Publications

28 publications — 10 journal articles, 18 conference papers

2025

• Benchmarking Large Language Models: A Comparative Study of DeepSeek and ChatGPT
  V Bhatt, Z Yu, D Thakar, J Cervantes-Fernandez, M Kim, D Jin, K Dajani, J Jin · 32nd IEEE/ACIS SNPD2025-Summer IV, Brampton, Canada
  conference
• From Prompts to Performance: Leveraging LLMs for Enhanced Educational AI
  V Bhatt, Z Yu, Y Hou, B Khan, K Dajani, J Jin · IEEE CAI 2025
  conference
• ChatGPT as a Programming Tutor: Student Perceptions, Effectiveness, and Challenges
  V Bhatt, Z Yu, Y Hou, J Jin · IEEE EDUCON 2025
  conference

2024

• Machine Learning Platform for Disease Diagnosis with Contrast CT Scans
  J Jin, M Kim, SD Kim, D Jin · Applied Sciences, 14(17)
  journal
• Personalized Health Assistant with Reinforcement Learning
  J Jin, M Kim, S Kim · 1st IEEE International Conference on AI for Medicine, Health and Care
  conference
• Reinforcement Learning Architecture for Facial Skin Treatment Recommender
  J Jin, K Dajani, M Kim, SD Kim, B Khan, DH Jin · 22nd IEEE/ACIS SERA, Honolulu
  conference
• TinyTeller AI, an AI-based Adaptive Storytelling Application
  M Kim, T Kim, A Nguyen, EN Gomez, J Jin · 1st IEEE International Conference on AI x Humanities, Education, and ART
  conference

2023

• GPT-Empowered Personalized eLearning System for Programming Languages
  J Jin, M Kim · Applied Sciences, 13(23):12773
  journal
• A Deep Learning Approach for Liver Segmentation and Lesion Detection
  K Mahida, D Jin, B Khan, W Khan, K Dajani, J Jin · 16th International Conference on eSystems Engineering (DeSE 2023)
  conference
• Automating LI-RADS Classification
  H Curtis, J Park, M Christie, D Wilding, S Villamor, A Beaven, T Smith, S Kim, J Jin, D Jin · Western Medical Research Conference, Carmel, CA
  conference
• Organ Segmentation on CT Imaging Through Machine Learning
  J Park, J Jin, M Christie, D Wilding, S Villamor, H Curtis, A Beaven, T Smith, D Jin · Western Medical Research Conference, Carmel, CA
  conference

2022

• Usefulness of Vaccine Adverse Event Reporting System for Machine-Learning Based Vaccine Research: A COVID-19 Study
  J Flora, W Khan, J Jin, D Jin, A Hussain, K Dajani, B Khan · International Journal of Molecular Sciences, 23(15):8235
  journal
• Achieving Clinical-level ML System for Segmenting Organs
  J Jin, S Kim, A Wilding, M Christie, S Villamor, A Beaven, D Jin · ARRS 2022, New Orleans
  conference
• ML System to Fully Automate Detecting Hepatocellular Carcinoma
  J Jin, S Kim, M Christie, A Wilding, S Villamor, A Beaven, D Jin · ARRS 2022, New Orleans
  conference
• Autonomous Sprinkler System with MAPE-K
  M Kim, J Jin · International Conference on Computational Science and Computational Intelligence, Las Vegas
  conference
• Learn Programming In Virtual Reality?
  B Alexander, Y Hou, B Khan, J Jin · IEEE EDUCON 2022
  conference

2021

• High Performing Mask-RCNN Model for Segmenting Organs in Medical Images
  J Jin, M Song, S Kim, D Jin · IEEE International Conference on e-Health and Bioengineering (EHB) 2021
  conference

2020

• Identification of Most Influential Co-occurring Gene Suites for Gastrointestinal Cancer
  CCN Wang, J Jin, JG Chang, et al. · BMC Medical Informatics and Decision Making, 20:208
  journal
• Integrated CNN and RNN Based Deep Learning System for LI-RADS
  J Jin, S Kim, D Jin · RSNA 2020, Chicago
  conference

2019

• Influence Maximization in Graph-based OLAP
  J Jin, G Zhang, P Sheu, M Hayakawa, A Kitazawa · Journal of Social Network Analysis and Mining, 9:54
  journal

2018

• Network Analysis for Graph-based OLAP
  J Jin, M Hayakawa · International Journal of Semantic Computing, 13(1)
  journal

2017

• OLAP and Machine Learning
  J Jin · Encyclopedia with Semantic Computing and Robotic Intelligence, 1(1)
  journal

2015

• Technical Survey: Graph Databases and Applications
  S Wang, J Jin, P Rivett, A Kitazawa · International Journal of Semantic Computing, 9(4):523-545
  journal
• Technology Outlook: Semantic Computing for Education
  J Jin, M Kim, P Rivett · International Journal of Semantic Computing, 9(3)
  journal

2014

• A Survey of Big Data Technologies and How Semantic Computing Can Help
  J Kim, G Wang, ST Bae · International Journal of Semantic Computing, 8(1)
  journal

2012

• Design and Evaluation of Mobile Applications with Offloading
  J Kim · 7th International Conference on Grid and Pervasive Computing (GPC 2012), Hong Kong
  conference

2010

• Architectures with Full and Partial Offloading for Mobile Applications
  J Kim · IEEE ICONI 2010, Mactan Island, Philippines
  conference
• Architecture Patterns for Service-based Mobile Applications
  J Kim · IEEE SOCA 2010, Perth, Australia
  conference