collaborators

9 papers

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.SP2026

ConsisFormer: Compute-Efficient Transformer for Wireless Foundation Models Based on Channel Consistency

Yuwei Wang, Li Sun, Tingting Yang +4

Wireless foundation models (WFMs) have recently emerged as a promising paradigm for AI-native 6G networks, enabling universal channel representations adaptable to diverse communica…

cs.MM2026

Contextual Wireless Video Semantic Communication in MIMO-OFDM Systems

Bingyan Xie, Cong Zhou, Yuxuan Shi +3

This paper proposes a MIMO-OFDM-based context video semantic transmission framework, namely M-CVST, for robust video communication over multi-path multiple-input multiple-output (M…

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.MM2026

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…