1 citations · 1 across the 6 of their papers we have counts for
6 papers
Effective User-defined Keyword Spotting with Dual-stage Matching, Multi-modal Enrollment, and Continual Adaptation
Zhiqi Ai, Han Cheng, Shiyi Mu +3
User-defined keyword spotting (KWS) is crucial for personalized voice interaction, yet existing methods face several challenges: (1) insufficient discriminability among confusable…
LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction
Yanliang Jin, Yifan Wu, Yuan Gao +3
The emergence of 6th generation (6G) mobile networks brings new challenges in supporting high-mobility communications, particularly in addressing the issue of channel aging. While…
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Xiaojing Chen, Zhenyuan Li, Wei Ni +5
Federated learning (FL) is a viable technique to train a shared machine learning model without sharing data. Hierarchical FL (HFL) system has yet to be studied regrading its multip…
Quality of Experience Optimization for Real-time XR Video Transmission with Energy Constraints
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended Reality (XR) is an important service in the 5G network and in future 6G networks. In contrast to traditional video on demand services, real-time XR video is transmitted fr…
Quality of Experience Oriented Cross-layer Optimization for Real-time XR Video Transmission
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended reality (XR) is one of the most important applications of beyond 5G and 6G networks. Real-time XR video transmission presents challenges in terms of data rate and delay. I…
On the performance of an integrated communication and localization system: an analytical framework
Yuan Gao, Haonan Hu, Jiliang Zhang +3
Quantifying the performance bound of an integrated localization and communication (ILAC) system and the trade-off between communication and localization performance is critical. In…