activity
20152023
most citedDeep-Learning-based Millimeter-Wave Massive MIMO for Hybrid Precoding

449 citations · 716 across the 28 of their papers we have counts for

collaborators
Showing 2017Show all

7 papers · 1 filter

cs.CV20171 cited

Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning

Yang Hu, Yun Gu, Jie Yang +1

In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms. One such task is aut…

cs.GR201717 cited

Sparse Data Driven Mesh Deformation

Lin Gao, Yu-Kun Lai, Jie Yang +3

Example-based mesh deformation methods are powerful tools for realistic shape editing. However, existing techniques typically combine all the example deformation modes, which can l…

cs.GR20174 cited

Mesh-based Autoencoders for Localized Deformation Component Analysis

Qingyang Tan, Lin Gao, Yu-Kun Lai +2

Spatially localized deformation components are very useful for shape analysis and synthesis in 3D geometry processing. Several methods have recently been developed, with an aim to…

cs.IT20175 cited

Beamspace Channel Estimation in mmWave Systems via Cosparse Image Reconstruction Technique

Jie Yang, Chao-Kai Wen, Shi Jin +1

This paper considers the beamspace channel estimation problem in 3D lens antenna array under a millimeter-wave communication system. We analyze the focusing capability of the 3D le…

cs.CV20179 cited

Robust Guided Image Filtering

Wei Liu, Xiaogang Chen, Chunhua Shen +3

The process of using one image to guide the filtering process of another one is called Guided Image Filtering (GIF). The main challenge of GIF is the structure inconsistency betwee…

stat.ML2017

Semi-supervised Learning for Discrete Choice Models

Jie Yang, Sergey Shebalov, Diego Klabjan

We introduce a semi-supervised discrete choice model to calibrate discrete choice models when relatively few requests have both choice sets and stated preferences but the majority…