activity
20112024
most citedFundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks

350 citations · 868 across the 59 of their papers we have counts for

collaborators

59 papers

cs.NI2024★ 2 cited

Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling

Guangjin Pan, Shugong Xu, Shunqing Zhang +2

Extended reality (XR) is one of the most important applications of 5G. For real-time XR video transmission in 5G networks, a low latency and high data rate are required. In this pa…

cs.NI2023★ 3 cited

Joint Optimization of Video-based AI Inference Tasks in MEC-assisted Augmented Reality Systems

Guangjin Pan, Heng Zhang, Shugong Xu +2

The high computational complexity and energy consumption of artificial intelligence (AI) algorithms hinder their application in augmented reality (AR) systems. However, mobile edge…

eess.SY2022

High-Performance Transmission Mechanism Design of Multi-Stream Carrier Aggregation for 5G Non-Standalone Network

Jun Yu, Shunqing Zhang, Jiayun Sun +2

Multi-stream carrier aggregation is a key technology to expand bandwidth and improve the throughput of the fifth-generation wireless communication systems. However, due to the dive…

eess.SY2022★ 1 cited

Prediction-based Hybrid Slicing Framework for Service Level Agreement Guarantee in Mobility Scenarios: A Deep Learning Approach

Heng Zhang, Guangjin Pan, Shugong Xu +2

Network slicing is a critical driver for guaranteeing the diverse service level agreements (SLA) in 5G and future networks. Inter-slice radio resource allocation (IS-RRA) in the ra…

eess.SY2022

Joint Optimization of DNN Inference Delay and Energy under Accuracy Constraints for AR Applications

Guangjin Pan, Heng Zhang, Shugong Xu +2

The high computational complexity and high energy consumption of artificial intelligence (AI) algorithms hinder their application in augmented reality (AR) systems. This paper cons…

cs.NI2022

A Hard and Soft Hybrid Slicing Framework for Service Level Agreement Guarantee via Deep Reinforcement Learning

Heng Zhang, Guangjin Pan, Shugong Xu +2

Network slicing is a critical driver for guaranteeing the diverse service level agreements (SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been wid…

cs.CV2021★ 10 cited

TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance

Yue Tao, Zhiwei Jia, Runze Ma +1

Scene text recognition (STR) is an important bridge between images and text, attracting abundant research attention. While convolutional neural networks (CNNS) have achieved remark…

cs.CV2021★ 27 cited

Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition

Dinghao Fan, Hengjie Lu, Shugong Xu +1

Gesture recognition is getting more and more popular due to various application possibilities in human-machine interaction. Existing multi-modal gesture recognition systems take mu…

cs.CV2021★ 4 cited

Deep Image Matting with Flexible Guidance Input

Hang Cheng, Shugong Xu, Xiufeng Jiang +1

Image matting is an important computer vision problem. Many existing matting methods require a hand-made trimap to provide auxiliary information, which is very expensive and limits…

cs.CV2021

HENet: Forcing a Network to Think More for Font Recognition

Jingchao Chen, Shiyi Mu, Shugong Xu +1

Although lots of progress were made in Text Recognition/OCR in recent years, the task of font recognition is remaining challenging. The main challenge lies in the subtle difference…

eess.SP2021

High Precision Indoor Localization with Dummy Antennas -- An Experimental Study

Kaixuan Huang, Chenlu Xiang, Shunqing Zhang +4

With the rising demand for indoor localization, high precision technique-based fingerprints became increasingly important nowadays. The newest advanced localization system makes ef…

cs.CV2021

IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition

Zhiwei Jia, Shugong Xu, Shiyi Mu +3

Although recent works based on deep learning have made progress in improving recognition accuracy on scene text recognition, how to handle low-quality text images in end-to-end dee…

cs.SD2021★ 5 cited

RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform

Youxuan Ma, Zongze Ren, Shugong Xu

In recent years, synthetic speech generated by advanced text-to-speech (TTS) and voice conversion (VC) systems has caused great harms to automatic speaker verification (ASV) system…

cs.CV2021★ 19 cited

SGTBN: Generating Dense Depth Maps from Single-Line LiDAR

Hengjie Lu, Shugong Xu, Shan Cao

Depth completion aims to generate a dense depth map from the sparse depth map and aligned RGB image. However, current depth completion methods use extremely expensive 64-line LiDAR…

eess.SP2021

A Novel GCN based Indoor Localization System with Multiple Access Points

Yanzan Sun, Qinggang Xie, Guangjin Pan +2

With the rapid development of indoor location-based services (LBSs), the demand for accurate localization keeps growing as well. To meet this demand, we propose an indoor localizat…

cs.CV2021★ 15 cited

Arbitrary-Shaped Text Detection withAdaptive Text Region Representation

Xiufeng Jiang, Shugong Xu, Shunqing Zhang +1

Text detection/localization, as an important task in computer vision, has witnessed substantialadvancements in methodology and performance with convolutional neural networks. Howev…

cs.CV2021★ 3 cited

Tracking Based Semi-Automatic Annotation for Scene Text Videos

Jiajun Zhu, Xiufeng Jiang, Zhiwei Jia +2

Recently, video scene text detection has received increasing attention due to its comprehensive applications. However, the lack of annotated scene text video datasets has become on…

cs.CV2021★ 18 cited

A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios

Xudong Chen, Shugong Xu, Qiaobin Ji +1

Face Anti-spoofing (FAS) is a challenging problem due to complex serving scenarios and diverse face presentation attack patterns. Especially when captured images are low-resolution…

eess.SP2021

Self-Calibrating Indoor Localization with Crowdsourcing Fingerprints and Transfer Learning

Chenlu Xiang, Shunqing Zhang, Shugong Xu +1

Precise indoor localization is one of the key requirements for fifth Generation (5G) and beyond, concerning various wireless communication systems, whose applications span differen…

cs.IT2021★ 1 cited

Predictive Wireless Based Status Update for Communication-Agnostic Sampling

Zhiyuan Jiang, Wei Zhang, Zixu Cao +3

In a wireless network that conveys status updates from sources (i.e., sensors) to destinations, one of the key issues studied by existing literature is how to design an optimal sou…

cs.CV2020

SIRI: Spatial Relation Induced Network For Spatial Description Resolution

Peiyao Wang, Weixin Luo, Yanyu Xu +4

Spatial Description Resolution, as a language-guided localization task, is proposed for target location in a panoramic street view, given corresponding language descriptions. Expli…

eess.SP2020★ 5 cited

Energy-Efficient NOMA Multicasting System for 5G Cellular V2X Communications with Imperfect CSI

Asim Ihsan, Wen Chen, Shunqing Zhang +1

Vehicle-to-everything (V2X) is a modern vehicular technology that improves conventional vehicle systems in traffic and communications. V2X communications demand energyefficient and…

cs.CV2020

Finding Action Tubes with a Sparse-to-Dense Framework

Yuxi Li, Weiyao Lin, Tao Wang +5

The task of spatial-temporal action detection has attracted increasing attention among researchers. Existing dominant methods solve this problem by relying on short-term informatio…

eess.SP2020★ 2 cited

Joint Visual and Wireless Signal Feature based Approach for High-Precision Indoor Localization

Yu Wang, Guangbing Zhou, Chenlu Xiang +2

The existing localization systems for indoor applications basically rely on wireless signal. With the massive deployment of low-cost cameras, the visual image based localization be…