33 citations · 39 across the 14 of their papers we have counts for
5 papers · 1 filter
Resource Allocation for Near-Field Communications: Fundamentals, Tools, and Outlooks
Bokai Xu, Jiayi Zhang, Hongyang Du +5
Extremely large-scale multiple-input-multiple output (XL-MIMO) is a promising technology to achieve high spectral efficiency (SE) and energy efficiency (EE) in future wireless syst…
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ning Ding, Yulin Chen, Bokai Xu +6
Fine-tuning on instruction data has been widely validated as an effective practice for implementing chat language models like ChatGPT. Scaling the diversity and quality of such dat…
Jac-PCG Based Low-Complexity Precoding for Extremely Large-Scale MIMO Systems
Bokai Xu, Jiayi Zhang, Jiaxun Li +2
Extremely large-scale multiple-input-multipleoutput (XL-MIMO) has been reviewed as a promising technology for future sixth-generation (6G) networks to achieve higher performance. I…
Tool Learning with Foundation Models
Yujia Qin, Shengding Hu, Yankai Lin +38
Humans possess an extraordinary ability to create and utilize tools, allowing them to overcome physical limitations and explore new frontiers. With the advent of foundation models,…
Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels
Bokai Xu, Zhe Wang, Huahua Xiao +3
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technology for the future sixth-generation (6G) networks to achieve higher performance. In practice, v…