upennyayang/gs-rest-service
Building a RESTful Web Service :: Learn how to create a RESTful web service with Spring.
Developer Profile
upennyayang
Discovered public repositories for upennyayang in the GitHub catalog.
upennyayang/playframework
Play Framework
upennyayang/makeup
client-side static site generator / transformer
upennyayang/hello-worlds
A bunch of testing to test the functionalities of GitHub.
upennyayang/AWS-SDK-for-WP
Windows Phone 7 SDK for Amazon Web Services
upennyayang/implicit-sentiment-lexicon
Analyzed implicit sentiment expressions in text based on context co-occurrence to improve opinion mining performance.
upennyayang/multicore-processor-model
Designed and implmented a multicore processor in C, including a pipeline, branch predictor, and caches.
upennyayang/personal-website
My personal website implemented from scratch. Maven. Google App Engine.
upennyayang/new-york-times-summarization
• Performed natural language processing and data mining on the New York Times, like topic classification, documents summarization.
upennyayang/intrusion-detection-system
Created a security tool in Java, which is capable of monitoring traffic to or from a single host on network.
upennyayang/security-distributed-banking
An ATM-Bank model in JAVA, offering authenticity, confidentiality, integrity and safety against all kind of man in the middle attacks.
upennyayang/software-testing-and-quality-assurance
Performed JUnit testing, fault localization, and redesign for four company's code.
upennyayang/android-mobile-applications
An Evernote like file synchronizer, a full-fledged coffee-cooler, and a typing game.
upennyayang/wallstreet-journal-crowdsourcing-website
A website in PHP and MySQL analyzing people's interest on The Wall Street Journals aiming to enhance the text quality of opinion mining. This helped win 2012 Google Best Paper Award.
upennyayang/olympics-database-web-application
A creative multiplayer web game based on 2012 Olympics dataset deployed on Google App Engine.
upennyayang/twitter-social-web-mining
An innovative six-class classification model and web application that is able to predict sentiments of tweets around you.
upennyayang/markup
The code we use to render README.your_favorite_markup
upennyayang/amazon-data-mining
A prediction system that can automatically guess the star ratings trained from 100,000 reviews on Amazon.com.