Faculty of Science and Technology of the University of Macau hosted a distinguished seminar titled “Latent Diffusion Model-Enabled Low-Latency Semantic Communication,” presented by Prof. Ping Wang, Professor and IEEE Fellow from York University, Canada. The talk drew a diverse audience of numerous students from various departments, reflecting the growing interest in advanced communication technologies.
Prof. Wang shared her cutting-edge research on enhancing the robustness and adaptability of deep learning-based semantic communication systems. She addressed challenges like wireless channel uncertainties and poor generalization, proposing a novel framework using latent diffusion models. Key innovations include an outlier-robust encoder, a single-layer latent adapter for one-shot learning, and an end-to-end consistency distillation method for denoising. The interactive Q&A session further enriched the learning experience.
澳門大學科技學院邀請了來自加拿大約克大學的Ping Wang教授（IEEE Fellow）舉辦了題為《Latent Diffusion Model-Enabled Low-Latency Semantic Communication》的傑出講座，此次講座吸引了來自各學系的學生，反映出大家對於先進通訊技術日益增長的興趣。
Ping Wang教授分享了她在提升深度學習語意通訊系統穩健性與適應性方面的前沿研究。她探討了無線通道不確定性及泛化能力差等挑戰，並提出了一個基於潛在擴散模型的新框架。此方案的關鍵創新包括抗異常值編碼器、用於單次學習的單層潛在適配器，以及用於去雜訊的端對端一致性蒸餾方法。互動問答環節進一步豐富了參加者的知識及對此領域的認知。
