1 citations · 1 across the 10 of their papers we have counts for
11 papers
SpaceDiffusion: Over-the-Orbit Diffusion for Space Generate-and-Forward Communications
Jianhao Huang, Zhanwei Wang, Khaled B. Letaief +1
Satellite communications are an essential component of sixth-generation (6G) mobile networks, which provide ubiquitous connectivity for global services. However, the satellite upli…
Unanticipated Adversarial Robustness of Semantic Communication
Runxin Zhang, Yulin Shao, Hongyu An +2
Semantic communication, enabled by deep joint source-channel coding (DeepJSCC), is widely expected to inherit the vulnerability of deep learning to adversarial perturbations. This…
Cache-enabled Generative Joint Source-Channel Coding for Evolving Semantic Communications
Shunpu Tang, Qianqian Yang, Jihong Park +3
Learning-based semantic communication (SemCom) has recently emerged as a promising paradigm for improving the transmission efficiency of wireless networks. However, existing method…
SiftMoE: Similarity-Aware Energy-Efficient Expert Selection for Wireless Distributed MoE Inference
Qian Chen, Xianhao Chen, Kaibin Huang
Mixture-of-Experts (MoE) architectures leverage sparse activation to enhance the scalability of large language models (LLMs), making them suitable for deployment in resource-constr…
Generative Feature Imputing -- A Technique for Error-resilient Semantic Communication
Jianhao Huang, Qunsong Zeng, Hongyang Du +1
Semantic communication (SemCom) has emerged as a promising paradigm for achieving unprecedented communication efficiency in sixth-generation (6G) networks by leveraging artificial…
In-Memory Computing Enabled Deep MIMO Detection to Support Ultra-Low-Latency Communications
Tingyu Ding, Qunsong Zeng, Kaibin Huang
The development of sixth-generation (6G) mobile networks imposes unprecedented latency and reliability demands on multiple-input multiple-output (MIMO) communication systems, a key…
Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding
Jianhao Huang, Qunsong Zeng, Kaibin Huang
Generative semantic communication (Gen-SemCom) with large artificial intelligence (AI) model promises a transformative paradigm for 6G networks, which reduces communication costs b…
Ultra-Low-Latency Edge Intelligent Sensing: A Source-Channel Tradeoff and Its Application to Coding Rate Adaptation
Qunsong Zeng, Jianhao Huang, Zhanwei Wang +2
The forthcoming sixth-generation (6G) mobile network is set to merge edge artificial intelligence (AI) and integrated sensing and communication (ISAC) extensively, giving rise to t…
Hallucination-aware Optimization for Large Language Model-empowered Communications
Yinqiu Liu, Guangyuan Liu, Ruichen Zhang +5
Large Language Models (LLMs) have significantly advanced communications fields, such as Telecom Q\&A, mathematical modeling, and coding. However, LLMs encounter an inherent issue k…
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
Jierui Zhang, Jianhao Huang, Kaibin Huang
Federated learning (FL) has emerged as a widely adopted paradigm for enabling edge learning with distributed data while ensuring data privacy. However, the traditional FL with deep…
D-JSCC: Digital Deep Joint Source-channel Coding for Semantic Communications
Jianhao Huang, Kai Yuan, Chuan Huang +1
Semantic communications (SemCom) have emerged as a new paradigm for supporting sixth-generation applications, where semantic features of data are transmitted using artificial intel…