Artikel dengan mandat akses publik - Hyeji KimPelajari lebih lanjut
Tidak tersedia di mana pun: 3
Deep Learning-Based Autodetection of 5G NR mmWave Waveforms
T Lee, A Mahadevan, H Kim, J Andrews
IEEE International Conference on Communications (ICC), 2024
Mandat: US National Science Foundation, US Department of Defense
Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements
T Lee, H Kim, J Andrews
IEEE International Conference on Communications (ICC), 2024
Mandat: US National Science Foundation, US Department of Defense
DeepIC+: Learning Codes for Interference Channels
K Chahine, Y Jiang, J Cho, H Kim
IEEE Transactions on Wireless Communications 23 (4), 2740-2754, 2023
Mandat: US National Science Foundation, US Department of Defense
Tersedia di suatu tempat: 17
Deepcode: Feedback Codes via Deep Learning
H Kim, Y Jiang, S Kannan, S Oh, P Viswanath
IEEE Journal on Selected Areas in Information Theory, 2020
Mandat: US National Science Foundation, US Department of Defense
Turbo autoencoder: Deep learning based channel codes for point-to-point communication channels
Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath
Advances in Neural Information Processing Systems (NeurIPS), 2758-2768, 2019
Mandat: US National Science Foundation
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath
53rd IEEE International Conference on Communications (ICC 2019), 2018
Mandat: US National Science Foundation
DeepTurbo: Deep Turbo Decoder
Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath
https://arxiv.org/abs/1903.02295 (SPAWC 2019), 2019
Mandat: US National Science Foundation
Physical Layer Communication via Deep Learning
H Kim, S Oh, P Viswanath
IEEE Journal on Selected Areas in Information Theory, 2020
Mandat: US National Science Foundation
MIND: Model Independent Neural Decoder
Y Jiang, H Kim, H Asnani, S Kannan
IEEE International Workshop on Signal Processing Advances in Wireless …, 2019
Mandat: US National Science Foundation
Neural Distributed Source Coding
J Whang, A Acharya, H Kim, AG Dimakis
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2024
Mandat: US National Science Foundation, US Department of Defense
Distributed Interference Alignment for K -user Interference Channels via Deep Learning
RK Mishra, K Chahine, H Kim, S Jafar, S Vishwanath
ISIT, 2021
Mandat: US National Science Foundation, US Department of Defense
Discovering potential correlations via hypercontractivity
H Kim, W Gao, S Kannan, S Oh, P Viswanath
Advances in Neural Information Processing Systems (NIPS), 4580-4590, 2017
Mandat: US National Science Foundation
Linear Coding for AWGN channels with Noisy Output Feedback via Dynamic Programming
R Mishra, D Vasal, H Kim
IEEE Transactions on Information Theory, 2023
Mandat: US National Science Foundation, US Department of Defense
TinyTurbo: Efficient Turbo Decoders on Edge
SA Hebbar, RK Mishra, SK Ankireddy, AV Makkuva, H Kim, P Viswanath
2022 IEEE International Symposium on Information Theory (ISIT), 2797-2802, 2022
Mandat: US National Science Foundation, US Department of Defense
Task-aware Distributed Source Coding under Dynamic Bandwidth
P Li, SK Ankireddy, R Zhao, HN Mahjoub, E Moradi-Pari, U Topcu, ...
Neural Information Processing Systems (NeurIPS) 2023, 2023
Mandat: US National Science Foundation, US Department of Defense, US National …
DeepIC: Coding for Interference Channels via Deep Learning
K Chahine, N Ye, H Kim
GLOBECOM 2021, 2021
Mandat: US Department of Defense
LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback
SK Ankireddy, K Narayanan, H Kim
To appear in the IEEE Journal on Selected Areas in Communications (JSAC), 2024
Mandat: US National Science Foundation, US Department of Defense
Inventing Codes for Channels with Active Feedback via Deep Learning
K Chahine, R Mishra, H Kim
IEEE Journal on Selected Areas in Information Theory, 2022
Mandat: US National Science Foundation, US Department of Defense
Learning Variable-Rate Codes for CSI Feedback
H Kim, H Kim, G de Veciana
GLOBECOM 2022, 2022
Mandat: US National Science Foundation, US Department of Defense
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels
SK Ankireddy, SA Hebbar, Y Jiang, P Viswanath, H Kim
2023 IEEE International Symposium on Information Theory (ISIT), 1160-1165, 2023
Mandat: US National Science Foundation, US Department of Defense
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