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Kim, Heasung
19  Ergebnisse:
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1

Learning Variable-Rate Codes for CSI Feedback:

, In: GLOBECOM 2022 - 2022 IEEE Global Communications Conference,
Kim, Heasung ; Kim, Hyeji ; De Veciana, Gustavo - p. 1435-1441 , 2022
Link: https://doi.org/10.1109/..
 
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2

An Efficient Neural Network Architecture for Rate Maximizat..:

, In: 2020 IEEE International Symposium on Information Theory (ISIT),
Kim, Heasung ; Cho, Taehyun ; Lee, Jungwoo.. - p. 2498-2503 , 2020
Link: https://doi.org/10.1109/..
 
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3

RL-Based Transmission Completion Time Minimization with Ene..:

, In: 2020 IEEE International Conference on Communications Workshops (ICC Workshops),
Kim, Heasung ; Shin, Wonjae ; Yang, Heecheol. - p. 1-7 , 2020
Link: https://doi.org/10.1109/..
 
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4

miR-200b/200a/429 Cluster Stimulates Ovarian Cancer Develop..:

Guan, Wei ; Cui, Huiling ; Huang, Ping...
Journal of Oncology.  2020 (2020)  - p. 1-8 , 2020
Link: https://doi.org/10.1155/..
 
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5

On the Design of Tailored Neural Networks for Energy Harves..:

Kim, Heasung ; Kim, Jungtai ; Shin, Wonjae...
IEEE Access.  8 (2020)  - p. 179678-179691 , 2020
Link: https://doi.org/10.1109/..
 
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6

Rate Maximization with Reinforcement Learning for Time-Vary..:

, In: 2019 IEEE Global Communications Conference (GLOBECOM),
Kim, Heasung ; Shin, Wonjae ; Yang, Heecheol.. - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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7

A Deep Learning Approach for Automotive Radar Interference ..:

, In: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall),
Mun, Jiwoo ; Kim, Heasung ; Lee, Jungwoo - p. 1-5 , 2018
Link: https://doi.org/10.1109/..
 
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8

Learning RL-Policies for Joint Beamforming Without Explorat..:

Kim, Heasung ; Ankireddy, Sravan Kumar
http://arxiv.org/abs/2310.08660.  , 2023
Link: http://arxiv.org/abs/231..
 
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9

Action-Bounding for Reinforcement Learning in Energy Harves..:

Kim, Heasung ; Yang, Heecheol ; Kim, Yeongmo.
2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), p. 8647681.  , 2022
Link: https://hdl.handle.net/1..
 
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10

A Deep Learning Approach for Automotive Radar Interference ..:

Mun, Jiwoo ; Kim, Heasung ; Lee, Jungwoo
2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), p. 8690848.  , 2022
Link: https://hdl.handle.net/1..
 
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11

Rate Maximization with Reinforcement Learning for Time-Vary..:

Kim, Heasung ; Shin, Wonjae ; Yang, Heecheol..
2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), p. 9013583.  , 2022
Link: https://hdl.handle.net/1..
 
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12

An Efficient Neural Network Architecture for Rate Maximizat..:

Kim, Heasung ; Cho, Taehyun ; Lee, Jungwoo..
2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), pp.2498-2503.  , 2022
Link: https://hdl.handle.net/1..
 
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13

A Deep Learning Approach for Automotive Radar Interference ..:

Mun, Jiwoo ; Kim, Heasung ; Lee, Jungwoo
http://arxiv.org/abs/1903.06380.  , 2019
Link: http://arxiv.org/abs/190..
 
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14

On the Design of Tailored Neural Networks for Energy Harves..:

Heasung Kim ; Jungtai Kim ; Wonjae Shin...
https://ieeexplore.ieee.org/document/9205303/.  , 2020
Link: https://doi.org/10.1109/..
 
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15

miR-200b/200a/429 Cluster Stimulates Ovarian Cancer Develop..:

Wei Guan ; Huiling Cui ; Ping Huang...
http://dx.doi.org/10.1155/2020/3404059.  , 2020
Link: https://doi.org/10.1155/..
 
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