About
Activity
3K followers
Experience & Education
Courses
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Advanced Web Programming
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Algorithm Analysis
CSCI570
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Complex Variables and Application
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Data Management
INF551
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Data Mining
INF553
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Data Structure and Algorithms
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Database and application
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Internet Application
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Internet Protocal
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Java Programming
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Linear Algebra
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Machine learning
INF552
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Management Information System
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Probability and Statistics
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Software Engineering
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Projects
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Collaborative Filtering Algorithm Based Video Recommendation System
• Developed a Collaborative-Filtering video products recommendation system based on 4.6 million user ratings data
• Implemented recommendation system with Scala and Spark RDD (MapReduce) based on Jaccard and Cosine similarity
• Integrated LSH (Locality Sensitive Hash) algorithm to improve efficiency of recommendation system by 10%
• Implemented SON algorithm and other optimization to improve accuracy and achieve the RMSE value from 1.4 to 0.9
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Real Time News Website
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• Built data pipeline with Python, RabbitMQ and MongoDB to scrap, monitor and dedupe latest news from various sources
• Designed and implemented a news website with Node.js and React to allow user browsing and searching news
• Applied TensorFlow and CNN algorithms to implement offline news topic modeling pipeline, and integrated TenserFlow Serving with website server to implement online news recommendation system -
Cloud Server-Based Language Partner Android Application
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• Developed the Android application in Java to allow users practice oral English with functions of conversation appointment system, user comments system and instant messages system
• Designed and implemented the user interface in Android Studio with XML and Android UI layout
• Implemented the web service and database in cloud server -- Firebase (NoSQL database)
• Implemented automatic language partners matching system with machine learning k-means algorithm
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D3-Based Chinese Tourism Data Visualization
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• Developed a web-based interactive tourism visualization system to allow users view tourism information in different
forms, such as geographic heatmap and Treemap
• Applied Python Scrapy and Beautiful Soup to scrape and extract data from tourism websites, and stored data in MongoDB
• Implemented visualization graphs with D3.js and Google Maps API, and built final visualization website with Angular2
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Tourism route arrangement system
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• Realized train route arrangement system with agile software development methodology, including requirement analysis, design, implementation and test
• Implemented functions in Java, developed user interface with Java GUI Swing and tested the final system with JUnit
Honors & Awards
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Honorable mention for 2016 MCM/ICM
Consortium for Mathematics and Its Applications,COMAP
Problem D: Measuring the Evolution and Influence in Society’s Information Networks
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