CV | Eajack's Blog

Eajack Lau

updated on 2019/9/5

中文版本

Contacts

• Email: eajacklau@163.com
• Personal Website: https://eajack.github.io/

Education

• Sep. 2015-June 2019

  • College: Jinan University (JNU), China
  • Major: Electronic Information Science and Technology, School of Intelligent Systems Science and Engineering
  • Major courses included: C Programming Language, Signals and Systems,Digital Image Processing, Digital Signal Processing

• Sep. 2019-Present

  • College (postgraduate recommendation): Huazhong University of Science and Technology (HUST), China
  • Major: Computer Science & Technology, School of Computer Science & Technology

Honors

• Jan. 2018-Dec. 2018

  • “National Scholarship” in the 2017-2018 academic year
  • “Excellent Student” in the 2017-2018 academic year
  • Meritorious Winner (international first prize) in 2018 Mathematical Contest in Modeling (MCM/ICM 2018)
  • “Best Project Award” in “Win with Innovation” Jinan University Innovation Competition (the 3rd Issue in 11th Season)

• Jan. 2017-Dec. 2017

  • National second prize & Provincial first prize in 2017 China Undergraduate Mathematical Contest in Modeling (CUMCM 2017)
  • Honorable Mention (international second prize) in 2017 Mathematical Contest in Modeling (MCM/ICM 2017)
  • National third prize in CCSE Cup 2017, National University Students Electrical Math Modeling Competition
  • National Encouragement Scholarship in the 2016-2017 academic year
  • Excellent League Member of Jinan University in the 2016-2017 academic year

• Jan. 2016-Dec. 2016

  • Provincial second prize in 2016 China Undergraduate Mathematical Contest in Modeling (CUMCM 2016)
  • National Encouragement Scholarship in the 2015-2016 academic year
  • Excellent League Member of Jinan University in the 2015-2016 academic year

Project Experience

Graduation Design：Sentiment Analysis on User Reviews Based on Natural Language Processing（Multi-label & Multi-classification Text Classification problem，2018.11 ~ 2019.4）

1.What I do

• Project idea source: “Fine-grained User Reviews Sentiment Analysis” competition in “AI Challenger 2018”
• Preliminary work：Literature research in the field of sentiment analysis in NLP，MeiTuan reviews crawler（about 2.3 million），text preprocessing on million-level text data set
• ML scheme：(1) TF-IDF + SVM/Multinomial Logistic Regression/Naive Bayes；(2) Extracting
  algorithm based on Pos Tagging Rules. Programming environment：Python3.5, sklearn, numpy etc..
• DL scheme: (1) baseline：FastText；(2) Text-CNN-Based models. Programming environment: Python3.5, TensorFlow, sklearn etc.. Tricks: (1) word embedding layer: Word2vec/GloVe/FastText/ELMo (2)Learning rate exponential attenuation strategy/L2 Regularization/Dropout (3)Hyperparameter fine-tune(batch_size etc.)

Apr. 2018-Apr. 2019(Foreground extraction algorithm based on face detection and image segmentation (leader))

1.Project outcome

• Rated as 2018 National Training Program of Innovation for Undergraduates

2.What I do

• complete the C/C++ testing project on GrabCut algorithm(image matting algorithm) based on OpenCV
• Preliminary study on deep matting (especially on Automatic Portrait Segmentation for Image Stylization & Deep Automatic Portrait Matting)
• Literature survey on traditional matting algorithm & deep matting (based on Deep Learning)

Apr. 2018-Apr. 2019(Algorithm research on bus smart travel plan (participant))

1.Project outcome

• Rated as 2018 National Training Program of Innovation for Undergraduates

2.What I do

• Complete the C/C++ project about people counting of bus video

Apr. 2018-Sep. 2018(Abnormal behavior detection in trolley compartment (participant))

1.Project outcome

• the project of Institute of Internet of Things and Logistics Engineering of Jinan University

2.What I do

• complete the background modeling algorithm(codebook algorithm) with C/C++

July 2017-Apr. 2018(The design of intelligent trash bin with image processing technology (leader))

1.Project outcome

• Rated as 2017 National Training Program of Innovation for Undergraduates
• “Best Project Award” in “Win with Innovation” Jinan University Innovation Competition (the 3rd Issue in 11th Season)

2.What I do

• Implemented trash image recognition and classification algorithm with C/C++ programming language on OpenCV platform
• Accomplished the testing algorithm with Python on Raspberry Pi board
• Designed trash bin 3D models on the SolidWorks software platform

July 2016-Apr. 2017(Intelligent transportation project based on video image processing (participant))

1.Project outcome

• Rated as 2016 Provincial Training Program of Innovation for Undergraduates

2.What I do

• Completed the design of traffic flow video background extraction algorithm

Organization experience

• Sep. 2016-Sep. 2018(Mathematical Modeling Innovation Practice Base of Jinan University)

  • Work as assistant & minister in academic department

Professional Skills

• Familiar with MATLAB & Python, as well as C/C++
• Interested in Computer Vision(CV), Natural Language Processing(NLP fresher) & Machine Learning Field
• Software project experience in NLP/CV
• Extensive experience in team work and working on a regular schedule
• English ability: CET4(573), CET6(502); Skillful English reading ability