48 citations · 51 across the 12 of their papers we have counts for
12 papers
FUN: A Focal U-Net Combining Reconstruction and Object Detection for Snapshot Spectral Imaging
Dahua Gao, Yubo Dong, Anqi Li +4
Conventional push-broom hyperspectral imaging suffers from slow acquisition speeds, precluding real-time object detection; in contrast, snapshot spectral imaging enables instantane…
Optimally Bridging Semantics and Data: Generative Semantic Communication via Schrödinger Bridge
Dahua Gao, Ruichao Liu, Minxi Yang +3
Generative Semantic Communication (GSC) is a promising solution for image transmission over narrow-band and high-noise channels. However, existing GSC methods rely on long, indirec…
NOC4SC: A Bandwidth-Efficient Multi-User Semantic Communication Framework for Interference-Resilient Transmission
Yunhao Wang, Shuai Ma, Pengfei He +3
With the explosive growth of connected devices and emerging applications, current wireless networks are encountering unprecedented demands for massive user access, where the inter-…
PACE: A Pragmatic Agent for Enhancing Communication Efficiency Using Large Language Models
Jiaxuan Li, Minxi Yang, Dahua Gao +2
Current communication technologies face limitations in terms of theoretical capacity, spectrum availability, and power resources. Pragmatic communication, leveraging terminal intel…
Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging
Yubo Dong, Dahua Gao, Yuyan Li +2
In the Coded Aperture Snapshot Spectral Imaging (CASSI) system, deep unfolding networks (DUNs) have demonstrated excellent performance in recovering 3D hyperspectral images (HSIs)…
AMGC: Adaptive match-based genomic compression algorithm
Jia Wang, Yi Niu, Tianyi Xu +3
Motivation: Despite significant advances in Third-Generation Sequencing (TGS) technologies, Next-Generation Sequencing (NGS) technologies remain dominant in the current sequencing…
Mathematical Characterization of Signal Semantics and Rethinking of the Mathematical Theory of Information
Guangming Shi, Dahua Gao, Shuai Ma +3
Shannon information theory is established based on probability and bits, and the communication technology based on this theory realizes the information age. The original goal of Sh…
Features Disentangled Semantic Broadcast Communication Networks
Shuai Ma, Weining Qiao, Youlong Wu +6
Single-user semantic communications have attracted extensive research recently, but multi-user semantic broadcast communication (BC) is still in its infancy. In this paper, we prop…
Task-oriented Explainable Semantic Communications
Shuai Ma, Weining Qiao, Youlong Wu +6
Semantic communications utilize the transceiver computing resources to alleviate scarce transmission resources, such as bandwidth and energy. Although the conventional deep learnin…
Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging
Yubo Dong, Dahua Gao, Tian Qiu +3
To acquire a snapshot spectral image, coded aperture snapshot spectral imaging (CASSI) is proposed. A core problem of the CASSI system is to recover the reliable and fine underlyin…
A new communication paradigm: from bit accuracy to semantic fidelity
Guangming Shi, Dahua Gao, Xiaodan Song +5
Wireless communication has achieved great success in the past several decades. The challenge is of improving bandwidth with limited spectrum and power consumption, which however ha…
Knowledge-guided Semantic Computing Network
Guangming Shi, Zhongqiang Zhang, Dahua Gao +4
It is very useful to integrate human knowledge and experience into traditional neural networks for faster learning speed, fewer training samples and better interpretability. Howeve…