5 citations · 9 across the 14 of their papers we have counts for
5 papers · 1 filter
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition
Mengya Han, Yibing Zhan, Yong Luo +4
Few-shot visual recognition refers to recognize novel visual concepts from a few labeled instances. Many few-shot visual recognition methods adopt the metric-based meta-learning pa…
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
Zhiwei Hao, Guanyu Xu, Yong Luo +3
Recently, deploying deep neural network (DNN) models via collaborative inference, which splits a pre-trained model into two parts and executes them on user equipment (UE) and edge…
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing
Zhiwei Hao, Yong Luo, Zhi Wang +2
Recently, the compression and deployment of powerful deep neural networks (DNNs) on resource-limited edge devices to provide intelligent services have become attractive tasks. Alth…
Intelligent Resource Allocations for IRS-Assisted OFDM Communications: A Hybrid MDQN-DDPG Approach
Wei Wu, Fengchun Yang, Fuhui Zhou +3
In this paper, we study the resource allocation problem for an intelligent reflecting surface (IRS)-assisted OFDM system. The system sum rate maximization framework is formulated b…
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network
Han Hu, Weiwei Song, Qun Wang +2
Mobile Edge Computing (MEC) has recently emerged as a promising technology in the 5G era. It is deemed an effective paradigm to support computation-intensive and delay critical app…