8 citations · 10 across the 4 of their papers we have counts for
6 papers
An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedback
Xinran Sun, Zhengming Zhang, Luxi Yang
The efficacy of massive multiple-input multiple-output (MIMO) techniques heavily relies on the accuracy of channel state information (CSI) in frequency division duplexing (FDD) sys…
Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing
Zhengming Zhang, Yongming Huang, Cheng Zhang +3
Network slicing-based communication systems can dynamically and efficiently allocate resources for diversified services. However, due to the limitation of the network interface on…
AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection
Kunyang Sun, Wei Lin, Haoqin Shi +3
Unsupervised domain adaptive object detection is a challenging vision task where object detectors are adapted from a label-rich source domain to an unlabeled target domain. Recent…
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning
Xiangyu Zhang, Zhengming Zhang, Luxi Yang
Heterogeneous Ultra-Dense Network (HUDN) is one of the vital networking architectures due to its ability to enable higher connectivity density and ultra-high data rates. Rational u…
Placement Delivery Array Design via Attention-Based Deep Neural Network
Zhengming Zhang, Meng Hua, Chunguo Li +2
A decentralized coded caching scheme has been proposed by Maddah-Ali and Niesen, and has been shown to alleviate the load of networks. Recently, placement delivery array (PDA) was…
Cache-Enabled Dynamic Rate Allocation via Deep Self-Transfer Reinforcement Learning
Zhengming Zhang, Yaru Zheng, Meng Hua +2
Caching and rate allocation are two promising approaches to support video streaming over wireless network. However, existing rate allocation designs do not fully exploit the advant…