Hi! This is Shuo Xu.
Currently studying Statistics with Data Science in the University of Edinburgh for Master degree.
About Me
- 2019/09 - 2020/08 School of Mathematics, University of Edinburgh, UK.
MSc Statistics with Data Science - 2015/09 - 2019/06 School of Economics, Inner Mongolia Normal University, China.
B.S. in Economics - 2015/09 - 2019/06 Computer and Information Engineering College, Inner Mongolia Normal University, China.
B.Eng. in Computer Science - My research interests include Computer Vision, Data Science, Machine Learning, Deep Learning.
- For more information about me, please refer to the CV.
Research
Research on Image Processing Technology of Computer Vision Algorithm
- Designed a system for the computer vision display used by an intelligent interactive true three-dimensional display device, which uses information analysis.
- Explored image distortion correction algorithms by using computer vision algorithms at the current stage.
- Publication: 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL2020) as full paper.
Comparative analysis of machine learning methods for measuring equity risk premiums
- Conducted analysis of machine learning methods including generalized linear models, dimension reduction techniques, boosted regression trees, and random forest.
- Proposed Neural networks were the best performing nonlinear method and predictor overall.
Research on the application of machine learning in plant classification
- Researched on Machine Learning techniques applied to the analysis of plant dataset using Keras and Tensorflow.
- Processed the plants data features through Cross-Validation Approach.
- Classified the plant samples using Machine Learning’s models (CNN, SVM).
Projects
Categorical Feature Encoding Challenge II (Kaggle 34/1161) (2020)
In this competition, we used Pandas, Matplotlib to do data cleaning and removed abnormal rows, then conducted exploratory data analysis (EDA) on training data and created some features like combined features, frequency features, statistical features. We designed and tested blending and stacking method for model fusion based on XGBoost, LightGbm models to get final result.
Exploring the quality and physicochemical characteristics of Portuguese Vinho Verde wine (2020)
In this project, I used Imbalanced-Learn to deal with data imbalance problem, and conducted exploratory data analysis (EDA) on training data and use one-hot encoding processing in sequence classification problems. I designed and tested Voting Classifier models blending RF, Gradient Boosting Classifier and Extremely Randomized Trees models to improve the prediction accuracy of the model.
Publications
Conference Papers
- Zhang Xin, Xu Shuo, "Research on Image Processing Technology of Computer Vision Algorithm" in 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL2020).
- Zhang Zichen, Xu Shuo and Hawking Yan, "Preliminary Study on Application of Artificial Intelligence Technology in Electrical Automation Control" in 2020 International Conference on Computer Information and Big Data Applications(CIBDA2020).
- Ma Chao, Yi Xianyong, Yu Chenglong, Xu Shuo, Li linyi, "Research on Image Classification Method Based on DCNN" in 2020 International Conference on Computer Engineering and Application(ICCEA2020).
- Zhang Zichen, Xu Shuo and Hawking Yan, "Preliminary Study on Application of Artificial Intelligence Technology in Electrical Automation Control" in 2020 International Conference on Computer Information and Big Data Applications(CIBDA2020).
Extracurricular Activities
As A Team Leader in International Competition
:: Leader of "GSEC" International Social Enterprise Entrepreneurship Competition ::
As the leader, I coordinated a team of 8 people to complete research and data analysis on social enterprise entrepreneurship related cases in New York, Boston, Philadelphia, Washington, compiled a 20,000 word business planning report, and our team ranked second in the final through expressive speeches against the eight teams in the final competition.
Visit the United Nations
Group photo of our team
As A Team Leader in New York Morgan Stanley Business Plan Competition
As the leader, I coordinated a team of 8 people to data research and data analysis in the securities investment fund industry within 72 hours and built a product positioning statement and matrix model, and participated in the International Business Plan Competition supported by the Morgan Stanley Group and won the second prize in the finals..
As A Photographer
I love grabbing my camera and finding subjects to photograph.
As A Volunteer in UN Refugee Agency
I organised and held the charity bazaar, obtaining around $500 donations. As the leader of a team participated in public work responsible for the implementation of the New York Charity Auction which raised a total of $4,100 donated to the UNHCR(The United Nations High Commissioner for Refugees).
