Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Natural Language Processing
graduate course, National Kaohsiung University of Science and Technology, 2021
Course Description
The course mainly introduces the theories and applications of Natural Language Processing (NLP). This course starts from basic concepts of NLP to the-state-of-the-art NLP algorithms such as transformer. Also, this course will introduce how to apply the concepts that learnt in this course to task-oriented dialog system.
Reinforcement Learning Spring 2022
Graduate course, National Kaohsiung University of Science and Technology, 2022
Course Description
Reinforcement Learning (RL) is applied to many applications such as dialog system, robotics, and AlphaGo. RL mimics the learning behaviors of human beings and endows the system with the ability to learn through the trial-and-error method. The course will introduce the foundamental theories and the advanced theories of RL. We will start from Markolv decision process to deep RL. Moreover, we will introduce the applications of RL. More specifically, we focus our applications on dialog systems. After this course, students will have foundamental concepts to do RL research.