Xiaoying Huang's Homepage

Xiaoying Huang's research interests include machine learning, deep learning, and artificial intelligence.

1. Machine Learning

She has been interested in machine learning. In particular, her research approach mainly focuses on using regression technologies to improve the performance of data prediction.

Projects:

• PI (2017), "Implementation of News System Classification based on Naïve Bayesian Algorithm.

Representive Outcomes: (see full publications)

• Xiaoying Huang, "Proposed a new incremental learning method for Chinese text selection after analyzing the CHI extraction methods and incremental learning algorithm based on naïve Bayesian algorithm",Achieved an accuracy of over 90 percent through the simulation results of the news classification system [pdf] [long version]

2. Deep Learning

She is also interested in deep learning, particularly on CNN and RNN application development.

Interested Projects:

• PI, "Investigation and Implementation of Massive Face Recognition Algorithm based on Hadoop Technique" .
• PI, "Face Detection Acceleration using CPU and FPGA Heterogeneous System".

Representative Outcomes: (see students)

• "Automatic Photo-Tagging Systems on Smart Phones",

3. Artificial Intelligence

She was also interested in distributed systems though she is not pretty active in this area yet.

Interested Projects:

• "Monitoring on Grid/Web Services", supported by Research Foundation of Ministry of Education of China and National Science Foundation of China (NSFC).

Representive Outcomes: (see full publications)

• Xiaoying Huang, Jianjun Wu, "Digital Visible Light Communications System based on LED", June 2009