My research interest covers machine learning, especially deep learning, in which I seek innovation and inspiration from the essence of human being's intelligence. I also dabble in data mining, computer graphics and data visualization. I'm also interested in psychology and their neural basis. I participated in a number of course projects, research projects and real-world projects during my undergraduate study (see Undergraduate Projects).
The following is a selected version of my bio. (see also my resume)
Education & Professional Experience
|2013.9 - Present||Master of Science & Research Assistant, Computer Science Department, Stanford University|
|2012.7 - 2013.6||Research Assistant, State Key Laboratory of Intelligent Technology & Systems, Department of Computer Science and Technology, Tsinghua University|
|2008.8 - 2012.7||Bachelor of Engineering, School of Software, Tsinghua University (Excellent Graduate)|
- CS 224s Spoken Language Processing, Spring 2014 (Check out Homework 3 I designed)
- CS 145 Introduction to Databases, Summer 2014 (Better Homeworks I created)
Recent publications (see full list)
- Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng. Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. In arXiv, 2014. [HTML]
- Xiaolin Hu, Jianwei Zhang, Peng Qi, and Bo Zhang. Modeling Response Properties of V2 Neurons with a Modified K-Means. In Neurocomputing, 2014.
Honors and Awards
- 2012 Outstanding Graduate of Tsinghua University
- 2011 National Scholarship (top 3% students)
- 2010 Citibank Scholarship (for overall excellence)
- 2009 Ge-Ru Zheng's Scholarship (for study excellence)
- 2008-2011 Freshman Scholarship (Ranked 3rd of Guizhou Province in National College Entrance Exam)
Work Experience and Social Service
- 2013-2014 Backend Engineer & Machine Learning consultant (Part-Time), Soulgame.com, Beijing
- 2010-2011 Vice President of Students' Union, School of Software, Tsinghua University
- Oct. 30, 2013 - Outer-product letter accepted by Neural Computation.
- Dec. 6, 2012 - Hierarchical K-Means paper won Best Paper Award in ICONIP 2012. See publications for details.