16 citations · 17 across the 6 of their papers we have counts for
6 papers
Argus: Token Aware Distributed LLM Inference Optimization
Panlong Wu, Yifei Zhong, Danyang Chen +2
Large Language Models (LLMs) are rapidly being integrated into real-world applications, yet their autoregressive architectures introduce significant inference time variability, esp…
DeepForm: Reasoning Large Language Model for Communication System Formulation
Panlong Wu, Ting Wang, Yifei Zhong +3
Communication system formulation is critical for advancing 6G and future wireless technologies, yet it remains a complex, expertise-intensive task. While Large Language Models (LLM…
Federated In-Context LLM Agent Learning
Panlong Wu, Kangshuo Li, Junbao Nan +1
Large Language Models (LLMs) have revolutionized intelligent services by enabling logical reasoning, tool use, and interaction with external systems as agents. The advancement of L…
LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication
Panlong Wu, Qi Liu, Yanjie Dong +1
The next generation of communication is envisioned to be intelligent communication, that can replace traditional symbolic communication, where highly condensed semantic information…
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models
Panlong Wu, Kangshuo Li, Ting Wang +1
Foundation models have shown great success in natural language processing, computer vision, and multimodal tasks. FMs have a large number of model parameters, thus requiring a subs…
MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning
Duo Wu, Panlong Wu, Miao Zhang +1
The popularity of immersive videos has prompted extensive research into neural adaptive tile-based streaming to optimize video transmission over networks with limited bandwidth. Ho…