| 4 Channel Coding via Machine Learning H Kim | | |
| A Channel Coding Benchmark for Meta-Learning R Li, O Bohdal, R Mishra, H Kim, D Li, N Lane, T Hospedales NeurIPS 2021 Datasets and Benchmarks Track, 2021 | 8 | 2021 |
| 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 | 21 | 2015 |
| Attention with markov: A framework for principled analysis of transformers via markov chains AV Makkuva, M Bondaschi, A Girish, A Nagle, M Jaggi, H Kim, M Gastpar arXiv preprint arXiv:2402.04161, 2024 | 12 | 2024 |
| 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 | 94 | 2020 |
| BRP-NAS: Prediction-based NAS using GCNs Ł Dudziak, T Chau, MS Abdelfattah, R Lee, H Kim, ND Lane arXiv preprint arXiv:2007.08668, 2020 | 211 | 2020 |
| 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 | | 2020 |
| Capacity region of the broadcast channel with two deterministic channel state components H Kim, A El Gamal Information Theory (ISIT), 2014 IEEE International Symposium on, 1952-1956, 2014 | 2 | 2014 |
| 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 | 9 | 2016 |
| Clustered Federated Learning via Gradients-based Partitioning H Kim, H Kim, G de Veciana ICML 2024, 2024 | | 2024 |
| Codesign-NAS: Automatic FPGA/CNN codesign using neural architecture search MS Abdelfattah, L Dudziak, T Chau, R Lee, H Kim, ND Lane Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 11 | 2020 |
| 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 | 259 | 2018 |
| 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 | 2 | 2023 |
| Deep Learning-Based Autodetection of 5G NR mmWave Waveforms T Lee, A Mahadevan, H Kim, J Andrews IEEE International Conference on Communications (ICC), 2024 | | 2024 |
| Deep Learning-Based mmWave Beam Alignment with Only Pilot Channel Measurements T Lee, H Kim, J Andrews IEEE 2024 IEEE International Conference on Communications (ICC), 2024 | | 2024 |
| Deepcode and modulo-SK are designed for different settings H Kim, Y Jiang, S Kannan, S Oh, P Viswanath arXiv preprint arXiv:2008.07997, 2020 | 2 | 2020 |
| Deepcode: Feedback codes via deep learning H Kim, Y Jiang, S Kannan, S Oh, P Viswanath Advances in Neural Information Processing Systems (NeurIPS), 2018 | 118 | 2018 |
| 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 | 166 | 2020 |
| DeepIC: Coding for Interference Channels via Deep Learning K Chahine, N Ye, H Kim GLOBECOM 2021, 2021 | 7 | 2021 |
| DeepIC+: Learning Codes for Interference Channels K Chahine, Y Jiang, J Cho, H Kim IEEE Transactions on Wireless Communications, 2023 | | 2023 |
