activity
20242026
collaborators

29 papers

cs.MM2026

Toward Generative Video Communication: A Dual-Stream Digital Transmission Framework

Bingyan Xie, Longyu Zhou, Tianhao Liang +4

Generative video communication has shown promise for bandwidth-constrained wireless transmission and has the potential to support personalized content delivery. In this article, we…

cs.LG2026

Loss-Resilient Wireless Video Token Communication over Block Fading Channels

Bingyan Xie, Yongjeong Oh, Zihan Chen +3

Video token communication represents video content as discrete tokens that differ in their importance to reconstruction and exhibit temporal dependencies. When these tokens are pac…

cs.IT2026

Media Meets Communication in 6G: Fundamentals, Key Technologies, and Applications

Bingyan Xie, Longyu Zhou, Zihan Chen +9

The rapid advancement of sixth-generation (6G) networks is accelerating the convergence of media intelligence and communication intelligence, driving media communication beyond con…

cs.IT2026

On the Gaussian-Quadratic Rate-Distortion Function for Vector Sources with Individual Distortion Constraints

Shuao Chen, Junyuan Gao, Yuxuan Shi +4

This paper investigates the Gaussian-quadratic lossy compression with arbitrary source length under individual distortion constraints. The rate-distortion function (RDF) is lower-b…

eess.IV2026

Large Language Model-Enhanced Multi-hop Parallel Image Semantic Communication

Bingyan Xie, Jihong Park, Rui Mao +4

This paper proposes a large language model-enhanced multi-hop parallel image semantic communication (LLM-MHPSC) framework to mitigate distortion accumulation in multi-hop wireless…

eess.SP2026

MD-AirComp+: Adaptive Quantization for Blind Massive Digital Over-the-Air Computation

Li Qiao, Yueqing Wang, Hanjun Jiang +4

Recent research has shown that unsourced massive access (UMA) is naturally well-suited for over-the-air computation (AirComp), as it does not require knowledge of each individual s…

cs.IT2026

FDD CSI Feedback under Finite Downlink Training: A Rate-Distortion Perspective

Shuao Chen, Junyuan Gao, Yuxuan Shi +4

This paper establishes the theoretical limits of channel state information (CSI) feedback in frequency-division duplexing (FDD) multi-antenna orthogonal frequency-division multiple…

cs.IT2026

Joint Lossy Compression for a Vector Gaussian Source under Individual Distortion Criteria

Shuao Chen, Junyuan Gao, Yuxuan Shi +4

This paper investigates the joint compression problem of a vector Gaussian source, where an individual distortion constraint is imposed on each source component. It is known that t…

cs.IT2025

Context Video Semantic Transmission with Variable Length and Rate Coding over MIMO Channels

Bingyan Xie, Yongpeng Wu, Wenjun Zhang +2

The evolution of semantic communications has profoundly impacted wireless video transmission, whose applications dominate driver of modern bandwidth consumption. However, most exis…

eess.SP2025

Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network

Zhuoran Li, Zhen Gao, Xinhua Liu +6

The advent of sixth-generation (6G) places intelligence at the core of wireless architecture, fusing perception, communication, and computation into a single closed-loop. This pape…

cs.MM2025

Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation

Bingyan Xie, Yongpeng Wu, Yuxuan Shi +4

Existing wireless video transmission schemes directly conduct video coding in pixel level, while neglecting the inner semantics contained in videos. In this paper, we propose a wir…

cs.IT2025

Multi-hop Parallel Image Semantic Communication for Distortion Accumulation Mitigation

Bingyan Xie, Jihong Park, Yongpeng Wu +2

Existing semantic communication schemes primarily focus on single-hop scenarios, overlooking the challenges of multi-hop wireless image transmission. As semantic communication is i…

cs.IT2025

Age of Semantic Information-Aware Wireless Transmission for Remote Monitoring Systems

Xue Han, Biqian Feng, Yongpeng Wu +3

Semantic communication is emerging as an effective means of facilitating intelligent and context-aware communication for next-generation communication systems. In this paper, we pr…

cs.IT2025

Semantic-aided Parallel Image Transmission Compatible with Practical System

Mingkai Xu, Yongpeng Wu, Yuxuan Shi +4

In this paper, we propose a novel semantic-aided image communication framework for supporting the compatibility with practical separation-based coding architectures. Particularly,…

cs.IT2025

Grant-Free Random Access in Uplink LEO Satellite Communications with OFDM

Rui Mao, Yongpeng Wu, Boxiao Shen +3

This paper investigates joint device activity detection and channel estimation for grant-free random access in Low-earth orbit (LEO) satellite communications. We consider uplink co…

cs.IT2025

Finite-Blocklength Information Theory

Junyuan Gao, Shuao Chen, Yongpeng Wu +4

Traditional asymptotic information-theoretic studies of the fundamental limits of wireless communication systems primarily rely on some ideal assumptions, such as infinite blocklen…

cs.NI2025

Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels

Bingyan Xie, Yongpeng Wu, Feng Shu +2

This paper focuses on a typical uplink transmission scenario over multiple-input multiple-output multiple access channel (MIMO-MAC) and thus propose a multi-user learnable CSI fusi…

cs.MM2025

WVSC: Wireless Video Semantic Communication with Multi-frame Compensation

Bingyan Xie, Yongpeng Wu, Yuxuan Shi +4

Existing wireless video transmission schemes directly conduct video coding in pixel level, while neglecting the inner semantics contained in videos. In this paper, we propose a wir…

cs.IT2025

RWZC: A Model-Driven Approach for Learning-based Robust Wyner-Ziv Coding

Yuxuan Shi, Shuo Shao, Yongpeng Wu +2

In this paper, a novel learning-based Wyner-Ziv coding framework is considered under a distributed image transmission scenario, where the correlated source is only available at the…

cs.LG2025

Learnable Residual-Based Latent Denoising in Semantic Communication

Mingkai Xu, Yongpeng Wu, Yuxuan Shi +3

A latent denoising semantic communication (SemCom) framework is proposed for robust image transmission over noisy channels. By incorporating a learnable latent denoiser into the re…

cs.IT2025

Energy Efficiency Maximization for Movable Antenna-Enhanced System Based on Statistical CSI

Xintai Chen, Biqian Feng, Yongpeng Wu +1

This paper investigates an innovative movable antenna (MA)-enhanced multiple-input multiple-output (MIMO) system designed to enhance communication performance. We aim to maximize t…

cs.IT2025

SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission

Xue Han, Yongpeng Wu, Zhen Gao +4

Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication systems, particularly in challenging transmission environments. In this paper, we propo…

cs.IT2024

LEO Satellite-Enabled Random Access with Large Differential Delay and Doppler Shift

Boxiao Shen, Yongpeng Wu, Wenjun Zhang +2

This paper investigates joint device identification, channel estimation, and symbol detection for LEO satellite-enabled grant-free random access systems, specifically targeting sce…

cs.IT2024

Probabilistic Shaped Multilevel Polar Coding for Wiretap Channel

Li Shen, Yongpeng Wu, Peihong Yuan +3

A wiretap channel is served as the fundamental model of physical layer security techniques, where the secrecy capacity of the Gaussian wiretap channel is proven to be achieved by G…