Information and Intelligence Systems Lab (IISL) is a research group in the Department of Electronic Engineering (and affiliated with the Graduate School of Aritificial Intelligence Semiconductor) at Hanyang University. Our research focuses on machine learning, optimizations, statistical inference, information theory and a broad range of applications. Core topics include (but are not limited to) faster learning for hyperscale AI, reinforcement learning, AI for wireless communications/circuit design, large-scale optimization and statistical signal processing.
Opening
[Graduate students] We are actively looking for motivated graduate students who are interested in machine/deep learning, 6G communications, reinforcement learning, or large-scale optimizations. If you are interested in joining our group, please feel free to contact me via email.
Openings for AI Algorithms in the Graduate School of Artificial Intelligence Semiconductor (인공지능반도체 대학원)
Openings for Machine Learning, Large-Scale Optimizations, and 6G Communications in the Department of Electronic Engineering (BK21)
News
[Submitted Papers]
J. Lee and S. Hong, "Asymptotically Near-Optimal Hybrid Beamforming for mmWave IRS-Aided MIMO Systems," submitted to IEEE Transactions on Vehicular Technology, Apr. 2024.
J. Lee, H. Chung, Y. Cho, S. Kim and S. Hong, "Near-Field Channel Estimation for XL-RIS Assisted Multi-User XL-MIMO Systems: Hybrid Beamforming Architectures," submitted to IEEE Transactions on Communications, Apr. 2024.
[Recently Accepted/Published Papers]
U. Hwang and S. Hong, "On Practical Robust Reinforcement Learning: Adjacent Uncertainty Set and Double-Agent Algorithm," accepted to IEEE Transactions on Neural Networks and Learning Systems, Apr. 2024.
H. Chung, S. Hong and S. Kim, "Efficient Multi-User Channel Estimation for RIS-Aided mmWave Systems Using Shared Channel Subspace," accepted to IEEE Transactions on Wireless Communications, Jan. 2024.
D. Kwon, J. Park and S. Hong, "Tighter Regret Analysis and Optimization of Online Federated Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 12, pp. 15772-15789, Dec. 2023.
S. Hong, "Online Multikernel Learning Method Via Online Biconvex Optimization," accepted to IEEE Transactions on Neural Networks and Learning Systems, July, 2023.
S. Hong and J. Chae, "Distributed Online Learning with Multiple Kernels," IEEE Transactions on Neural Networks and Learning Systems, vol. 34, pp. 1263-1277, Mar. 2023.
Repositories
IISL github repository: click here
IISL presentation repository: click here