142 citations · 487 across the 83 of their papers we have counts for
6 papers · 1 filter
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
Yuxuan Chen, Rongpeng Li, Zhifeng Zhao +1
We present MERLOT, a scalable mixture-of-expert (MoE) based refinement of distilled large language model optimized for encrypted traffic classification. By applying model distillat…
Adapted Swin Transformer-based Real-Time Plasma Shape Detection and Control in HL-3
Qianyun Dong, Zhengwei Chen, Rongpeng Li +6
In the field of magnetic confinement plasma control, the accurate feedback of plasma position and shape primarily relies on calculations derived from magnetic measurements through…
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
Yuxuan Chen, Rongpeng Li, Xiaoxue Yu +2
Optimizing the deployment of large language models (LLMs) in edge computing environments is critical for enhancing privacy and computational efficiency. Toward efficient wireless L…
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
Xiaoxue Yu, Xingfu Yi, Rongpeng Li +4
In the evolution towards 6G, integrating Artificial Intelligence (AI) with advanced network infrastructure emerges as a pivotal strategy for enhancing network intelligence and reso…
Topology Data Analysis-based Error Detection for Semantic Image Transmission with Incremental Knowledge-based HARQ
Fei Ni, Rongpeng Li, Zhifeng Zhao +1
Semantic communication (SemCom) aims to achieve high fidelity information delivery under low communication consumption by only guaranteeing semantic accuracy. Nevertheless, semanti…
Interplay of Semantic Communication and Knowledge Learning
Fei Ni, Bingyan Wang, Rongpeng Li +2
In the swiftly advancing realm of communication technologies, Semantic Communication (SemCom), which emphasizes knowledge understanding and processing, has emerged as a hot topic.…