Wenhua Yu

Wenhua Yu

PhD Candidate

Monash University

About me

Hello, everyone, I’m Alven Yu, a data analyst in the environmental health field. Now I’m studying as a PhD student at Monash University, Melbourne, AU. My research interests include machine learning, modeling simulation, and Health assessment under the background of global warming and climate change. I’m also an R language enthusiast, keen on rmarkdown with everyting. I believe that which does not kill us makes us stronger.

Interests

  • Artificial Intelligence
  • Machine Learning
  • Big Data
  • Environmental Health

Posts

Deep Learning & Neural Network free resource(中文)

Mang resources about deep learning.
Last updated on Jul 12, 2020 1 min read Deep learning

Natural Language Processing(NLP)(1)——Text segmentation(R vs. python)

自然语言处理（Natural Language Processing） 自然语言处理（NLP）是机器学习重要分支之一，主要应用于篇章理解、文本摘要、情感分析、知识图谱、文本翻译等领域。而NLP应用首先是对文本进行分词，当前中文分词器有Ansj、paoding、盘古分词等多种，而最基础的分词器应该属于jieba分词器。下面将分别应用R和python对jieba分词器在中文分词、词性标注和关键词提取领域的应用进行比较。 一、jiaba中文分词 R实现 通过函数worker()来初始化分词引擎，使用segment()进行分词。有四种分词模式:最大概率法（MP）、隐马尔科夫模型（HMM）、混合模型（Mix）及索引模型（query）,默认为混合模型。具体可查看help(worker). #install.packages('jiebaR') library(jiebaR) mixseg <- worker() segment( "这是一段测试文本" , mixseg ) #或者用以下操作 mixseg['这是一段测试文本'] mixseg <= "这是一段测试文本" python实现 python中需安装jieba库，运用jieba.cut实现分词。cut_all参数为分词类型，默认为精确模式。 import jieba seg_list = jieba.
Last updated on Jul 12, 2020 2 min read

Projects

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All Deep Learning Other

Internal Project

An R package called “Deep Ensemble for Environmental Predictor.

MMCR Seed Funding, UNDERSTANDING THE IMPACTS OF ENVIRONMENTAL EXPOSURE ON EPILEPTIC SEIZURES.

This project aims to evaluate whether epileptic seizures are related to two important environmental factors, ambient temperature and air pollution.

Other Publications

Wenhua Yu, Yuming Guo, Liuhua Shi, Shanshan Li (2020). The association between long-term exposure to low-level PM2.5 and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach. PLoS medicine, 17(6).

PDF Code Dataset DOI

Wenhua Yu, Dian Caturini Sulistyoningrum, Danijela Gasevic, Rongbin Xu, Madarina Julia, Indah Kartika Murni, Zhuying Chen, Peng Lu, Yuming Guo, Shanshan Li (2020). Long-term exposure to PM2.5 and fasting plasma glucose in non-diabetic adolescents in Yogyakarta, Indonesia. Environmental Pollution, 257(113423).

PDF DOI

ZC Sun, WG Xu, XM Xiao,, Wenhua Yu, DM Xu, M Xu, HL Gao, RX Wang (2015). Ultrasonic dissection versus conventional electrocautery during gastrectomy for gastric cancer: a meta-analysis of randomized controlled trials. European Journal of Surgical Oncology (EJSO), 4(41).

PDF DOI

Wenhua Yu, Changping Li, Xiaomeng Fu, Zhuang Cui, Xiaoqian Liu, Linlin Fan, Guan Zhang, Jun Ma (2014). The Cost-Effectiveness of Different Feeding Patterns Combined with Prompt Treatments for Preventing Mother-to-Child HIV Transmission in South Africa: Estimates from Simulation Modeling. PloS one, 9(7).

PDF DOI

Xiaoqian Liu, Changping Li, Hui Gong, Zhuang Cui, Linlin Fan, Wenhua Yu, Zhuang Cui, Jun Ma (2013). An economic evaluation for prevention of diabetes mellitus in a developing country: a modelling study. BMC Public Health, 13(729).

PDF DOI

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Archive

Deep Learning & Neural Network free resource(中文)
Natural Language Processing(NLP)(1)——Text segmentation(R vs. python)