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Songnam Hong

Identifiers

  • name variant Songnam Hong 0.60 · backfill

Papers (18)

  1. Federated Reinforcement Learning in Heterogeneous Environments cs.LG · 2025 · author #2
  2. Moderate Actor-Critic Methods: Controlling Overestimation Bias via Expectile Loss cs.LG · 2025 · author #2
  3. Blind Massive MIMO for Dense IoT Networks eess.SP · 2025 · author #2
  4. Piecewise Beam Training and Channel Estimation for RIS-Aided Near-Field Communications eess.SP · 2025 · author #2
  5. Near-Field LoS/NLoS Channel Estimation for RIS-Aided MU-MIMO Systems: Piece-Wise Low-Rank Approximation Approach eess.SP · 2024 · author #2
  6. Asymptotically Near-Optimal Hybrid Beamforming for mmWave IRS-Aided MIMO Systems eess.SP · 2024 · author #2
  7. Near-Field Channel Estimation for XL-RIS Assisted Multi-User XL-MIMO Systems: Hybrid Beamforming Architectures eess.SP · 2024 · author #5
  8. On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm cs.LG · 2023 · author #2
  9. Tighter Regret Analysis and Optimization of Online Federated Learning cs.LG · 2022 · author #3
  10. Low-Complexity Symbol-Level Precoding for MU-MISO Downlink Systems with QAM Signals cs.IT · 2021 · author #3
  11. Distributed Online Learning with Multiple Kernels cs.LG · 2021 · author #2
  12. Multiple Kernel-Based Online Federated Learning cs.LG · 2021 · author #2
  13. Distributed Online Learning with Multiple Kernels cs.LG · 2020 · author #2
  14. Pool-based sequential active learning with multi kernels cs.LG · 2020 · author #2
  15. Orthogonal Sparse Superposition Codes for Ultra-Reliable Low-Latency Communications cs.IT · 2020 · author #3
  16. Construction of 1-Bit Transmit Signal Vectors for Downlink MU-MISO Systems: QAM constellations cs.IT · 2020 · author #3
  17. Active Learning with Multiple Kernels cs.LG · 2020 · author #1
  18. Uplink Multiuser Massive MIMO Systems with One-Bit ADCs: A Coding-Theoretic Viewpoint cs.IT · 2017 · author #3

Mentions

  • 2507.14487 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2501.02985 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2504.09929 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2502.10836 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2410.13806 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2401.06966 #5 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2403.09083 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2305.06657 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2205.06491 #3 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2106.00433 #3 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2005.07879 #3 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2102.12733 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2102.10861 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2007.06739 #3 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2011.08930 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2010.11421 #2 · arxiv_oai · confidence 0.70 Songnam Hong
  • 2005.03188 #1 · arxiv_oai · confidence 0.70 Songnam Hong
  • 1702.00524 #3 · arxiv_oai · confidence 0.70 Songnam Hong

Frequent Coauthors