NEWS
New Feature!!!! University Subject Rankings in 12 branches
FOR SCIENTIST REGISTRATION FOR INSTITUTIONAL BULK REGISTRATION
FOR EDIT YOUR UNIVERSITY / INSTITUTION PAGE
Some differences of the AD Scientific Index
New Feature!!!! University Subject Rankings in 12 branches
List without CERN, Statistical Data etc. Only in AD Scientific Index
New Feature!!!! University Subject Rankings in 12 branches
AD
Scientific Index 2024
About Us
Methodology
Compare & Choose
Contact - FAQ
login
Login
person_add
Register
school
University Rankings
subject
University Subject Rankings
place
Country Rankings
insights
i10 Productivity Rankings
insights
Subject Rankings
format_list_numbered
Top 100 Scientists
format_list_numbered
Citation Rankings
format_quote
Top 100 Institutions
local_fire_department
Country Top Lists
Jiho Shin
AD Scientific Index 2024
Engineering & Technology / Computer Science
York University - Toronto / Canada
Edit Form
Registration, Add Profile,
Premium Membership
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Congresses (0)
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Jiho Shin's MOST POPULAR ARTICLES
1-)
A survey of automatic code generation from natural languageJ Shin, J NamJournal of Information Processing Systems 17 (3), 537-555, 2021202021
2-)
Characterizing and understanding software security vulnerabilities in machine learning librariesNS Harzevili, J Shin, J Wang, S Wang, N Nagappan2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023112023
3-)
An Empirical Study on the Stability of Explainable Software Defect PredictionJ Shin, R Aleithan, J Nam, J Wang, N Shiri Harzevili, S Wang30th Asia-Pacific Software Engineering Conference (APSEC 2023), 20237*2023
4-)
Prompt engineering or fine tuning: An empirical assessment of large language models in automated software engineering tasksJ Shin, C Tang, T Mohati, M Nayebi, S Wang, H HemmatiarXiv preprint arXiv:2310.10508, 2023102023
5-)
Domain Adaptation for Deep Unit Test Case GenerationJ Shin, S Hashtroudi, H Hemmati, S WangarXiv e-prints, arXiv: 2308.08033, 20237*2023
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept