9 citations · 13 across the 13 of their papers we have counts for
14 papers
SemABR: Measuring Video Semantic Fidelity with Multimodal LLMs for Adaptive Bitrate Streaming
Shiqi Xu, Soung Chang Liew, Yuyang Du
Conventional video metrics such as PSNR, SSIM, and VMAF measure visual distortion or perceptual quality, but they do not directly capture semantic preservation: whether compression…
ICL-SEC: Iterative Cross-Layer Semantic Error Correction
Yirun Wang, Soung Chang Liew, Yuyang Du
Iterative decoding has been central to the success of modern channel coding, where reliability information is repeatedly exchanged across decoding components to approach fundamenta…
Broadcast Rate Limits in Wi-Fi: A Forgotten Bottleneck for Collaborative Edge LLM Inference
Liujianfu Wang, Yuyang Du, Shiqi Xu +1
LLM deployment is migrating from data centers to edge devices, where Mixture-of-Experts (MoE) models offer a promising path: sparse expert activation allows the model to be spread…
Real-Time Cross-Layer Semantic Error Correction Using Language Models and Software-Defined Radio
Yuchen Pan, Yuyang Du, Yirun Wang +3
As Language Models (LMs) advance, Semantic Error Correction (SEC) has emerged as a promising approach for reliable network designs. Yet existing methods prioritize intent over accu…
LightGuard: Transparent WiFi Security via Physical-Layer LiFi Key Bootstrapping
Shiqi Xu, Yuyang Du, Mingyue Zhang +2
WiFi is inherently vulnerable to eavesdropping because RF signals may penetrate many physical boundaries, such as walls and floors. LiFi, by contrast, is an optical method confined…
CL-SEC: Cross-Layer Semantic Error Correction Empowered by Language Models
Yirun Wang, Yuyang Du, Soung Chang Liew +3
Achieving reliable communication has long been a fundamental challenge in networked systems. Semantic Error Correction (SEC) leverages the semantic understanding capabilities of la…
A Hybrid TDMA/CSMA Protocol for Time-Sensitive Traffic in Robot Applications
Shiqi Xu, Lihao Zhang, Yuyang Du +2
Recent progress in robotics has underscored the demand for real-time control in applications such as manufacturing, healthcare, and autonomous systems, where the timely delivery of…
SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding
Feifan Zhang, Yuyang Du, Yifan Xiang +2
This paper introduces SA-OOSC, a multimodal large language models (MLLM)-distilled semantic communication framework that achieves efficient semantic coding with scenario-aware impo…
LLMind 2.0: Distributed IoT Automation with Natural Language M2M Communication and Lightweight LLM Agents
Yuyang Du, Qun Yang, Liujianfu Wang +3
Recent advances in large language models (LLMs) have generated great interest in their applications for IoT automation and device management. However, centralized approaches strugg…
LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution
Hongwei Cui, Yuyang Du, Qun Yang +2
Task-oriented communications are an important element in future intelligent IoT systems. Existing IoT systems, however, are limited in their capacity to handle complex tasks, parti…
Nonlinear Multi-Carrier System with Signal Clipping: Measurement, Analysis, and Optimization
Yuyang Du, Liang Hao, Yiming Lei +2
Signal clipping is a classic technique for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. It has been widely applied in c…
Reliable Packet Detection for Random Access Networks: Analysis, Benchmark, and Optimization
Yuyang Du, Soung Chang Liew
This paper reexamines and fundamentally improves the Schmidl-and-Cox (S&C) algorithm, which is extensively used for packet detection in wireless networks, and enhances its adaptabi…
The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms
Yuyang Du, Hongyu Deng, Soung Chang Liew +3
Large language models (LLMs) have garnered significant attention across various research disciplines, including the wireless communication community. There have been several heated…
Efficient FFT Computation in IFDMA Transceivers
Yuyang Du, Soung Chang Liew, Yulin Shao
Interleaved Frequency Division Multiple Access (IFDMA) has the salient advantage of lower Peak-to-Average Power Ratio (PAPR) than its competitors like Orthogonal FDMA (OFDMA). A re…