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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
awards
Grand Prize(KSC 2020)
Analysis of Input Pipeline Overhead for Training Image Classifiers with Data Augmentation
industry
Software Dev Engineer I Intern
Software Dev Engineer I Intern
- Summer 2021
- Amazon Alexa Organization
- Intern Project:
- Developed a multimodal Alexa skill that provides an optimized interactive user experience via utilization of implicit contextual information.
- Established a scalable webapp infrastructure incorporating AWS services: Lambda, DynamoDB, S3, CloudFront, etc.
- Leveraged AWS Rekognition to utilize computer vision techniques in identifying the contextual data .
papers
Analysis of Input Pipeline Overhead for Training Image Classifiers with Data Augmentation (KSC 2020)
Recommended citation: Irene Lee (Georgia Tech), Gyewon Lee(Seoul National University), Byung-Gon Chun.
Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training (USENIX ATC 2021)
Recommended citation: Gyewon Lee, Seoul National University and FriendliAI; Irene Lee, Georgia Institute of Technology; Hyeonmin Ha, Kyunggeun Lee, and Hwarim Hyun, Seoul National University; Ahnjae Shin and Byung-Gon Chun, Seoul National University and FriendliAI
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
Im2Vec : A Language Model Approach to Understanding Image Classification
Published:
Group Project (PyTorch)
Drawing Panel
Personal Project (Java)
Farm Fever
Group Project (Java)
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
research
Lemotif
Computer Vision Project
Systems for Artificial Intelligence Lab(SAIL)
Research Lab focused on Systems for Training/Inference of Deep Learning
Social Language and Technolgoies(SALT) Lab
Research Lab focused on Social NLP
Research Intern at Seoul National University
Low Level Optimization for Deep Learning [Python・PyTorch]
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
Teaching Assistant
CS 1332, Georgia Institute of Technology, College of Computing, 2020
Teaching Assistant
- Summer 2020
- Georgia Institute of Technology
- CS 1332 - Data Structures and Algorithms
- The class covers basic data structures including queue, stack, tree, and heap, and also algorithms related to graph and dynamic programming.
Teaching Assistant
CS 2110, Georgia Institute of Technology, College of Computing, 2021
Teaching Assistant
- Spring 2021
- Georgia Institute of Technology
- CS2110 - Computer Organization and Programming
- Led labs and hold office hours for the class. The class covers basic structure and operation of a modern computer. Main topics include digital circuits, machine language instructions, and C programming.