-2-KNN) model. ENTERPRISE INFORMATION SYSTEMS. 11(9):1283-1316. https://doi.org/10.1080/17517575.2016.1229500. \textbf{SCI:} WOS:000407511400002, Science Citation Index Expanded (SCI-Expanded). \item Hong, Bowei, Zhiqiang Wei, and \textbf{Yongquan Yang*}.2017a. Online Education Performance Prediction via Time-Related Features. In 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS), 95–100. Wuhan, China: IEEE. https://doi.org/10.1109/ICIS.2017.7959976. \textbf{SCI:} WOS:000414478200017, Conference Proceedings Citation Index – Science (CPCI-S). \textbf{EI:} 20174104250893. \item Hong, Bowei, Zhiqiang Wei, and \textbf{Yongquan Yang*}.2017b. Discovering Learning Behavior Patterns to Predict Dropout in MOOC. In 2017 12th International Conference on Computer Science and Education (ICCSE), 700–704. Houston, TX, USA: IEEE. https://doi.org/10.1109/ICCSE.2017.8085583. \textbf{SCI:} WOS:000417426900132, Conference Proceedings Citation Index – Science (CPCI-S). \textbf{EI:} 20180204633917. \item Zhao, Aite, Zhiqiang Wei, and \textbf{Yongquan Yang*}. 2016. Research on SQLite Database Query Optimization Based on Improved PSO Algorithm. International Journal of Database Theory and Application 9 (4): 239–46. \\ https://doi.org/10.14257/ijdta.2016.9.4.22. \textbf{EI:} 20161902360209.