Projects

Git Hub

$ git init

$ git remote add sludecoder https://github.com/kaishengyao/sludecoder.git

$ git fetch sludecoder

$ git commit -m 'add finance'

$ git push sludecoder

Refer to git tutorial.

Side Projects

I am interested in Ardiuno.

Spark and Scala

I installed Spark and Scala in the following processes on Windows 8.

1) go to http://spark.incubator.apache.org/docs/latest/index.html, and wget the package

$ mkdir package

kaisheny@KAISHENGLP1 /cygdrive/c/package

$ wget http://d3kbcqa49mib13.cloudfront.net/spark-0.8.1-incubating.tgz

2) install git for windows, Java and SBT, Scala Eclipse IDE (version 2.10.2)

3) unpack it and run sbt\sbt assembly under unpacked directory. Need to run sbt\sbt assembly twice if the error is out of memory.

I spent some time on spoken language understanding. Jan/2013 - Dec/2013.

Conversational Understanding Language Expansion at Microsoft

Microsoft is developing a new conversational understanding team in China. You will be in a scientist team, working on challenging problems related to spoken language understanding, speech recognition, machine translation, data mining, and information retrieval. You will work closely with our partners to improve the quality of online products such as Bing Search, Advertisements, Knowledge, and speech understanding. You will be responsible for applying solid knowledge of statistics, machine learning, and algorithms to develop conversational understanding algorithms and systems that reach many countries and applications. You will also be responsible for publications and inventions that showcase Microsoft reputation in this rapidly developing research and development area of conversational understanding. There are plenty of opportunities for career advancement.

Your main responsibility will be including but not limited to

· Apply and invent technologies for language understanding

· Apply and invent technologies for language expansion

· Apply and invent technologies for domain scalability

· Improve and implement reliable and scalable training infrastructures for training speech understanding models, machine translation models, language models, and dialog models.

We are looking for motivated and energetic engineers and scientists, preferably with strong background in one or more of the following areas

· Machine learning (neural network, CRF, SVM, HMM, etc.),

· Speech recognition

· Natural language processing

· Statistics

· Machine translation

Email your CV to kaisheny@microsoft.com, mehwang@microsoft.com, or wiwe@microsoft.com today and join us to create history in China.