Personal Information
Organization / Workplace
Hong Kong, Hong Kong S.A.R. Hong Kong
Occupation
Associate Prof.
Industry
Education
Website
www.cse.ust.hk/~hunkim
About
Sung is an associate professor at the Hong Kong University of Science and Technology. He was a post-doc at the Program Analysis Group at MIT. He received his Ph.D. (thesis: Adaptive Bug Prediction By Analyzing Software History) in the Computer Science Department at the University of California, Santa Cruz. He has worked for Nara Vision Co. Ltd which is one of the leading Internet software companies in Korea for six years as a CTO. His research area is Software Engineering, focusing on software evolution, repository data mining, development social network mining, program analysis, and empirical studies. His chief research interest is programmer productivity, in particular, identifying faults
Tags
defect prediction
deeplearning
software testing
fse
hkust
crash
software engineering
developers
icse2011
deep api
tensorflow
machinelearning
tensorboard
software evolution
debugging
stackoverflow
machine learning
commit
msr
bug fault localization
sna
survey
changes
software development process
tao
intelligence code search engine
instant code search
tossing
bug triage
kenyon
dsn2011
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Presentations
(45)Likes
(80)TinyBERT
Hoon Heo
•
3 years ago
작고 빠른 딥러닝 그리고 Edge computing
StellaSeoYeonYang
•
4 years ago
NLP Deep Learning with Tensorflow
seungwoo kim
•
6 years ago
Tensorflow for Deep Learning(SK Planet)
Tae Young Lee
•
6 years ago
[224]nsml 상상하는 모든 것이 이루어지는 클라우드 머신러닝 플랫폼
NAVER D2
•
6 years ago
Linear algebra
Sungbin Lim
•
6 years ago
Generative adversarial networks
남주 김
•
6 years ago
CNN 초보자가 만드는 초보자 가이드 (VGG 약간 포함)
Lee Seungeun
•
6 years ago
강화 학습 기초 Reinforcement Learning an introduction
Taehoon Kim
•
7 years ago
Paper Reading : Enriching word vectors with subword information(2016)
정훈 서
•
6 years ago
One-Shot Learning
Jisung Kim
•
6 years ago
지적 대화를 위한 깊고 넓은 딥러닝 PyCon APAC 2016
Taehoon Kim
•
7 years ago
Introduction to Amazon Web Services
Amazon Web Services
•
12 years ago
부동산 텔레그램 봇
HoChul Shin
•
7 years ago
Explanation on Tensorflow example -Deep mnist for expert
홍배 김
•
7 years ago
NDC 2016 김정주 - 기계학습을 활용한 게임어뷰징 검출
정주 김
•
7 years ago
Caffe framework tutorial2
Park Chunduck
•
8 years ago
기계학습 / 딥러닝이란 무엇인가
Yongha Kim
•
7 years ago
Google TensorFlow Tutorial
台灣資料科學年會
•
7 years ago
Synchronise your data between MySQL and MongoDB
Giuseppe Maxia
•
10 years ago
[123] quality without qa
NAVER D2
•
8 years ago
깃헙으로 코드리뷰 하기
Ohgyun Ahn
•
11 years ago
코드 리뷰 시스템 소개
Young-Ho Cha
•
8 years ago
Introduce Docker
Yongbok Kim
•
8 years ago
Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conference
Lean Analytics
•
9 years ago
공짜 경제에서 어떻게 돈을 버는가?(How to Make Money in Free Economy)
Sangkyu Rho
•
8 years ago
[1주차] 알파 유저를 위한 AWS 스터디
Amazon Web Services Korea
•
8 years ago
AWS Summit Seoul 2015 - 모바일 및 IoT 환경을 위한 AWS 클라우드 플랫폼의 진화 (윤석찬, Markku Lepisto)
Amazon Web Services Korea
•
8 years ago
Continous UI testing with Espresso and Jenkins
Sylwester Madej
•
8 years ago
Evaluating the Usefulness of IR-Based Fault LocalizationTechniques
Alex Orso
•
8 years ago
Personal Information
Organization / Workplace
Hong Kong, Hong Kong S.A.R. Hong Kong
Occupation
Associate Prof.
Industry
Education
Website
www.cse.ust.hk/~hunkim
About
Sung is an associate professor at the Hong Kong University of Science and Technology. He was a post-doc at the Program Analysis Group at MIT. He received his Ph.D. (thesis: Adaptive Bug Prediction By Analyzing Software History) in the Computer Science Department at the University of California, Santa Cruz. He has worked for Nara Vision Co. Ltd which is one of the leading Internet software companies in Korea for six years as a CTO. His research area is Software Engineering, focusing on software evolution, repository data mining, development social network mining, program analysis, and empirical studies. His chief research interest is programmer productivity, in particular, identifying faults
Tags
defect prediction
deeplearning
software testing
fse
hkust
crash
software engineering
developers
icse2011
deep api
tensorflow
machinelearning
tensorboard
software evolution
debugging
stackoverflow
machine learning
commit
msr
bug fault localization
sna
survey
changes
software development process
tao
intelligence code search engine
instant code search
tossing
bug triage
kenyon
dsn2011
See more