Publications (9)
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…
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 MaxEnt online reinforcement learning because of their ability to model multimodal and highly non-…
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…
Light Drag Effect of Vacuum Tube Versus Light Propagation in Stationary Vacuum Tube with Moving Source and Receiver
Ruyong Wang, Li Zhan, Le He +2
We presented a new way to examine the principle of relativity of Special Relativity. According to the principle of relativity, the light dragging by moving media and the light prop…
regularity of weighted Bergman projection on Fock-Bargmann-Hartogs domain
Le He, Yanyan Tang, Zhenhan Tu
The Fock-Bargmann-Hartogs domain is defined by where …
Ambient Electro-Synthesis of Ammonia - Electrode Porosity and Composition Engineering
Hong Wang, Lu Wang, Qiang Wang +13
Ammonia, key precursor for fertilizer production, convenient hydrogen carrier and emerging clean fuel, plays a pivotal role in sustaining life on earth. Currently, the main route f…
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…
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.…
Will you donate money to a chatbot? The effect of chatbot anthropomorphic features and persuasion strategies on willingness to donate
Ekaterina Novozhilova, Jiacheng Huang, Le He +2
This work investigates the causal mechanism behind the effect of chatbot personification and persuasion strategies on users' perceptions and donation likelihood. In a 2 (personifie…