National Chung Cheng University

Computational Visual Cognition Laboratory

Wei-Yang Lin
https://www.cs.ccu.edu.tw/~wylin/

Research Field

Information Engineering (Information)

Introduction

Wei-Yang Lin received a B.S. degree in electrical engineering from National Sun Yat-sen University in 1994, and M.S. and Ph.D. degrees in electrical engineering from the University of Wisconsin-Madison, USA, in 2004 and 2006, respectively. He was an assistant professor and associate professor with the Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, from August 2006 to July 2017. Since August 2017, he has been a professor with the same department, in which he served as the department chair from August 2019 to July 2022. He also served as the Director of the Division of International Development, Office of International Affairs, National Chung Cheng University, from April 2015 to July 2019. He has published more than 70 journal and conference papers, and holds four Taiwan patents, and one U.S. patent. His research interests include pattern recognition, multimedia signal processing, and medical image analysis. He is a life member of the Taiwanese Association for Artificial Intelligence and a member of the Chinese Image Processing and Pattern Recognition Society. In the technical society, he is a member of the Machine learning, Deep learning and AI in CE Technical Stream Committee of the IEEE Consumer Electronics Society. He also participated in the program committees of many international conferences.

Our labratory focuses on pattern recognition, multimedia signal processing and their applications.


Research Topics

Pattern Recognition, Multimedia Signal Processing, Medical Image Analysis, Edge Computing.


Honor
  1. ACEAT 2015 Best Paper Award
  2. NCWIA 2018 Best Paper Award

Educational Background

Wei-Yang Lin received a B.S. degree in electrical engineering from National Sun Yat-sen University in 1994, and M.S. and Ph.D. degrees in electrical engineering from the University of Wisconsin-Madison, USA, in 2004 and 2006, respectively.


2 Vacancies

Job Description

This internship opportunity is open for students who are interested in pattern recognition and deep learning technologies. Intern students will need to read recently published papers and implement those proposed neural network architectures. Please prepare your CV and feel free to contact me for the details.

The intern students will have opportunity to participate in the ongoing research projects and publish papers with the members in our laboratory.

Preferred Intern Education Level

3rd or 4th year undergraduate students 

Skill sets or Qualities

  1. Python programming
  2. Background knowledge in pattern recognition and deep learning
  3. Good English communication skills