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Chae, Woo-Kyu
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1

Software plagiarism detection via the static API call frequ..:

, In: Proceedings of the 28th Annual ACM Symposium on Applied Computing,
Chae, Dong-Kyu ; Kim, Sang-Wook ; Ha, Jiwoon.. - p. 1639-1643 , 2013
Link: https://dl.acm.org/doi/1..
 
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2

A 0.35 μm SiGe BiCMOS 8 GHz Low Noise Broad Band Amplifier:

, In: Proceedings of the IEEE SoutheastCon 2006,
Young Gi Kim ; Eun Jin Lee ; Chang Woo Kim... - p. 224,225,226,227 , 2006
Link: https://doi.org/10.1109/..
 
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3

Multi-Label Facial Emotion Recognition Using Korean Drama V..:

, In: 2022 IEEE International Conference on Big Data and Smart Computing (BigComp),
Cho, Heeryon ; Kang, Woo Kyu ; Park, Youn-Soo.. - p. 215-221 , 2022
Link: https://doi.org/10.1109/..
 
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4

Multi-view Mixed Attention for Contrastive Learning on Hype..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Lee, Jongsoo ; Chae, Dong-Kyu - p. 2543-2547 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

DuoGAT: Dual Time-oriented Graph Attention Networks for Acc..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
Lee, Jongsoo ; Park, Byeongtae ; Chae, Dong-Kyu - p. 1188-1197 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

An Interpretable Framework for Identifying Cerebral Microbl..:

, In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),
Kamal, Md Sarwar ; Chowdhury, Linkon ; Nimmy, Sonia Farhana.. - p. 1-4 , 2023
Link: https://doi.org/10.1109/..
 
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7

Look Ahead: Improving the Accuracy of Time-Series Forecasti..:

, In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Kim, Seonmin ; Chae, Dong-Kyu - p. 2134-2138 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Graph Summarization for Human-Understandable Visualization ..:

, In: 2022 IEEE International Conference on Big Data and Smart Computing (BigComp),
Park, Ji Sun ; Kang, Mingu ; Lee, Sungryoul. - p. 314-317 , 2022
Link: https://doi.org/10.1109/..
 
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9

Reinforcement Learning over Sentiment-Augmented Knowledge G..:

, In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining,
Park, Sung-Jun ; Chae, Dong-Kyu ; Bae, Hong-Kyun.. - p. 784-793 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

Context-aware Traffic Flow Forecasting in New Roads:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Kim, Namhyuk ; Chae, Dong-Kyu ; Shin, Jung Ah... - p. 4133-4137 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

A diversity personalization approach towards recommending P..:

, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing,
Lee, Jongsoo ; Shin, Jung Ah ; Chae, Dong-Kyu - p. 1804-1807 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

Adaptive Autoencoders Exploiting Content Preference for Acc..:

, In: 2022 IEEE International Conference on Big Data and Smart Computing (BigComp),
Chae, Dong-Kyu ; Shin, Jung Ah ; Kim, Sang-Wook - p. 292-295 , 2022
Link: https://doi.org/10.1109/..
 
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13

An Uncertainty-Aware Imputation Framework for Alleviating t..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Hwang, Sunghyun ; Chae, Dong-Kyu - p. 802-811 , 2022
Link: https://dl.acm.org/doi/1..
 
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14

ExMeshCNN : An Explainable Convolutional Neural Network ..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Kim, Seonggyeom ; Chae, Dong-Kyu - p. 795-803 , 2022
Link: https://dl.acm.org/doi/1..
 
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15

MANIAC: A Man-Machine Collaborative System for Classifying ..:

, In: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security,
Kim, Eujeanne ; Park, Sung-Jun ; Choi, Seokwoo.. - p. 2441-2443 , 2021
Link: https://dl.acm.org/doi/1..
 
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