IISL@HYU

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 artificial intelligence, optimizations, statistical inference, information theory and a broad range of applications. Core topics include (but are not limited to) faster learning for hyperscale AI, distributed learning, reinforcement learning, AI for wireless communications, large-scale optimization, and statistical signal processing.

Opening

We are actively looking for motivated graduate students who are interested in machine learning, reinforcement learning, wireless communications, or optimizations.
- Openings for AI Algorithms/Optimizations and Reinforcement Learning in the Graduate School of Artificial Intelligence Semiconductor (인공지능반도체 대학원)
- Openings for Machine Learning (Continual Learning/Federated Learning/Many-Task Learning) and 6G Communications in the Department of Electronic Engineering (BK21, Beyond-G Global Innovation Center)

News

[May 2026] Y. Jeong, W. Ko, and S. Hong, "Bridging Drift-Plus-Penalty and MARL for Finite-Horizon Wireless Control," submitted to IEEE Globecom 2026.
[May 2026] W. Choi, J. Lee, and S. Hong, "Structure-Aware Learning for Rate-Splitting Multiple Access: Efficient Beamforming via Inverse-Free Reconstruction," submitted IEEE Globecom 2026.
[May 2026] J. Lee, J. Seong, S. Hong, W. Shin, M. Z. Win, "Near-Field Propagation Delay-Enabled RIS for Wideband LEO Satellite Communications: Beam-Squint Mitigation or Exploitation?" submitted to IEEE Globecom 2026.
[April 2026] J. Lee, J. Seong, S. Hong, W. Shin, M. Z. Win, "Near-Field Propagation Delay-Enabled RIS for Beam-Squint Control in Wideband LEO Satelite Communications," submitted to IEEE Transactions on Wireless Communications.
[April 2026] W. Choi, J. Lee, and S. Hong, "CSIT-Free Multi-Group Multicast Transmission in Overloaded mmWave Systems," accepted to IEEE VTC2026-Spring.
[April 2026] W. Ko, Y. Jeong, S.-W. Hong, and S. Hong, "LyMARL: A Lyapunov-Guided Multi-Agent Reinforcement Learning Framework for Energy-Aware Radio Resource Management," submitted to IEEE Internet of Things Journal.
[March 2026] W. Ko, Y. Jeong, S.-W. Hong, H.-T. Lim, and S. Hong, "LyMARL: Lyapunov-Guided MARL for Energy-Constrained User Association," Accepted to IEEE ICC Workshops.
[January 2026] S.-W. Hong, Y. Jeong, U. Hwang, and S. Hong, "QIPPO/CA: A Quantized Communication-Efficient MARL Framework for Fully Distributed Channel Access in Next-Generation Wireless Networks," IEEE Internet of Things Journal, vol. 13, no. 5, pp. 8615-8627, Mar. 2026.
[January 2026] W. Choi, J. Lee and S. Hong, "CSIT-Free Beamforming for Multi-Group Multicast in Overloaded mmWave Systems," submitted to IEEE Transactions on Wireless Communications.
[January 2026] J. Hong, H. Shin, S. Hong, and I. Song, "Automated Performance Optimization for RF Low-Noise Amplifiers: A Unified DRL-SPICE Framework and Algorithm Benchmarking," submitted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[November 2025] H. Joo, S. Lee, S. Hong, and D.-J. Shin, "Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning," submitted to IEEE Internet of Things Journal.

Repositories

IISL github repository: click here
IISL presentation repository: click here