Projects

Practical TensorFlow Applications in Deep Learning

the project applies several deep learning models with TensorFlow to solve practical problems. After some trivial practices, it mainly focuses on applying Convolutional Neural Network (CNN) to computer vision problems. I tried to use different tools to solve overfitting, including Image augmentation, Dropout and transfer learning. Source codes： https://github.com/quchuyuan/TensorFlow_trainning

Machine Learning for Higgs Boson Detection

Discovery of the long awaited Higgs boson was announced July 4, 2012. The goal of the project is to explore the potential of advanced machine learning methods to improve the discovery significance of the experiment. Using simulated data with features characterizing events detected by ATLAS, our task was to classify events into “tau tau decay of a Higgs boson” versus “background.” 

Outcome: Mathematical Principles of Machine Learning for Higgs Boson Detection

Haitong Securities Internal System Project

Haitong Securities is one of the earliest securities companies and is one of the securities companies boasting the strongest and I was responsible for internal system maintaining: Frontend testing, Java web developing, Database.
Core Codes

Final Year Research Project

To study Eigenvalue Problems of Infinite Matrices and Applications. The research mainly focused on the application derived from lattice models used in physics.

Outcome: Eigenvalue Problems of Infinite Matrices and Applications