activity
20162022
most citedFast Color-guided Depth Denoising for RGB-D Images by Graph Filtering

7 citations · 22 across the 21 of their papers we have counts for

collaborators

21 papers

eess.SP2022

Sampling of Correlated Bandlimited Continuous Signals by Joint Time-vertex Graph Fourier Transform

Zhongyi Ni, Feng Ji, Hang Sheng +2

When sampling multiple signals, the correlation between the signals can be exploited to reduce the overall number of samples. In this paper, we study the sampling theory of multipl…

eess.SP2021

Recovery of Graph Signals from Sign Measurements

Wenwei Liu, Hui Feng, Kaixuan Wang +2

Sampling and interpolation have been extensively studied, in order to reconstruct or estimate the entire graph signal from the signal values on a subset of vertexes, of which most…

cs.LG2021

Regularized Recovery by Multi-order Partial Hypergraph Total Variation

Ruyuan Qu, Jiaqi He, Hui Feng +2

Capturing complex high-order interactions among data is an important task in many scenarios. A common way to model high-order interactions is to use hypergraphs whose topology can…

cs.IT2021

Performance Analysis for Correlated AoI and Energy Efficiency in Heterogeneous CR-IoT System

Xiaoyu Hao, Tao Yang, Yulin Hu +1

We consider a cognitive radio based Internet of Things (CR-IoT) system where the secondary IoT device (SD) accesses the licensed channel during the transmission vacancies of the pr…

cs.IT2020

Two-Timescale Resource Allocation for Cooperative D2D Communication: A Matching Game Approach

Yiling Yuan, Tao Yang, Yulin Hu +2

In this paper, we consider a cooperative device-todevice (D2D) communication system, where the D2D transmitters (DTs) act as relays to assist the densified cellular network users (…

eess.SP2020

Sampling Policy Design for Tracking Time-Varying Graph Signals with Adaptive Budget Allocation

Xuan Xie, Hui Feng, Bo Hu

There have been many works that focus on the sampling set design for a static graph signal, but few for time-varying graph signals (GS). In this paper, we concentrate on how to sel…

eess.IV2019★ 7 cited

Fast Color-guided Depth Denoising for RGB-D Images by Graph Filtering

Qiwei Huang, Ruikang Li, Zidong Jiang +4

Depth images captured by off-the-shelf RGB-D cameras suffer from much stronger noise than color images. In this paper, we propose a method to denoise the depth images in RGB-D imag…

eess.SP2019★ 1 cited

Bayesian Design of Sampling Set for Bandlimited Graph Signals

Xuan Xie, Junhao Yu, Hui Feng +1

The design of sampling set (DoS) for bandlimited graph signals (GS) has been extensively studied in recent years, but few of them exploit the benefits of the stochastic prior of GS…

eess.SP2019★ 1 cited

On Critical Sampling of Time-Vertex Graph Signals

Junhao Yu, Xuan Xie, Hui Feng +1

Joint time-vertex graph signals are pervasive in real-world. This paper focuses on the fundamental problem of sampling and reconstruction of joint time-vertex graph signals. We pro…

cs.CV2019★ 7 cited

Locality-constrained Spatial Transformer Network for Video Crowd Counting

Yanyan Fang, Biyun Zhan, Wandi Cai +2

Compared with single image based crowd counting, video provides the spatial-temporal information of the crowd that would help improve the robustness of crowd counting. But translat…

cs.IT2019

Learning for Matching Game in Cooperative D2D Communication with Incomplete Information

Yiling Yuan, Tao Yang, Hui Feng +1

This paper considers a cooperative device-to-device (D2D) communication system, where the D2D transmitters (DTs) act as relays to assist cellular users (CUs) in exchange for the op…

eess.SP2019★ 1 cited

Active Sampling for Approximately Bandlimited Graph Signals

Sijie Lin, Xuan Xie, Hui Feng +1

This paper investigates the active sampling for estimation of approximately bandlimited graph signals. With the assistance of a graph filter, an approximately bandlimited graph sig…

cs.IT2018

Cooperative Spectrum Sharing Between D2D Users and Edge-Users: A Matching Theory Perspective

Yiling Yuan, Tao Yang, Yuedong Xu +1

The device-to-device (D2D) communication theoretically provides both the cellular traffic offloading and convenient content delivery directly among proximity users. However, in pra…

eess.SP2018

Robust Beamforming for Downlink 3D-MIMO Systems with -norm Bounded CSI Uncertainty

Kai Liu, Hui Feng, Tao Yang +1

In this paper, a novel robust beamforming scheme is proposed in three dimensional multi-input multi-output (3D-MIMO) systems. As one of the typical deployments of massive MIMO, a 3…

cs.IT2018

A Cascaded Channel-Power Allocation for D2D Underlaid Cellular Networks Using Matching Theory

Yiling Yuan, Tao Yang, Yuedong Xu +2

We consider a device-to-device (D2D) underlaid cellular network, where each cellular channel can be shared by several D2D pairs and only one channel can be allocated to each D2D pa…

cs.IT2018

Matching Based Two-Timescale Resource Allocation for Cooperative D2D Communication

Yiling Yuan, Tao Yang, Yulin Hu +2

We consider a cooperative device-to-device (D2D) communication system, where the D2D transmitters (DTs) act as relays to assist cellular users (CUs) in exchange for the opportuniti…

eess.SP2018

Active Anomaly Detection with Switching Cost

Fengfan Qin, Da Chen, Hui Feng +3

The problem of detecting a single anomalous process among multiple independent processes is considered. Under a constraint on the number of processes that can be probed simultaneou…

eess.SP2017★ 1 cited

Design of Sampling Set for Bandlimited Graph Signal Estimation

Xuan Xie, Hui Feng, Junlian Jia +1

It is of particular interest to reconstruct or estimate bandlimited graph signals, which are smoothly varying signals defined over graphs, from partial noisy measurements. However,…

cs.IT2017

Traffic-Aware Transmission Mode Selection in D2D-enabled Cellular Networks with Token System

Yiling Yuan, Tao Yang, Hui Feng +4

We consider a D2D-enabled cellular network where user equipments (UEs) owned by rational users are incentivized to form D2D pairs using tokens. They exchange tokens electronically…

cs.NI2016★ 1 cited

QoE-Aware Proactive Caching of Scalable Videos Over Small Cell Networks

Tong Zhen, Yuedong Xu, Tao Yang +1

The explosion of mobile video traffic imposes tremendous challenges on present cellular networks. To alleviate the pressure on backhaul links and to enhance the quality of experien…

cs.NI2016★ 3 cited

Modeling QoE of Video Streaming in Wireless Networks with Large-Scale Measurement of User Behavior

Yuedong Xu, Zhujun Xiao, Hui Feng +3

Unraveling quality of experience (QoE) of video streaming is very challenging in bandwidth shared wireless networks. It is unclear how QoE metrics such as starvation probability an…