2 citations · 2 across the 4 of their papers we have counts for
5 papers
Generative Actor-Critic with Soft Bridge Policies
Ke He, Le He, Shunpu Tang +2
Expressive generative policies such as diffusion and flow models are appealing for maximum-entropy (MaxEnt) online reinforcement learning because of their ability to model multimod…
Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networks
Ke He, Thang X. Vu, Le He +3
The rise of ultra-dense LEO constellations creates a complex and asynchronous network environment, driven by their massive scale, dynamic topologies, and significant delays. This u…
SCA-LLM: Spectral-Attentive LLM-Based Wireless World Modeling for Agentic Communications
Ke He, Le He, Lisheng Fan +4
Future AI-native wireless networks are moving from reactive optimization to agentic decision-making that can sense, predict, and plan under fast-varying channels. This calls for wi…
Learning based signal detection for MIMO systems with unknown noise statistics
Ke He, Le He, Lisheng Fan +3
This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) systems.…
Towards Optimally Efficient Search with Deep Learning for Large-Scale MIMO Systems
Le He, Ke He, Lisheng Fan +3
This paper investigates the optimal signal detection problem with a particular interest in large-scale multiple-input multiple-output (MIMO) systems. The problem is NP-hard and can…