

Bingyu Wang


Bingyu Wang is a PhD student in the Computer Science program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Javed Aslam. Bingyu earned his bachelor’s degree in engineering from Northwest University, in China, and he earned his master’s degree in computer science from Northeastern University.
Bingyu arrived at Northeastern in the spring of 2015 to begin his PhD program. He has been involved in a Multi-label classification problem of machine learning for more than half a year. Bingyu’s research focuses on machine learning and document classification. His research areas also include natural language processing, information retrieval, and software engineering. He is a part of the Applied Machine Learning Group at Northeastern.
My PhD program started in the spring of 2015. Currently, I am taking PhD required courses. Besides, I have been involved in a Multi-label classification problem of machine learning area for more than half year.
My undergraduate major was software engineering, which is to design, implement and maintain programs to solve the problems in general. To further improve myself, my PhD research focuses more on a particular area: machine learning/document classification.
As before, I apply the same idea as a software developer and try to design, implement, and test machine learning models to solve real-world problems.
Currently, I am working on a Multi-label classification problem, which is also the one I want to solve.
For the current Multi-label problem, we came up with a very simple idea, but it works much better than most existing methods.
Since data is becoming more and more valuable, I hope to use machine learning to make data even more valuable.
Bingyu Wang is a PhD student in the Computer Science program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Javed Aslam. Bingyu earned his bachelor’s degree in engineering from Northwest University, in China, and he earned his master’s degree in computer science from Northeastern University.
Bingyu arrived at Northeastern in the spring of 2015 to begin his PhD program. He has been involved in a Multi-label classification problem of machine learning for more than half a year. Bingyu’s research focuses on machine learning and document classification. His research areas also include natural language processing, information retrieval, and software engineering. He is a part of the Applied Machine Learning Group at Northeastern.
My PhD program started in the spring of 2015. Currently, I am taking PhD required courses. Besides, I have been involved in a Multi-label classification problem of machine learning area for more than half year.
My undergraduate major was software engineering, which is to design, implement and maintain programs to solve the problems in general. To further improve myself, my PhD research focuses more on a particular area: machine learning/document classification.
As before, I apply the same idea as a software developer and try to design, implement, and test machine learning models to solve real-world problems.
Currently, I am working on a Multi-label classification problem, which is also the one I want to solve.
For the current Multi-label problem, we came up with a very simple idea, but it works much better than most existing methods.
Since data is becoming more and more valuable, I hope to use machine learning to make data even more valuable.