Hyeji Kim
Title
Cited by
Cited by
Year
Communication algorithms via deep learning
H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath
Sixth International Conference on Learning Representations (ICLR), 2018
1382018
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
702020
Deepcode: Feedback codes via deep learning
H Kim, Y Jiang, S Kannan, S Oh, P Viswanath
Advances in Neural Information Processing Systems (NeurIPS), 2018
642018
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks
Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath
IEEE Journal on Selected Areas in Information Theory, 2020
352020
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
352018
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
292019
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
242019
Superposition coding is almost always optimal for the Poisson broadcast channel
H Kim, B Nachman, AE Gamal
IEEE Transactions on Information Theory 62 (4), 1782 - 1794, 2016
242016
Superposition coding is almost always optimal for the Poisson broadcast channel
H Kim, B Nachman, A El Gamal
Information Theory (ISIT), 2015 IEEE International Symposium on, 834-838, 2015
242015
MIND: Model Independent Neural Decoder
Y Jiang, H Kim, H Asnani, S Kannan
IEEE International Workshop on Signal Processing Advances in Wireless …, 2019
182019
A note on the broadcast channel with stale state information at the transmitter
H Kim, YK Chia, A El Gamal
IEEE Transactions on Information Theory 61 (7), 3622-3631, 2015
172015
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
M Abdelfattah, Ł Dudziak, T Chau, R Lee, H Kim, N Lane
Design Automation Conference (DAC), https://arxiv.org/abs/2002.05022, 2020
132020
BRP-NAS: Prediction-based NAS using GCNs
T Chau, Ł Dudziak, MS Abdelfattah, R Lee, H Kim, ND Lane
2020 Conference on Neural Information Processing Systems (NeurIPS), 2020
12*2020
Discovering potential correlations via hypercontractivity
H Kim, W Gao, S Kannan, S Oh, P Viswanath
Entropy 19 (11), 586, 2017
122017
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
122017
Journey Towards Tiny Perceptual Super-Resolution
R Lee, L Dudziak, M Abdelfattah, S Venieris, H Kim, H Wen, ND Lane
European Conference on Computer Vision (ECCV), https://arxiv.org/abs/2007.04356, 2020
102020
Greedy local routing strategy for autonomous global load balancing based on three-dimensional potential field
S Jung, J Sung, Y Bang, M Kserawi, H Kim, JKK Rhee
IEEE communications letters 14 (9), 839-841, 2010
92010
HAPI: Hardware-Aware Progressive Inference
S Laskaridis, S Venieris, H Kim, N Lane
IEEE/ACM International Conference on Computer Aided Design, 2020
82020
On the optimality of randomized time division and superposition coding for the broadcast channel
C Nair, H Kim, A El Gamal
Information Theory Workshop (ITW), 2016 IEEE, 131-135, 2016
82016
Capacity theorems for broadcast channels with two channel state components known at the receivers
H Kim, A El Gamal
IEEE Transactions on Information Theory 62 (12), 6917-6930, 2016
72016
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Articles 1–20