Zhongyu Wang

ZHONGYU WANG

Email: adwld0@r.postjobfree.com Phone:202-***-****. Location: 520 12th Street, Arlington, VA, 22202 Education Background

The George Washington University, Washington DC May 2023

Master of Computer Science GPA: 3.66/4.0

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Jilin University, China Jun 2020

Bachelor in Tang Ao-qing Honors Program in Computer Science GPA: 3.26/4.0 Job Experience(full-time)

Research Specialist in the College of Computer Science and Technology, Jilin University, China Sep 2020-Jul 2021

Crawled movie review data, parsing with Beautifulsoup, and sentiment Analysis.

Implemented a recurrent neural network that can predict if the text of a movie review is positive or negative.

Bypasses the anti-crawling mechanism of the website by using Selenium to simulate a browser to search and crawl specific product information on e-commerce websites. Research Experience

Stock Trading System in Chinese Market, GWU, Washington DC Apr 2022-Dec 2022

Build an automated backtesting system with python to analyze financial data and test stock trading strategies from relevant academic papers and documents.

Used Deep Learning methods (Tensorflow) to generate indicators and find stocks that are likely to skyrocket soon.

Combined CNN and LSTM to weaken the instability of stock price data and extract effective features.

Added concepted information of stock with GNN into the model. Stock prediction based on sentiment analysis of tweets, GWU, Washington DC Jan 2022-Apr 2022

Processed tweets data and found the relationship between sentiment analysis results and company stock price changes. Lost remind system, GWU, Washington DC Sep 2021-Dec 2021

Proposed an algorithm to identify the owner of the item in the video.

Lead the team to establish a Lost Remind System with AI technologies, and solved the problem of leftover items in classrooms, laboratories, and other places.

Design of Functional Language Machine Compiler for Image Processing Algorithm Nov 2019-Jun 2020

Summarized related academic papers and improved the SURF in practical application and reduced calculation time by 20%.

Prediction Model of Thyroid Papillary Carcinoma, Jilin University, China Mar 2018-Mar 2019

Improved the LBP algorithm to reduce the number of features by 80% according to the characteristics of ultrasound images.

Screened features with statical methods like t-test, and sort features with RFE

Used SVM, KNN, DTree, NBayes to build prediction models with Scikit-learn, and evaluated them with cross- validation.

Study on the Impact of Methylation Data on the Prediction of Lung Cancer at Gene Level Jun 2017-Jul 2018

Proposed the idea of merging methylation data at the gene level to reduce feature dimension.

Screened features with statical methods like t-test, and sort features with RFE.

Built predictive models using machine learning methods such as SVM. Study on the Impact of Gender on Cancer Prediction Model Mar 2017-Jul 2018

Preprocessed data using methods such as normalization. Publications

Integrating Five Feature Types Extracted From Ultrasonograms to Improve the Prediction of Thyroid Papillary Carcinoma, IEEE Access, DOI: 10.1109/ACCESS.2019.2929237 Zhongyu Wang

The Transverse Ultrasonogram of Thyroid Papillary Carcinoma Has a Better Prediction Accuracy Than the Longitudinal One, IEEE Access, DOI: 10.1109/ACCESS.2019.2926377

Gender Specificity Improves the Early-stage Detection of Clear Cell Renal Cell Carcinoma based on Methylomic Biomarkers, Biomarkers in Medicine, DOI: 10.2217/bmm-2018-0084

Proteomic Biomarkers for Lung Cancer Progression, Biomarkers in Medicine, DOI: 10.2217/bmm-2018- 0015

Programming languages

PYTHON3, SQL, C, C++, Java…

Algorithms and packages

Machine Learning, Neural Networks, Feature selection, Computer Vision…

Scikit-learn, NLTK, Pandas, NumPy, SciPy, OpenCV, TensorFlow, PyTorch … Natural languages

English, Chinese.

Skill s