| Chebyshev polynomial codes: Task entanglement-based coding for distributed matrix multiplication S Hong, H Yang, Y Yoon, T Cho, J Lee International Conference on Machine Learning, 4319-4327, 2021 | 9 | 2021 |
| Optimized shallow neural networks for sum-rate maximization in energy harvesting downlink multiuser NOMA systems H Kim, T Cho, J Lee, W Shin, HV Poor IEEE Journal on Selected Areas in Communications 39 (4), 982-997, 2020 | 6 | 2020 |
| Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion T Cho, S Han, H Lee, K Lee, J Lee Advances in Neural Information Processing Systems 36, 2024 | 1* | 2024 |
| On the convergence of continual learning with adaptive methods S Han, Y Kim, T Cho, J Lee Uncertainty in Artificial Intelligence, 809-818, 2023 | 1 | 2023 |
| SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning D Lee, S Han, T Cho, J Lee Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels H Kim, T Cho, J Lee, W Shin, HV Poor 2020 IEEE International Symposium on Information Theory (ISIT), 2498-2503, 2020 | | 2020 |
