47 citations · 166 across the 23 of their papers we have counts for
23 papers
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…
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…
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…
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…
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…
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…
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…
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…
Learning Frame Level Attention for Environmental Sound Classification
Zhichao Zhang, Shugong Xu, Shunqing Zhang +2
Environmental sound classification (ESC) is a challenging problem due to the complexity of sounds. The classification performance is heavily dependent on the effectiveness of repre…
Revealing Much While Saying Less: Predictive Wireless for Status Update
Zhiyuan Jiang, Zixu Cao, Siyu Fu +4
Wireless communications for status update are becoming increasingly important, especially for machine-type control applications. Existing work has been mainly focused on Age of Inf…
Robust Sub-Meter Level Indoor Localization With a Single WiFi Access Point-Regression Versus Classification
Chenlu Xiang, Shunqing Zhang, Shugong Xu +3
Precise indoor localization is an increasingly demanding requirement for various emerging applications, like Virtual/Augmented reality and personalized advertising. Current indoor…
Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion
Tianhao Qiao, Shunqing Zhang, Zhichao Zhang +2
Environmental Sound Classification (ESC) is an important and challenging problem, and feature representation is a critical and even decisive factor in ESC. Feature representation a…
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification
Zhichao Zhang, Shugong Xu, Tianhao Qiao +2
Environmental sound classification (ESC) is a challenging problem due to the complexity of sounds. The ESC performance is heavily dependent on the effectiveness of representative f…
Fingerprint-based Localization using Commercial LTE Signals: A Field-Trial Study
Heng Zhang, Zhichao Zhang, Shunqing Zhang +2
Wireless localization for mobile device has attracted more and more interests by increasing the demand for location based services. Fingerprint-based localization is promising, esp…
Passive TCP Identification for Wired and WirelessNetworks: A Long-Short Term Memory Approach
Xiaoyu Chen, Shugong Xu, Xudong Chen +3
Transmission control protocol (TCP) congestion control is one of the key techniques to improve network performance. TCP congestion control algorithm identification (TCP identificat…
Efficient MIMO Detection with Imperfect Channel Knowledge - A Deep Learning Approach
Qian Chen, Shunqing Zhang, Shugong Xu +1
Multiple-input multiple-output (MIMO) system is the key technology for long term evolution (LTE) and 5G. The information detection problem at the receiver side is in general diffic…
Channel Estimation for WiFi Prototype Systems with Super-Resolution Image Recovery
Qi Shi, Yangyu Liu, Shunqing Zhang +3
Channel estimation is crucial for modern WiFi system and becomes more and more challenging with the growth of user throughput in multiple input multiple output configuration. Plent…
Energy-Efficient Subchannel and Power Allocation for HetNets Based on Convolutional Neural Network
Di Xu, Xiaojing Che, Changhao Wu +3
Heterogeneous network (HetNet) has been proposed as a promising solution for handling the wireless traffic explosion in future fifth-generation (5G) system. In this paper, a joint…
Robust Sub-meter Level Indoor Localization - A Logistic Regression Approach
Chenlu Xiang, Zhichao Zhang, Shunqing Zhang +3
Indoor localization becomes a raising demand in our daily lives. Due to the massive deployment in the indoor environment nowadays, WiFi systems have been applied to high accurate l…
Dynamic Carrier and Power Amplifier Mapping for Energy Efficient Multi-Carrier Wireless Communications
Shunqing Zhang, Chenlu Xiang, Shan Cao +2
The rapid increasing demand of wireless transmission has incurred mobile broadband to continuously evolve through multiple frequency bands, massive antennas and other multi-stream…
A Prototype Performance Analysis for V2V Communications using USRP-based Software Defined Radio Platform
Fei Peng, Shunqing Zhang, Shan Cao +1
Autonomous driving is usually recognized as a promising technology to replace human drivers in the near future. To guarantee the safety performance in the daily life scenario, mult…
Performance Evaluation for LTE-V based Vehicle-to-Vehicle Platooning Communication
Tao Yu, Shunqing Zhang, Shan Cao +1
With the raising demand for autonomous driving, vehicle-to-vehicle communications becomes a key technology enabler for the future intelligent transportation system. Based on our cu…
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
Zhichao Zhang, Shugong Xu, Shan Cao +1
Environmental sound classification (ESC) is an important and challenging problem. In contrast to speech, sound events have noise-like nature and may be produced by a wide variety o…