I am Bin Wang, a third-year Ph.D. student in machine learning and natural language processing at USC. My advisor is C.-C. Jay Kuo.

Before coming to USC, I received his Bachelor’s degree in Electronic Information Engineering from University of Electronic Science and Technology of China (UESTC), Chengdu, China in June, 2017.


  • Natural Language Processing
  • Subspace Learning
  • Statistical Machine Learning
  • Word and Sentence Embedding


  • PhD in ECE, 2017 - Now

    University of Southern California

  • M.S. in ECE, 2017 - 2019

    University of Southern California

  • B.Eng in EE, 2013 - 2017

    University of Electronic Science and Technology of China



Teaching Assistant


Sep 2018 – Present California
  • Spring 2020 - EE155L - Introduction to Computer Programming for Electrical Engineers
  • Fall 2019 - EE141L - Applied Linear Algebra for Engineering
  • Spring 2019 - EE483 - Introduction to Digital Signal Processing
  • Fall 2018 - EE483 - Introduction to Digital Signal Processing

Research Assistant


Jul 2017 – Sep 2018 California
  • Video Captioning
  • Video Summarization
  • Video Communication

Research Internship

Ontario State University, Canada

Jul 2016 – Oct 2016 Toronto, Canada
  • Applied hand gesture recognition technique on RGB-Depth real time video
  • Integrated our system with Kinect Sensore and Turtlebot Robot
  • One paper publised in Mechatronic Systems and Control

Exchange Student

City University of Hong Kong

Sep 2015 – Jan 2016 Kowloon, HK
  • Video Captioning
  • Video Summarization
  • Video Communication

Recent Posts

Several Bullets to keep in mind!

- Keep Track of Time Sometime, people get lot when there is a long-term goal. When we can not get feedback immediately when pouring our …

Recent Publications

Evaluating Word Embedding Models: Methods and Experimental Results

Extensive evaluation on a large number of word embedding models for language processing applications is conducted in this work. First, …

Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding

Language processing becomes more and more important in multimedia processing. Although embedded vector representations of words offer …

K-Covers for Active Learning in Image Classification

Deep learning has shown its effectiveness in various computer vision tasks. However, a large amount of labeled data is usually needed …

Deepwalk-assisted Graph PCA (DGPCA) for Language Networks

Language graph learning is an important task with many applications such as text classification, link prediction and community …

Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification

A novel graph-to-tree conversion mechanism called the deeptree generation (DTG) algorithm is first proposed to predict text data …

Recent & Upcoming Talks

ICME 2019

Presenting Papers


Finish Book: Machine Learning/机器学习



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