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Chae, Dong-Hun
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1

The EMPIR Project GIQS: Graphene Impedance Quantum Standard:

, In: 2020 Conference on Precision Electromagnetic Measurements (CPEM),
Callegaro, Luca ; D'Elia, Vincenzo ; Marzano, Martina... - p. 1-2 , 2020
Link: https://doi.org/10.1109/..
 
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2

Study on Cold-Finger 3He Cryostat for Precision Measurement..:

, In: 2020 Conference on Precision Electromagnetic Measurements (CPEM),
Kim, Nam ; Kim, Wan-Seop ; Chae, Dong-Hun... - p. 1-2 , 2020
Link: https://doi.org/10.1109/..
 
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3

Crucial Steps to Realize a Graphene Quantum Hall Resistance..:

, In: 2020 Conference on Precision Electromagnetic Measurements (CPEM),
Park, Jaesung ; Chae, Dong-Hun ; Kim, Dan Bee. - p. 1-2 , 2020
Link: https://doi.org/10.1109/..
 
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4

Current-to-Voltage Conversion with Integrated Quantum Hall ..:

, In: 2020 Conference on Precision Electromagnetic Measurements (CPEM),
Chae, Dong-Hun ; Kim, Mun-Seog ; Kim, Wan-Seop.. - p. 1-2 , 2020
Link: https://doi.org/10.1109/..
 
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5

A 120 GHz Wireless Radio Link for High-speed Chip-to-Chip C..:

, In: 2019 IEEE Asia-Pacific Microwave Conference (APMC),
Kim, Seung Hun ; Jang, Tae Hwan ; Kang, Dong Min... - p. 375-377 , 2019
Link: https://doi.org/10.1109/..
 
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6

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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7

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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8

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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9

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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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

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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12

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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13

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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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

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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