Songnam Hong

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Computationally Demanding

Online Learning

Kernel Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Sungweon Hong, Yunseob Tae, Dongjun Lee, Gijin Park, Jaemyung Lim, Kyungjun Cho, Chunseok Jeong, Myeong-Jae Park, Songnam Hong, Jaeduk Han
Analog Circuit Design Automation via Sequential RL Agents and Gm/ID Methodology. IEEE Access 12 (2024)
Hyeonjin Chung, Songnam Hong, Sunwoo Kim
Efficient Multi-User Channel Estimation for RIS-Aided mmWave Systems Using Shared Channel Subspace. IEEE Trans. Wirel. Commun. 23 (8) (2024)
Ukjo Hwang, Songnam Hong
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm. CoRR (2023)
Yerim Noh, Songnam Hong
Compressed Sensing Based Active User Detection in MIMO Systems With One-Bit ADC. IEEE Trans. Veh. Technol. 72 (1) (2023)
Dohyeok Kwon, Jonghwan Park, Songnam Hong
Tighter Regret Analysis and Optimization of Online Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Songnam Hong, Jeongmin Chae
Distributed Online Learning With Multiple Kernels. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Jeongjae Lee, Songnam Hong
Channel Estimation for Ris-Aided Mmwave Mu-Mimo Systems: Collaborative Low-Rank Matrix Completion Approach. IC-NIDC (2023)
Dohyeok Kwon, Jonghwan Park, Songnam Hong
OFedIT: Communication-Efficient Online Federated Learning with Intermittent Transmission. ICTC (2022)
Jonghwan Park, Dohyeok Kwon, Songnam Hong
OFedQIT: Communication-Efficient Online Federated Learning via Quantization and Intermittent Transmission. CoRR (2022)
Songnam Hong, Jeongmin Chae
Active Learning With Multiple Kernels. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Songnam Hong, Jeongmin Chae
Communication-Efficient Randomized Algorithm for Multi-Kernel Online Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Jonghwan Park, Dohyeok Kwon, Songnam Hong
FedQOGD: Federated Quantized Online Gradient Descent with Distributed Time-Series Data. WCNC (2022)
Sungyeal Park, Yunseong Cho, Songnam Hong
Low-Complexity Symbol-Level Precoding for MU-MISO Downlink Systems with QAM Signals. CoRR (2021)
Jonghwan Park, Songnam Hong
Quantized Distributed Online Kernel Learning. ICTC (2021)
Sungyeal Park, Songnam Hong
Multiuser 1-Bit Precoding for Downlink MISO Systems with QAM Constellations. ICTC (2020)
Sungyeal Park, Yunseong Cho, Songnam Hong
Construction of 1-Bit Transmit Signal Vectors for Downlink MU-MISO Systems: QAM constellations. CoRR (2020)