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Yingjie Liu's Projects

angel-classification icon angel-classification

Teeth are classified into 3 types by Angel in Orthodonics. This project get an input of teeth picture shot from the right of a persion, and judge the type by angel's principle. I proposed two method for teeth classification: histogram and super-pixel.

bond_trading icon bond_trading

bond_trading is a bond trading software. This software imitates the bond trading process: a simulator generate 4 kinds of messages: sell, buy, bid, offer, and the back-end receive the message, after having processed the message, it will return a result to the simulator

cluster icon cluster

Machine Learning K-Means cluster algorithm in Java

digikam icon digikam

digiKam is an advanced digital photo management application for KDE, which makes importing and organizing digital photos a 'snap'.

evoplex icon evoplex

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

express-helper icon express-helper

Express-helper is a web service application. It used to help people to get their expresses if they don't have time. The software contains three part: back-end database, android application

movierec icon movierec

A movie Recmmendation website----course homework

no-more-queue icon no-more-queue

No-More-Queue is a data processing software. It's used for process the data from the canteen, using regress forecasting and cluster algorithm. In regression forecasting, the software will forecast the income in the next week for every window. In cluster, the software will get the connections between windows.

p2p_dht icon p2p_dht

This is a P2P Distributed Hash Table written with Linux C.

stl_reader icon stl_reader

The program can read and show the object from the .stl file using opengl. The user can rotate, zoom and pick the fragment.

super-resolution-image icon super-resolution-image

This is an algorithm about how to get super-resolution image from a single image, which is described in the paper "Glasner, Bagon, Irani - 2009 - Super-resolution from a single image"

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