78 citations · 230 across the 45 of their papers we have counts for
45 papers
AirTF: Over-the-Air Token Fusion for Task-Oriented Multi-Modal Token Communications
Bole Liu, Li Qiao, Minghui Wu +2
In the Internet of Vehicles (IoV), transmitting high-dimensional multi-modal sensory data to edge servers for time-sensitive tasks faces severe spectrum bottlenecks. To address thi…
Accelerating Heterogeneous Agent Collaboration in Dynamic Edge Networks
Tianji He, Yulin Shao, Fen Hou
Deploying large language models (LLMs) at the network edge is hindered by their enormous cost, yet the reasoning quality they provide remains indispensable. Heterogeneous collabora…
Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN
Chenghong Bian, Yulin Shao, Deniz Gunduz
The rapid growth of data traffic and the emerging AI-native wireless architectures in NextG cellular systems place new demands on the fronthaul links of Cloud Radio Access Networks…
Variable-Length Feedback Codes via Deep Learning
Wenwei Lai, Yulin Shao, Yu Ding +1
Variable-length feedback coding has the potential to significantly enhance communication reliability in finite block length scenarios by adapting coding strategies based on real-ti…
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models
Feifan Zhang, Yuyang Du, Kexin Chen +2
Semantic communication is a promising technology for next-generation wireless networks. However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) mo…
A Deep Joint Source-Channel Coding Scheme for Hybrid Mobile Multi-hop Networks
Chenghong Bian, Yulin Shao, Deniz Gündüz
Efficient data transmission across mobile multi-hop networks that connect edge devices to core servers presents significant challenges, particularly due to the variability in link…
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Haotian Wu, Maojun Zhang, Yulin Shao +2
Acquiring and utilizing accurate channel state information (CSI) can significantly improve transmission performance, thereby holding a crucial role in realizing the potential advan…
Process-and-Forward: Deep Joint Source-Channel Coding Over Cooperative Relay Networks
Chenghong Bian, Yulin Shao, Haotian Wu +2
We introduce deep joint source-channel coding (DeepJSCC) schemes for image transmission over cooperative relay channels. The relay either amplifies-and-forwards its received signal…
Point Cloud in the Air
Yulin Shao, Chenghong Bian, Li Yang +3
Acquisition and processing of point clouds (PCs) is a crucial enabler for many emerging applications reliant on 3D spatial data, such as robot navigation, autonomous vehicles, and…
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…
A Hybrid Joint Source-Channel Coding Scheme for Mobile Multi-hop Networks
Chenghong Bian, Yulin Shao, Deniz Gunduz
We propose a novel hybrid joint source-channel coding (JSCC) scheme for robust image transmission over multi-hop networks. In the considered scenario, a mobile user wants to delive…
Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels
Haotian Wu, Yulin Shao, Chenghong Bian +2
This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple-output (M…
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…
Transformer-aided Wireless Image Transmission with Channel Feedback
Haotian Wu, Yulin Shao, Emre Ozfatura +2
This paper presents a novel wireless image transmission paradigm that can exploit feedback from the receiver, called DeepJSCC-ViT-f. We consider a block feedback channel model, whe…
Over-the-Air Learning-based Geometry Point Cloud Transmission
Chenghong Bian, Yulin Shao, Deniz Gunduz
This paper presents novel solutions for the efficient and reliable transmission of point clouds over wireless channels for real-time applications. We first propose SEmatic Point cl…
DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission
Chenghong Bian, Yulin Shao, Deniz Gunduz
This paper presents a novel vision transformer (ViT) based deep joint source channel coding (DeepJSCC) scheme, dubbed DeepJSCC-l++, which can be adaptive to multiple target bandwid…
Channel Cycle Time: A New Measure of Short-term Fairness
Pengfei Shen, Yulin Shao, Haoyuan Pan +2
This paper puts forth a new metric, dubbed channel cycle time (CCT), to measure the short-term fairness of communication networks. CCT characterizes the average duration between tw…
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning
Lizhao You, Xinbo Zhao, Rui Cao +2
This paper presents the first orthogonal frequency-division multiplexing(OFDM)-based digital over-the-air computation (AirComp) system for wireless federated edge learning, where m…
A Theory of Semantic Communication
Yulin Shao, Qi Cao, Deniz Gunduz
Semantic communication is an emerging research area that has gained a wide range of attention recently. Despite this growing interest, there remains a notable absence of a comprehe…
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes
Emre Ozfatura, Yulin Shao, Amin Ghazanfari +3
Deep neural network (DNN)-assisted channel coding designs, such as low-complexity neural decoders for existing codes, or end-to-end neural-network-based auto-encoder designs are ga…
Deep Joint Source-Channel Coding Over Cooperative Relay Networks
Chenghong Bian, Yulin Shao, Haotian Wu +1
This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for image transmission over a half-duplex cooperative relay channel. Specifically, we apply DeepJSCC…
Decentralized Channel Management in WLANs with Graph Neural Networks
Zhan Gao, Yulin Shao, Deniz Gunduz +1
Wireless local area networks (WLANs) manage multiple access points (APs) and assign scarce radio frequency resources to APs for satisfying traffic demands of associated user device…
Vision Transformer for Adaptive Image Transmission over MIMO Channels
Haotian Wu, Yulin Shao, Chenghong Bian +2
This paper presents a vision transformer (ViT) based joint source and channel coding (JSCC) scheme for wireless image transmission over multiple-input multiple-output (MIMO) system…
Space-time design for deep joint source channel coding of images Over MIMO channels
Chenghong Bian, Yulin Shao, Haotian Wu +1
We propose novel deep joint source-channel coding (DeepJSCC) algorithms for wireless image transmission over multi-input multi-output (MIMO) Rayleigh fading channels, when channel…