Shaoyong Wang Email : adb1tz@r.postjobfree.com

https://github.com/littleheap Address : 1 Du eld Apt, Brooklyn, New York Mobile : +1-646-***-****

Targeting a software engineer internship position in summer 2020 Education

New York University New York, USA

Master of Science in Computer Engineering; GPA: 4.0/4.0 (Present) Sep. 2019 { June. 2021(Expected)

Central South University Changsha, China

Bachelor of Science in Computer Science; GPA: 3.75/4.0; Rank: 9/130 Sep. 2015 { June. 2019 Skills

Programming Language: Python -Leetcode300+, Java, C++

Database: Oracle, MySQL

Application: PyCharm, IntelliJ IDEA, Eclipse, Git Experience

UCLA-Remote Research Assistant Changsha, China

Remote Research Assistant (Python) May 2018 { Oct 2018

Hyper-spectral Image Classi cation: Realized and tested various combinations’ performances of di erent domain features with reduction algorithms. Used the spatial-spectral features to train multiple feature classi ers and con rmed the best performance of BLDE-CNN classi er with 6000+ lines of code.

O set Algorithm: Proposed the new O set Algorithm to improve the classi cation rate to the 96.8% in the feature fusion domain.

Institution of Automation, Chinese Academy of Sciences Beijing, China Research Camp (Python/Matlab) Oct 2017 { Nov 2017

Style Transfer: Acted as team leader to complete style-transfer and basic object-tracking projects, researched related advanced papers, reestablished and improved neural network frame through coding, and proposed modi ed thoughts which accelerated the training time by 20%+.

Beijing Deniu Technology Co., Ltd. Beijing, China Android Development Internship (Java) Jun 2017 - Aug 2017

Information Platform Module: Took charge of Android front-end and back-end development, system base development, and product design improvement of this module. Assist to complete the module, and co-developed functions for user privacy protection which avoids the risk of information disclosure.

Contact List Module: Optimized the logical relationship between the front and back of the contact list module, and eliminated the update delay between the database and the terminal. Projects

Music Recommendation System: Implement music recommendation system using collaborative ltering on big datasets from Netease Cloud Music. Handle each problem detail about data preprocessing, model building step by step and nally nished a complete system using numpy and sklearn.

Competitive Key Word Recommendation Algorithm: Implement Competitive Keyword Algorithm based on Sogou search engine dataset using pandas and Jieba.

Click-Through-Rate Prediction: In the Tencent Mobile App Advertising Conversion Rate Competition, apply di erent machine learning models to complete CTR prediction, including implementing the Random Forest Model and XGBoost Model from sklearn package to the given dataset.

Transfer Learning for Flowers Classi er by VGG16: Apply Transfer Learning algorithm to implement the classi cation of

ower categories from VGG16 data using TensorFlow. Publications

Incremental Temporal Frequent Pattern Mining Based on Spark Streaming Yijian Zhao, Fang Huang*, Shaoyong Wang, Chunxiu Du, Chengyuan Zhang

Research Hotspots Evolving Action Detection based on Time Sequence Journal Topic Model Chunxiu Du, Fang Huang*, Shaoyong Wang, Yijian Zhao, Chengyuan Zhang

Contact this candidate