most citedLarge Language Models for Networking: Applications, Enabling Techniques, and Challenges

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2024

Programmable Cycle-Specified Queue for Long-Distance Industrial Deterministic Packet Scheduling

Yudong Huang, Shuo Wang, Shiyin Zhu +4

The time-critical industrial applications pose intense demands for enabling long-distance deterministic networks. However, previous priority-based and weight-based scheduling metho…

cs.NI2024

CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks

Yudong Huang, Tao Huang, Xinyuan Zhang +4

Booming time-critical services, such as automated manufacturing and remote operations, stipulate increasing demands for facilitating large-scale Industrial Internet of Things (IoT)…

cs.LG2024★ 1 cited

Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization

Xinyuan Zhang, Jiang Liu, Zehui Xiong +3

Generative Artificial Intelligence (GAI) is taking the world by storm with its unparalleled content creation ability. Large Language Models (LLMs) are at the forefront of this move…

cs.NI2023★ 2 cited

Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

Yudong Huang, Hongyang Du, Xinyuan Zhang +5

The rapid evolution of network technologies and the growing complexity of network tasks necessitate a paradigm shift in how networks are designed, configured, and managed. With a w…

cs.NI2023★ 1 cited

AI-Generated Network Design: A Diffusion Model-based Learning Approach

Yudong Huang, Minrui Xu, Xinyuan Zhang +4

The future networks pose intense demands for intelligent and customized designs to cope with the surging network scale, dynamically time-varying environments, diverse user requirem…