Keejun Han - RankMe

27 papers A 5B 3C 1Misc 2Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Closer through commonality: Enhancing hypergraph contrastive learning with shared groups. CoRR Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yi
2025	J	`jnl`	Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs. CoRR Donghee Han, Daehee Kim, Minjun Lee, Daeyoung Roh, Keejun Han, Mun Yong Yi
2025	A	`conf`	Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. CIKM Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Keejun Han, Mun Yong Yi
2024	J	`jnl`	A Novel Framework for Learning and Classifying the Imbalanced Multi-Label Data. Comput. Syst. Sci. Eng. P. K. A. Chitra, S. Appavu alias Balamurugan, S. Geetha, Seifedine Kadry, Jungeun Kim, Keejun Han
2024	B	`conf`	Closer through commonality: Enhancing hypergraph contrastive learning with shared groups. IEEE Big Data Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi
2024	J	`jnl`	Keyword-enhanced recommender system based on inductive graph matrix completion. Eng. Appl. Artif. Intell. Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi
2024	Misc	`conf`	Less is More: A Streamlined Graph-Based Fashion Outfit Recommendation without Multimodal Dependency. SAC Daehee Kim, Donghee Han, Daeyoung Roh, Keejun Han, Mun Yong Yi
2024	Misc	`conf`	SIG-Net: GNN based dropout prediction in MOOCs using Student Interaction Graph. SAC Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi
2023	A	`conf`	Context-aware Inductive Graph Matrix Completion with Sentence BERT. ICWS Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi
2023	—	`conf`	Inductive Graph-based Knowledge Tracing. BigComp Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi
2023	J	`jnl`	Leveraging Multimodal Ensemble Fusion-Based Deep Learning for COVID-19 on Chest Radiographs. Comput. Syst. Sci. Eng. Mohamed Yacin Sikkandar, K. Hemalatha, M. Subashree, S. Srinivasan, Seifedine Kadry, Jungeun Kim, Keejun Han
2023	J	`jnl`	Proximity-Aware Clinical Passage Retrieval Framework by Exploiting Knowledge Structure. IEEE Access Keejun Han, Jungeun Kim
2023	J	`jnl`	Statistical Data Mining with Slime Mould Optimization for Intelligent Rainfall Classification. Comput. Syst. Sci. Eng. Ramya Nemani, G. Jose Moses, Fayadh Alenezi, K. Vijaya Kumar, Seifedine Kadry, Jungeun Kim, Keejun Han
2023	J	`jnl`	Temporal enhanced inductive graph knowledge tracing. Appl. Intell. Donghee Han, Daehee Kim, Minsu Kim, Keejun Han, Mun Yong Yi
2022	—	`conf`	Multi-Relational Stacking Ensemble Recommender System Using Cinematic Experience. BigComp Cheonsol Lee, Donghee Han, Seungwoo Choi, Keejun Han, Mun Yong Yi
2019	J	`jnl`	Search Personalization in Folksonomy by Exploiting Multiple and Temporal Aspects of User Profiles. IEEE Access Keejun Han, Mun Yong Yi, Jungeun Kim
2018	C	`conf`	EP-CapsNet: Extending Capsule Network with Inception Module for Electrophoresis Binary Classification. BIBE Elizabeth Tobing, Ashraf Murtaza, Keejun Han, Mun Yong Yi
2016	—	`conf`	Introducing experiential knowledge platform: A smart decision supporter for field experts. BigComp Keejun Han, Eunkyung G. Lee, Hyunwoo Je, Mun Yong Yi
2015	—	`conf`	Adaptive and multiple interest-aware user profiles for personalized search in folksonomy: A simple but effective graph-based profiling model. BigComp Keejun Han, Juneyoung Park, Mun Yong Yi
2015	—	`conf`	AppTrends: A graph-based mobile app recommendation system using usage history. BigComp Donghwan Bae, Keejun Han, Juneyoung Park, Mun Yong Yi
2015	—	`conf`	Incorporating Distinct Opinions in Content Recommender System. AIRS Grace E. Lee, Keejun Han, Mun Yong Yi
2014	A	`conf`	Exploiting Knowledge Structure for Proximity-aware Movie Retrieval Model. CIKM Sansung Kim, Keejun Han, Mun Yong Yi, Sinhee Cho, Seongchan Kim
2014	A	`conf`	Quality-Based Automatic Classification for Presentation Slides. ECIR Seongchan Kim, Wonchul Jung, Keejun Han, Jae-Gil Lee, Mun Yong Yi
2013	A	`conf`	Understanding the Difficulty Factors for Learning Materials: A Qualitative Study. AIED Keejun Han, Mun Yong Yi, Gahgene Gweon, Jae-Gil Lee
2012	J	`jnl`	MovieMine: personalized movie content search by utilizing user comments. IEEE Trans. Consumer Electron. Hyung W. Kim, Keejun Han, Mun Yong Yi, Joonmyun Cho, Jinwoo Hong
2012	B	`conf`	On Finding Fine-Granularity User Communities by Profile Decomposition. ASONAM Seulki Lee, Minsam Ko, Keejun Han, Jae-Gil Lee
2012	B	`conf`	Scientific table type classification in digital library. ACM Symposium on Document Engineering Seongchan Kim, Keejun Han, Soon Young Kim, Ying Liu