2 citations · 3 across the 25 of their papers we have counts for
11 papers · 1 filter
NebulaSD: Many-for-Many Speculative Decoding
Junhao He, Hongyang Du
Speculative decoding accelerates Large Language Model (LLM) inference by using a lightweight draft model to propose candidate tokens for parallel verification by a target model. Dr…
HACO: Hedged Agent Computing for Reliable LLM Systems
Enhan Li, Hongyang Du
As large language model (LLM) agents move from isolated prompting to longhorizon workflows, failures increasingly arise at the role-to-instance binding boundary, where task-specifi…
MORES: Mobile Reasoning-as-a-Service via Distributed LLM Inference-Time Scaling
Guanchen Liu, Hongyang Du, Kaibin Huang
Inference-time scaling has emerged as an effective approach for enhancing the capabilities of Large Language Models (LLMs), addressing the growing demand for stronger reasoning wit…
JAUNT: Joint Alignment of User Intent and Network State for QoE-centric LLM Tool Routing
Enhan Li, Hongyang Du
Large Language Models (LLMs) increasingly rely on emerging protocols such as the Model Context Protocol (MCP) to invoke external tools and services. However, current tool routing m…
NetMCP: Network-Aware Model Context Protocol Platform for LLM Capability Extension
Enhan Li, Hongyang Du, Kaibin Huang
Large Language Models (LLMs) remain static in functionality after training, and extending their capabilities requires integration with external data, computation, and services. The…
Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution
Xingkun Yin, Feiran You, Hongyang Du +1
We introduce ubiquitous intelligence as a paradigm where Large Language Models (LLMs) evolve within wireless network-driven ecosystems. Unlike static model deployments, this approa…
M3LLM: Model Context Protocol-aided Mixture of Vision Experts For Multimodal LLMs in Networks
Yongjie Zeng, Hongyang Du
Current Multimodal Large Language Models (MLLMs) rely on centralized architectures and often suffer from poor alignment between the input task and their fixed visual encoding modul…
DRESS: Diffusion Reasoning-based Reward Shaping Scheme For Intelligent Networks
Feiran You, Hongyang Du, Xiangwang Hou +2
Network optimization remains fundamental in wireless communications, with Artificial Intelligence (AI)-based solutions gaining widespread adoption. As Sixth-Generation (6G) communi…
Hallucination-aware Optimization for Large Language Model-empowered Communications
Yinqiu Liu, Guangyuan Liu, Ruichen Zhang +5
Large Language Models (LLMs) have significantly advanced communications fields, such as Telecom Q\&A, mathematical modeling, and coding. However, LLMs encounter an inherent issue k…
JPPO++: Joint Power and Denoising-inspired Prompt Optimization for Mobile LLM Services
Feiran You, Hongyang Du, Kaibin Huang +1
Large Language Models (LLMs) are increasingly integrated into mobile services over wireless networks to support complex user requests. This trend has led to longer prompts, which i…
Hierarchical Micro-Segmentations for Zero-Trust Services via Large Language Model (LLM)-enhanced Graph Diffusion
Yinqiu Liu, Guangyuan Liu, Hongyang Du +5
In the rapidly evolving Next-Generation Networking (NGN) era, the adoption of zero-trust architectures has become increasingly crucial to protect security. However, provisioning ze…