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Choi, Seungkyu
714  Ergebnisse:
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1

Optimizing Lifetime of Internet-of-Things Networks with Dyn..:

Choi, Seung-Kyu ; Kim, Woo Hyun ; Sohn, Illsoo
Mathematics.  11 (2023)  23 - p. 4768 , 2023
Link: https://doi.org/10.3390/..
 
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2

SONA: An Accelerator for Transform-Domain Neural Networks w..:

, In: 2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP),
Abillama, Pierre ; Fan, Zichen ; Chen, Yu... - p. 18-26 , 2023
Link: https://doi.org/10.1109/..
 
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3

Energy-Efficient CNN Personalized Training by Adaptive Data..:

Jung, Youngbeom ; Kim, Hyeonuk ; Choi, Seungkyu..
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.  42 (2023)  1 - p. 332-336 , 2023
Link: https://doi.org/10.1109/..
 
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4

Accelerating On-Device DNN Training Workloads via Runtime C..:

Choi, Seungkyu ; Shin, Jaekang ; Kim, Lee-Sup
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.  42 (2023)  5 - p. 1574-1587 , 2023
Link: https://doi.org/10.1109/..
 
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5

Rare Computing: Removing Redundant Multiplications From Spa..:

Park, Kangkyu ; Choi, Seungkyu ; Choi, Yeongjae.
IEEE Transactions on Computers.  71 (2022)  4 - p. 795-808 , 2022
Link: https://doi.org/10.1109/..
 
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6

Policymaking during COVID-19: Preemptive State Intervention..:

Choi, Seungkyu ; Allgood, Michelle ; Swindell, David
Public Performance & Management Review.  46 (2022)  1 - p. 29-59 , 2022
Link: https://doi.org/10.1080/..
 
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7

A Deep Neural Network Training Architecture With Inference-..:

Choi, Seungkyu ; Shin, Jaekang ; Kim, Lee-Sup
IEEE Transactions on Computers.  71 (2022)  5 - p. 1216-1229 , 2022
Link: https://doi.org/10.1109/..
 
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8

Algorithm/architecture co-design for energy-efficient accel..:

, In: Proceedings of the 59th ACM/IEEE Design Automation Conference,
Shin, Jaekang ; Choi, Seungkyu ; Ra, Jongwoo. - p. 253-258 , 2022
Link: https://dl.acm.org/doi/1..
 
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9

Sexual kink and human's general desire:

Choi, Seung-Kyu
Korean Journal of Sexual Health.  5 (2021)  1 - p. 9-11 , 2021
Link: https://doi.org/10.34224..
 
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10

A pragmatic approach to on-device incremental learning syst..:

, In: Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference,
Shin, Jaekang ; Choi, Seungkyu ; Choi, Yeongjae. - p. 1-6 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Corrigendum: High grade carcinoma ex pleomorphic adenoma of..:

Kim, Ji-Kwan ; Kim, Moon-Young ; Choi, Seung-Kyu
Journal of the Korean Association of Oral and Maxillofacial Surgeons.  46 (2020)  6 - p. 445-445 , 2020
Link: https://doi.org/10.5125/..
 
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12

Application of NanoString technologies in angioimmunoblasti..:

Shin, Wonseok ; Mun, Seyoung ; Choi, Seungkyu.
Genes & Genomics.  42 (2020)  4 - p. 485-494 , 2020
Link: https://doi.org/10.1007/..
 
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13

A Pragmatic Approach to On-device Incremental Learning Syst..:

, In: 2020 57th ACM/IEEE Design Automation Conference (DAC),
Shin, Jaekang ; Choi, Seungkyu ; Choi, Yeongjae. - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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14

A 47.4µJ/epoch Trainable Deep Convolutional Neural Network ..:

, In: 2019 IEEE Asian Solid-State Circuits Conference (A-SSCC),
Choi, Seungkyu ; Sim, Jaehyeong ; Kang, Myeonggu... - p. 57-60 , 2019
Link: https://doi.org/10.1109/..
 
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15

An Optimized Design Technique of Low-bit Neural Network Tra..:

, In: Proceedings of the 56th Annual Design Automation Conference 2019,
Choi, Seungkyu ; Shin, Jaekang ; Choi, Yeongjae. - p. 1-6 , 2019
Link: https://dl.acm.org/doi/1..
 
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