40 citations · 105 across the 35 of their papers we have counts for
7 papers · 1 filter
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu, Guoshun Nan, Tianyu Xiong +6
Graph convolution networks (GCNs) are extensively utilized in various graph tasks to mine knowledge from spatial data. Our study marks the pioneering attempt to quantitatively inve…
DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding
Hang Du, Guoshun Nan, Sicheng Zhang +6
Multimodal Sarcasm Understanding (MSU) has a wide range of applications in the news field such as public opinion analysis and forgery detection. However, existing MSU benchmarks an…
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks
Zhenzhen Gong, Omar Hashash, Yingze Wang +4
In this paper, a novel joint energy and age of information (AoI) optimization framework for IoT devices in a non-stationary environment is presented. In particular, IoT devices tha…
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems
Xinghan Liu, Guoshun Nan, Qimei Cui +6
Recently proliferated semantic communications (SC) aim at effectively transmitting the semantics conveyed by the source and accurately interpreting the meaning at the destination.…
Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications
Guoshun Nan, Zhichun Li, Jinli Zhai +7
End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential fo…
Securing Semantic Communications with Physical-layer Semantic Encryption and Obfuscation
Qi Qin, Yankai Rong, Guoshun Nan +4
Deep learning based semantic communication(DLSC) systems have shown great potential of making wireless networks significantly more efficient by only transmitting the semantics of t…
Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications
Zeju Li, Xinghan Liu, Guoshun Nan +4
End-to-end semantic communication (ESC) system is able to improve communication efficiency by only transmitting the semantics of the input rather than raw bits. Although promising,…