activity
20242026
collaborators

9 papers

eess.IV2026

Tokenized Joint Source-Network Coding for Loss-Resilient Video Streaming

Ke Yang, Sixian Wang, Kailin Tan +4

For decades, conventional video streaming systems have relied on packet-level forward error correction (FEC) codes and retransmissions to ensure reliable video delivery. However, i…

eess.IV2026

Loss-Resilient Semantic Communication over Packet-Loss Networks at Extreme-Low Bandwidth

Shengshi Yao, Jincheng Dai, Sixian Wang +5

In extreme-low bandwidth network scenarios, generative semantic codecs have emerged as promising solutions to reduce bandwidth cost for visual communications. However, these learne…

eess.SP2026

GVC-RT: Towards Real-Time Generative Video Compression at Ultra-Low Bitrates

Tianjian Dang, Sixian Wang, Lei Luo +2

Recent generative video codecs (GVCs) have achieved impressive reconstruction fidelity at ultra-low bitrates (< 0.02 bits per pixel) by compressing the tokens from generative token…

cs.IT2026

On the Nonasymptotic Bounds of Joint Source-Channel Coding with Hierarchical Sources

Shuo Shao, Chao Qi, Jincheng Dai +2

This paper establishes tractable bounds of joint source-channel coding with hierarchical sources in the finite blocklength regime. In this setting, both the indirect source and obs…

cs.CV2026

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors

Yunuo Chen, Chuqin Zhou, Jiangchuan Li +5

We present a novel paradigm for ultra-low-bitrate image compression (ULB-IC) that exploits the ``temporal'' evolution in generative image compression. Specifically, we define an ex…

cs.CV2026

Dual-Representation Image Compression at Ultra-Low Bitrates via Explicit Semantics and Implicit Textures

Chuqin Zhou, Xiaoyue Ling, Yunuo Chen +3

While recent neural codecs achieve strong performance at low bitrates when optimized for perceptual quality, their effectiveness deteriorates significantly under ultra-low bitrate…

cs.SD2025

Error-Resilient Semantic Communication for Speech Transmission over Packet-Loss Networks

Zhuohang Han, Jincheng Dai, Shengshi Yao +5

Real-time speech communication over wireless networks remains challenging, as conventional channel protection mechanisms cannot effectively counter packet loss under stringent band…

cs.CR2025

Secure Digital Semantic Communications: Fundamentals, Challenges, and Opportunities

Weixuan Chen, Qianqian Yang, Yuanyuan Jia +5

Semantic communication (SemCom) has emerged as a promising paradigm for future wireless networks by prioritizing task-relevant meaning over raw data delivery, thereby reducing comm…

eess.IV2024

Rate-Distortion-Perception Controllable Joint Source-Channel Coding for High-Fidelity Generative Communications

Kailin Tan, Jincheng Dai, Zhenyu Liu +5

End-to-end image transmission has recently become a crucial trend in intelligent wireless communications, driven by the increasing demand for high bandwidth efficiency. However, ex…