activity
20112022
most citedFundamental Tradeoffs on Green Wireless Networks

122 citations · 308 across the 37 of their papers we have counts for

collaborators

49 papers

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.CV202127 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.CV20214 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…