activity
20192023
most citedRain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process

154 citations · 373 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023

Fast and Automatic 3D Modeling of Antenna Structure Using CNN-LSTM Network for Efficient Data Generation

Zhaohui Wei, Zhao Zhou, Peng Wang +4

Deep learning-assisted antenna design methods such as surrogate models have gained significant popularity in recent years due to their potential to greatly increase design efficien…

cs.CV2022★ 154 cited

Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process

Tao Yan, Mingyue Li, Bin Li +2

Existing deraining methods focus mainly on a single input image. However, with just a single input image, it is extremely difficult to accurately detect and remove rain streaks, in…

eess.SP2021★ 85 cited

Machine Learning-Based 3D Channel Modeling for U2V mmWave Communications

Kai Mao, Qiuming Zhu, Maozhong Song +4

Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide flexible link and high data rate for future communication networks. By considering the new features…

eess.SP2020★ 16 cited

Dynamic mmWave Channel Emulation in a Cost-Effective MPAC with Dominant-Cluster Concept

Xuesong Cai, Yang Miao, Jinxing Li +3

Millimeter-Wave (mmWave) massive multiple-input multiple-output (MIMO) has been considered as a key enabler for the fifth-generation (5G) communications. It is essential to design…

eess.SP2019★ 118 cited

An Empirical Air-to-Ground Channel Model Based on Passive Measurements in LTE

Xuesong Cai, José Rodríguez-Piñeiro, Xuefeng Yin +3

In this paper, a recently conducted measurement campaign for unmanned-aerial-vehicle (UAV) channels is introduced. The downlink signals of an in-service long-time-evolution (LTE) n…