Ayeong Seong

M.S. in Applied Artificial Intelligence
Sungkyunkwan University
2024 - Present

B.S. in Big Data Science, Department of Computer Science
GNU(Gyeongsang National University)
2019 - 2024

• Seong, A., Cha, J., & Park, E. (accepted). KMD: Korean Meme Dataset and A Vision-centric Approach for Negative Content Detection. In Proceedings of the 2025 IEEE International Conference on Big Data (BigData '25), IEEE

• Seong, A. & Park, E. (accepted). A Computer Vision-Based Approach for Detecting Negative Korean Memes. Proceedings of the Korea Information Processing Society Conference

• Seong, A.., Kang, S., Song, Y.., & Kim, G. (2024). Health-AutoML: An Automatic Adaptive Multi-Layer Stacking Ensemble Learning Framework for Analyzing Healthcare Data. The Journal of Korean Institute of Information Technology, 22(1), 23-37.

• Seong, A.., Yun, S., Kang, S., & Kim, G. (2023).  Automatic Multi-layer Stacking Ensemble Generation Technique for Predicting Diabetes Mellitus Incidence. Proceedings of the Korea Information Processing Society Conference, 426-427

• Song, Y., Ha, Y., Seong, A., & Kim, G. (2023). DCGAN-based Emoji Generation exploiting Adjustment of Latent vector Representation. Proceedings of the Korea Information Processing Society Conference, 603–605. 

• Yun, S., Seong, A., & Kim, G. (2022). Detection of Injection Molding Defects Using Stacking Ensemble Model. 한국정보과학회 학술발표논문집, 1,483-1,485.

• 코호트 데이터를 활용한 인공지능 기반 당뇨병 발생 예측 모델, WiSET (2023년 산학연계 여대생 팀프로젝트 지원 사업), 연구책임자, 2023.06-2023.10.

• SmartFactory 구축을 위한 인공지능 기반 사출성형 모니터링 및 최적화 연구, WiSET (2022년 산학연계 여대생 팀프로젝트 지원 사업), 학생연구원, 2022.06-2022.10.