Professor U Kang's Laboratory, Selected for SW Star Lab of 2020



▲ Professor U Kang (SNU)

 
 
1.Summary of the full article
 
The Data Mining Laboratory, led by Professor U Kang, was selected as the final "2020 Software Star Lab" by the Ministry of Science and ICT. With the support of the SW Star Lab project, Professor U Kang's team of researchers is conducting their research on "development of flexible and efficient model compression technology supporting various applications and environments."
 
2. Specific details about their achievements 
 
The Ministry of Science and ICT announced on the May 22 that seven research labs were selected for "2020 Software Star Lab." A total of seven laboratories from four universities - Seoul National University, Korea University, Soongsil University and the Korea Advanced Institute of Science and Technology - were named. SW Star Lab is a business that supports the development of master's and doctorate-level software talent that will lead software innovation along with securing basic and original technologies in five major software technologies such as artificial intelligence, big data, cloud, application SW, and algorithms. So far, it has produced 234 top-notch personnel, including 141 master's degrees and 69 PhDs. A total of 36 laboratories, including 10 in 2015, have been selected and operated through an open SW method. A total of 42 laboratories applied for SW Star Lab this year, recording a 6:1 competition rate, higher than the previous year's 4.5:1.
 
Based on the support of SW Star Lab's project, U Kang's research team will conduct research on "development of flexible and efficient model compression technology supporting various applications and environment."Due to the recent acceleration in the growth of deep learning models, it is difficult to utilize deep learning technologies in limited environments such as mobile devices and IoT. This study investigates the technique of designing and learning the light-weighted deep learning model, and compressing it when an already learned model is provided. In particular, they are conducting independent research that efficiently compresses models when training data is scarce. It is expected that research results will be applied to mobile AI, embedded system, and edge computing.
 
Lab homepage: https://datalab.snu.ac.kr/
 
[Contact information for any queries or inquiries]
SNU COllege of Engineering Department of Computer Science and Engineering Jaemin Yoo jaeminyoo@snu.ac.kr