1 citations · 1 across the 6 of their papers we have counts for
6 papers
TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding
Achintha Wijesinghe, Weiwei Wang, Suchinthaka Wanninayaka +2
Recent advancements in generative artificial intelligence have introduced groundbreaking approaches to innovating next-generation semantic communication, which prioritizes conveyin…
Task-Adaptive Semantic Communications with Controllable Diffusion-based Data Regeneration
Fupei Guo, Achintha Wijesinghe, Songyang Zhang +1
Semantic communications represent a new paradigm of next-generation networking that shifts bit-wise data delivery to conveying the semantic meanings for bandwidth efficiency. To ef…
AGI-Driven Generative Semantic Communications: Principles and Practices
Xiaojun Yuan, Haoming Ma, Yinuo Huang +3
Semantic communications leverage artificial intelligence (AI) technologies to extract semantic information for efficient data delivery, thereby significantly reducing communication…
Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications
Yu-Chieh Chao, Yubei Chen, Weiwei Wang +4
Semantic communication marks a new paradigm shift from bit-wise data transmission to semantic information delivery for the purpose of bandwidth reduction. To more effectively carry…
LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency
Achintha Wijesinghe, Suchinthaka Wanninayaka, Weiwei Wang +3
The recent rise of semantic-style communications includes the development of goal-oriented communications (GOCOMs) remarkably efficient multimedia information transmissions. The co…
Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency
Achintha Wijesinghe, Songyang Zhang, Suchinthaka Wanninayaka +2
The latest advances in artificial intelligence (AI) present many unprecedented opportunities to achieve much improved bandwidth saving in communications. Unlike conventional commun…