中文版 | English
Liyan Song
Liyan Song Research Assistant Professor
Positions : College of Engineering Department of Computer Science and Engineering
Research Contents : My main research area focuses on machine learning and its application to predictive software engineering (i.e., software defect prediction and software effort estimation). My (the other) main research interest is the classical machine learning (ML), including regression and classification, statistical ML, Bayesian regression, class imbalance learning, online learning, ensemble learning and so on. I myself also had done a few works on unsupervised ML, specifically independent component analysis (ICA), in the gap year of my PhD period. Together with some PhD students in our group, I also work with deep neural network (DNN) on image data. I know the basic things, being capable of making analysis on the networks, but I am not good at constructing / designing the architecture of deep networks though people are always telling me that to be simple, neither do I be familiar with those fancy, tricky and interesting skills to make DNNs working well. Regarding the application of software engineering, I am working with the below two tasks: 1) Just-in-time software defect prediction (JIT-SDP) is typically a binary classification problem with highly class imbalance. Machine learning skills required include binary classification, online learning, imbalance learning, dealing with label noise and so on. We can explore and dig out experimental data from GitHub. 2) Software effort estimation (SEE) is a regression problem with small data and highly "label noise". The datasets are scare and the data in each dataset is small. The data quality is NOT high.
Scopus Author ID : 56313668000
Contact email : songly@sustech.edu.cn
Blog :
  • Total
  • Views
  • Downloads
  • TC[WOS]
  • TC[Scopus]
  • h-index[WOS]
  • h-index[Scopus]
Biography

My main research area focuses on machine learning and its application to predictive software engineering (i.e., software defect prediction and software effort estimation).

My (the other) main research interest is the classical machine learning (ML), including regression and classification, statistical ML, Bayesian regression, class imbalance learning, online learning, ensemble learning and so on. I myself also had done a few works on unsupervised ML, specifically independent component analysis (ICA), in the gap year of my PhD period.

Together with some PhD students in our group, I also work with deep neural network (DNN) on image data. I know the basic things, being capable of making analysis on the networks, but I am not good at constructing / designing the architecture of deep networks though people are always telling me that to be simple, neither do I be familiar with those fancy, tricky and interesting skills to make DNNs working well.

Regarding the application of software engineering, I am working with the below two tasks:

1) Just-in-time software defect prediction (JIT-SDP) is typically a binary classification problem with highly class imbalance. Machine learning skills required include binary classification, online learning, imbalance learning, dealing with label noise and so on. We can explore and dig out experimental data from GitHub.

2) Software effort estimation (SEE) is a regression problem with small data and highly "label noise". The datasets are scare and the data in each dataset is small. The data quality is NOT high.

Employment
2019-12_ Southern University of Science and Technology Computer Science & Engineering Research assistant professor
2019-03_2019-12 伯明翰大学 research fellow
2019-03_2019-12 University of Birmingham (UK) School of Computer Science Research fellow
2016-10_2019-02 南方科技大学 访问学生
2015-10_2016-10 Hong Kong Baptist University Department of Computer Science Research assistant-PhD intern
2015-10_2016-10 香港浸会大学 senior research assistant
2012-01_2012-10 Hong Kong Baptist University Department of Computer Science Research assistance
2011-05_2012-01 Antian Lab Anti-virus emergency team internship
Education
2012-10_2018-11 University of Birmingham (UK) 计算机学院 Computer science Doctor
2009-09_2011-06 Harbin Institute of Technology 理学院 / 数学系 Computational Mathematics Math Master
2005-09_2009-06 Harbin Institute of Technology 理学院 / 数学系 Mathematics Math Bachelor