Ke He (何科)
Scholar

Ke He (何科)

Google Scholar ID: FyJfgS4AAAAJ
University of Luxembourg
reinforcement learninggenerative modelssignal processing
Citations & Impact
All-time
Citations
746
 
H-index
10
 
i10-index
10
 
Publications
16
 
Co-authors
0
 
Publications
16 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Involved in several open-source projects such as risk_aware_marl, SCA-LLM, hats, manfe, and project_dcnnmld. These projects cover areas like deep learning, multi-agent systems, and wireless communication technologies.
Research Experience
  • Engaged in research related to MIMO-OFDM, including the application of risk-aware multi-agent deep reinforcement learning in ultra-dense LEO satellite networks, spectral-attentive channel prediction with large language models, and MIMO signal detection using hyper-accelerated tree search algorithms.
Education
  • University of Luxembourg
Background
  • Describes himself as a wide-eyed wanderer, working from home.
Miscellany
  • Has 49 stars, follows 4 users, and is followed by 19 users.
Co-authors
0 total
Co-authors: 0 (list not available)