Jaeyong Kang
Scholar

Jaeyong Kang

Google Scholar ID: kEI6KkIAAAAJ
Singapore University of Technology and Design (SUTD)
Deep LearningInformation RetrievalRecommender SystemsMusic GenerationArtificial Intelligence
Citations & Impact
All-time
Citations
1,205
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Honors and Awards:
  • - Best Paper Reward (Grand Prize), Next Generation Computing Conference (2021)
  • - First Runner Up, Online Hackathon “AI Data for Panoramic Image of Road Environment” (2020)
  • - Qualcomm-GIST Innovation Award (IT Research Paper Award), School of EECS, GIST (Supported by Qualcomm) (2016)
  • - National Full-ride Scholarships, GIST (2009-2016)
  • - Student Travel Award, IEEE International Conference on Data Engineering (ICDE) (2015)
  • - First Runner Up, CWNU Programming Contest (2006)
  • - CWNU “NURI” Scholarships for Outstanding Students, CWNU, (2006-2009)
  • - Publications:
  • - Are we there yet? A brief survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges, IEEE Transactions on Affective Computing, 2025
  • - Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model, Expert Systems with Applications, 2024
  • - Smart Insole-Based Classification of Alzheimer’s Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning, IEEE Transactions on Consumer Electronics, 2024
  • - Early Alzheimer’s Disease Diagnosis using Wearable Sensors and Multilevel Gait Assessment: A Machine Learning Ensemble Approach, IEEE Sensors Journal, 2023
Research Experience
  • - Postdoctoral Researcher, Singapore University of Technology and Design (SUTD), Singapore (Dec. 2021 - Feb. 2025)
  • - Research focused on AI-driven music and audio projects, including AI music generation for video and music emotion recognition
  • - Postdoctoral Researcher, Korea National University of Transportation (KNUT), South Korea (Jun. 2019 - Nov. 2021)
  • - Contributed to diverse projects such as medical image segmentation and classification, fruit freshness classification, face mask detection, anomaly detection, and knowledge distillation
  • - Research Scientist, Seoul National University Hospital (SNUH), Seoul, South Korea (Apr. 2018 - Mar. 2019)
  • - Involved in projects like medical image segmentation and classification
Education
  • - Ph.D. in Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Mar. 2009 - Feb. 2017
  • - Thesis: User Interest Modeling in Social Media for Personalized Services
  • - Advisor: Prof. Hyunju Lee
  • - Committee: Kuk-Jin Yoon, Sung-Hee Lee, Sung Chan Jun, Xing Xie
  • - Formal Advisor: Prof. Kwang Mong Sim
  • - B.S. in Computer Engineering, Changwon National University (CWNU), Mar. 2005 - Feb. 2009
Background
  • - AI researcher
  • - Research interests: User interest modeling in social media for personalized services, AI-driven music and audio projects
  • - Specialized in: Electrical Engineering and Computer Science
Miscellany
  • - Personal interests: Music
  • - Performance experience: Performed as a lounge pianist and composed solo piano pieces, some of which are available on platforms like iTunes and Spotify
  • - Engaged for piano performances at various corporate and private events