>>> me = mathematics.extend( computer_science.machine_learning ).emphasize(bigdata)
>>> print me

Hi. I'm Hao Liu.

And this is my One Page WebSite, including short decriptions of my projects, skills and contact information.

Let's go! >>>Follow the blue buttons to go through this page.

If you want to learn more about me,

Go To My Blog Detailed Website Resume
>>>Green buttons to other pages.

The big data era is coming.

I'm preparing myself to face the challenges and seize the opportunities.

Mathematic

  • >>> Mathematical Softwares
    (MATLAB, Mathematica, Latex, Gnuplot)
  • >>> High Performance Computing
  • >>> Numerical Methods
  • >>> Statistical Analysis
  • >>> Differential Equations
  • >>> Mathematical Analysis

Computer Science

  • >>> Graphic Models
  • >>> Deep Learning
  • >>> Natural Language Processing
  • >>> Motion Capture
  • >>> (Un)Supervised Machine Learning
  • >>> Database(SQL & NoSQL)
  • >>> C/C++, Java, Python, Lua, Objective-C
  • >>> Alogrithms and Data structures

Big Data

  • >>> Mapredue(Hadoop, Hive, Pig)
  • >>> Cloud Computing
    (AWS: EC2, EBS, S3, DynamoDB,ets
    Google Cloud: Appengine, Datastore
    )
  • >>> Mobile Computing: iOS(Objective-C)
  • >>> Parallel Computing
    (GPGPU(CUDA/OpenCL), MPI, OpenMP)

Talent wins games, but teamwork and intelligence wins championships.

--Michael Jordan


Working in group projects is one of my favorite ways to work and learn .

AWS Cloud Computing iOS Application

Built an iOS application from scratch with Amazon AWS supporting for searching the nearest markets with wanted foods available.
>>>>Used AWS EC2, Elastic Beanstalk, S3, Dynamo DB, IAM, STS, etc.

Deep Learning on Natural Language Processing

From scratch, built a new Recurrent Neural Network (feature learning based) for Part of Speech task, which can be seen as a RNN base HMM model. Beat the normal HMM and almost beat the HMM with many human designed features.
>>>>I designed the model and implement the main part of RNN.

Scalable and Parallel Regularized Greedy Forest (RGF) on Hadoop

Under supervisor John Longford (Microsoft Research), use Hadoop to parallel the RGF algorithm. By reading and modifying the RGF code (16000 lines), we finally get 4 times speed-up with 12 Hadoop nodes.
>>>>John commented it as difficulties one in all final projects he proposed, and we finished it well..

Want to hire me? Get in touch!