Sanqiang - Overview

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Research Interest: Natural Language Processing, Deep Learning, Machine Learning, Data Mining

  • University Of Pittsburgh

  • 135 N Bellefield Ave # 707, Pittsburgh, PA 15213

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  1. Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.

    Python 68 13

  2. My Deep Learning Research Papers

    14 11

  3. My Entity Embedding Project

    C++ 3 3

  4. My Practice on the Data Structure and Algorithm(C++/Java). Note: In the home folder, C++ code for cracking code interview, and in the Algorithm-Java is Java code for Leet Code cracking code interview

    Java 7 7

  5. My Practice on the Data Structure and Algorithm(C++/C#/Java) Note: In the Algorithm is C# code for cracking code interview and Algorithm/Microsoft is C# code for 100 Microsoft Question.

    C# 1 2