activity
20192022
most citedDynamic Curriculum Learning for Imbalanced Data Classification

33 citations · 48 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2022

Reconfigurable Intelligent Surfaces for Energy Efficiency in Full-duplex Communication System

Yiru Wang, Pengxin Guan, Hongkang Yu +1

In this letter, we study the reconfigurable intelligent surfaces (RIS) aided full-duplex (FD) communication system. By jointly designing the active beamforming of two multi-antenna…

eess.SP2022★ 4 cited

Energy Efficiency Maximization of Simultaneous Transmission and Reflection RIS Assisted Full-Duplex Communications

Pengxin Guan, Yiru Wang, Hongkang Yu +1

This work studies the effectiveness of a novel simultaneous transmission and reflection reconfigurable intelligent surface (STAR-RIS) aided Full-Duplex (FD) communication system. W…

eess.SP2022

Simultaneous Transmission and Reflection Reconfigurable Intelligent Surface Assisted Full-Duplex Communications

Yiru Wang, Pengxin Guan, Hongkang Yu +1

This work demonstrates the effectiveness of a novel simultaneous transmission and reflection reconfigurable intelligent surface (STAR-RIS) in Full-Duplex (FD) aided communication s…

eess.SP2021

Performance Analysis and Codebook Design for mmWave Beamforming System with Beam Squint

Hongkang Yu, Pengxin Guan, Yiru Wang +1

Beamforming technology is widely used in millimeter wave systems to combat path losses, and beamformers are usually selected from a predefined codebook. Unfortunately, the traditio…

cs.CV2019★ 11 cited

Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition

Xuechen Li, Yinlong Liu, Yiru Wang +3

The rigid registration of two 3D point sets is a fundamental problem in computer vision. The current trend is to solve this problem globally using the BnB optimization framework. H…

cs.CV2019★ 33 cited

Dynamic Curriculum Learning for Imbalanced Data Classification

Yiru Wang, Weihao Gan, Jie Yang +2

Human attribute analysis is a challenging task in the field of computer vision, since the data is largely imbalance-distributed. Common techniques such as re-sampling and cost-sens…