Most up-to-date list of publications:

Available at Google scholar.

Conference proceedings:

• Y. Jiang, H. Kim, H. Asnani, S. Oh, S. Kannan, P. Viswanath, "Feedback Turbo Encoder," International conference on acoustics speech and signal processing (ICASSP), 2020 (invited)

• Y. Jiang, H. Kim, H. Asnani, S. Kannan, S. Oh, P. Viswanath, "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels," Conference on Neural Information Processing Systems (NeurIPS), Vancouver, December 2019

• Y. Jiang, H. Kim, H. Asnani, S. Kannan, S. Oh, P. Viswanath, "DeepTurbo: Deep Turbo Decoder," IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, July 2019 (invited)

• Y. Jiang, H. Kim, H. Asnani, S. Kannan, "MIND: Model Independent Neural Decoder," IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, July 2019 (invited)

• Y. Jiang, H. Kim, H. Asnani, S. Kannan, S. Oh, and P. Viswanath, “LEARN Codes: Inventing low-latency codes via recurrent neural networks," 53rd IEEE International Conference on Communications (ICC), Shanghai, May 2019

• H. Kim, Y. Jiang, S. Kannan, S. Oh, P. Viswanath, "Deepcode: Feedback Codes via Deep Learning" Conference on Neural Information Processing Systems (NeurIPS), Montreal, December 2018

• H. Kim, Y. Jiang, R. Rana, S. Kannan, S. Oh, P. Viswanath, ‘‘Communication Algorithms via Deep Learning," the 6th International Conference on Learning Representations (ICLR), Vancouver, April 2018

• H. Kim, W. Gao, S. Kannan, S. Oh, and P. Viswanath, ‘‘Discovering potential correlations via hypercontractivity," Conference on Neural Information Processing Systems (NIPS), Long Beach, December 2017

• C. Nair, H. Kim, and A. El Gamal, ‘‘On the Optimality of Randomized Time Division and Superposition Coding Inner Bounds for the Broadcast Channel," IEEE Information Theory Workshop (ITW), Cambridge, 2016

• H. Kim, B. Nachman, and A. El Gamal, ‘‘Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel," Proceedings of the IEEE International Symposium on Information Theory (ISIT), July 2015 (semi-plenary session)

• H. Kim and A. El Gamal, ‘‘Capacity Region of the Broadcast Channel with Two Deterministic Channel State Components," Proceedings of the IEEE International Symposium on Information Theory (ISIT), July 2014

• H. Kim, J. Hong, and W. Choi, ‘‘A Two-level Decision Fusion Rule for Cooperative Sensing in Cognitive Radio Systems," 2010 Summer Conference of Korea Information and Communications Society, Jeju island, South Korea, June. 22-24, 2010

Journals:

• Y. Jiang, H. Kim, H. Asnani, S. Kannan, S. Oh, and P. Viswanath, “LEARN Codes: Inventing low-latency codes via recurrent neural networks," to appear in IEEE Journal on Selected Areas in Information Theory, 2020

• H. Kim, Y. Jiang, S. Kannan, S. Oh, P. Viswanath, "Deepcode: Feedback Codes via Deep Learning", to appear in IEEE Journal on Selected Areas in Information Theory, 2020

• H. Kim, W. Gao, S. Kannan, S. Oh, and P. Viswanath, ‘‘Discovering potential correlations via hypercontractivity," Entropy (Special Issue: Information Theory in Machine Learning and Data Science), 2017, 19, 586

• H. Kim and A. El Gamal, ‘‘Capacity Theorems for Broadcast Channels with Two Channel State Components Known at the Receivers," IEEE Transactions on Information Theory, Vol. 62, No.12, December 2016

• H. Kim, B. Nachman, and A. El Gamal, ‘‘Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel," IEEE Transactions on Information Theory, Vol. 62, No. 4, April 2016

• H. Kim, Y. K. Chia, and A. El Gamal, ‘‘A Note on Broadcast Channels with Stale State Information at the Transmitter," IEEE Transactions on Information Theory, Vol. 61, No. 7, July 2015

• S. Jung, J. Sung, Y. Bang, M.Kserawi, H. Kim, J.-K.K. Lee, ‘‘Greedy Local Routing Strategy for Autonomous Global Load Balancing Based on Three-Dimensional Potential Field," IEEE Communications Letters, Vol. 14, No. 9, September 2010