International Journals and Conference Proceedings
[24.04] Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han* and Mun Yi*., SIG-Net: GNN based Dropout Prediction in MOOCs Using Student Interaction Graph, ACM/SIGAPP Symposuim on Applied Computing, April 8-12, 2024 (Top-tier Conference, acceptance rate = 20%, full-paper)
[24.04] Donghee Han, Daehee Kim, Daeyoung Roh, Keejun Han* and Mun Yi*., Less is More: A Streamlined Graph-based Fashion Outfit Recommendation without Multimodal Dependency, ACM/SIGAPP Symposuim on Applied Computing, April 8-12, 2024 (Top-tier Conference, poster)
[24.02] Donghee Han, Daehee Kim, Keejun Han*, Mun Yi*, Keyword-enhanced Recommender System Based on Inductive Graph Matrix Completion, Engineering Applications of Artificial Intelligence, 128, 107499, 2024 (SCIE, IF=7.8, Q1)
[23.11] Jimin Lee, Eunjeong Na, Dong-gil Na*, Keejun Han*, Recommending K-wave Items for Small-sized Exporters by Incorporating Dense and Sparse Vectors, Sustainability, 15(22), 16098, 2023 (SCIE, IF=3.9, Q2)
[23.10] Donghee Han, Daehee Kim, Minsu Kim, Keejun Han*, Mun Yi*, Temporal Enhanced Inductive Graph Knowledge Tracing, Applied Intelligence, 53, 29282-29299, 2023 (SCIE, IF=5.019, Q2)
[23.08] Donghee Han, Daehee Kim, Keejun Han*, Mun. Yi*. Context-aware Inductive Graph Matrix Completion with Sentence BERT, IEEE International Conf. on Web Services,July 2-8, 2023 (Top-conference, acceptance rate = 20%, full-paper)
[23.04] Keejun Han, Jungeun Kim*, Proximity-aware Clinical Passage Retrieval Framework by Exploiting Knowledge Structure, IEEE Access, 11, 37681-37693, 2023 (SCIE, IF=3.476, Q2)
[23.03] Kanwalpreet Kour, Deepali Gupta, Junaid Rashid, Kamali Gupta, Jungeun Kim*, Keejun Han, Khalid Mohiuddin, Smart Framework for Quality Check and Determincation of Adulterants in Saffron Using Sensors and AquaCrop, Agriculture, Vol. 13, No. 4, Mar. 2023 (SCIE, IF= 3.408, Q1)
[23.02] Donghee Han, Daehee Kim, Mun Yi*, Keejun Han*, Inductive Graph-based Knowledge Tracing, In Proc. IEEE Int'l Conf. on Big Data and Smart Computing (BIGCOMP), Feb 2023. (Oral)
[22.04] Keejun Han, Yeongwoong Yu, Dong-gil Na, Hoon Jung, Younggyo Heo, Hyeonchoel Jeong, Sunguk Yun, Jungeun Kim*, Understanding postal delivery areas in the Republic of Korea by multiple unsupervised learning approaches, ETRI Journal, Vol. 44, No. 2, Apr. 2022. (SCIE, IF = 1.347)
[22.02] Hyeonchoel Jeong, Inhi Kim, Keejun Han*, Jungeun Kim*, Comprehensive analysis of traffic accidents in Seoul: Major factors and types affecting injury severity, Applied Sciences, Vol. 12, No. 4, Feb. 2022. (SCIE, IF = 2.679)
[22.01] Cheonsol Lee, Donghee Han, Seungwoo Choi, Keejun Han*, Mun Y. Yi*, Improving graph-based movie recommender system using cinematic experience, Applied Sciences, Vol. 12, No. 4, Jan. 2022. (SCIE, IF = 2.679)
[22.01] Cheonsol Lee, Donghee Han, Keejun Han*, Mun Y. Yi*, Multi-relational stacking ensemble recommender system using cinematic experience, In Proc. IEEE Int'l Conf. on Big Data and Smart Computing (BIGCOMP), Jan 2022. (poster)
[19.07] Keejun Han, Mun Y. Yi, Jungeun Kim*, Search personalization in folksonomy by exploiting multiple and temporal aspects of user profiles IEEE Access, Vol. 7, Jul. 2019. (SCIE, IF = 4.098)
[18.12] Keejun Han, Hyoeun Shim, Mun Y. Yi*, A new biomedical passage retrieval framework for laboratory medicine: Leveraging domain-specific ontology, multilevel PRF, and negation differential weighting, Journal of Healcare Engineering, Vol. 2018, Dec. 2018. (SCIE, IF = 1.261)