8 citations · 19 across the 11 of their papers we have counts for
13 papers
TeleHairing: A Teleoperation Baseline for Robotic Haircutting
Zhendai Huang, Aleksi Vilkki, Jianan Huang +4
Robotic haircutting requires controlled tool motion near the head while simultaneously accounting for communication, visual feedback, tool actuation, and interruption handling. Exi…
MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning
Shicai Wei, Yang Luo, Chunbo Luo
Multimodal learning has shown great potentials in numerous scenes and attracts increasing interest recently. However, it often encounters the problem of missing modality data and t…
Behavioural Reports of Multi-Stage Malware
Marcus Carpenter, Chunbo Luo
The extensive damage caused by malware requires anti-malware systems to be constantly improved to prevent new threats. The current trend in malware detection is to employ machine l…
Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges
Fuxin Zhang, Chunbo Luo, Jialang Xu +2
Automatic modulation recognition (AMR) detects the modulation scheme of the received signals for further signal processing without needing prior information, and provides the essen…
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes
Baosheng Zhang, Xiaoguang Ma, Hongjun Ma +1
Most feature-based stereo visual odometry (SVO) approaches estimate the motion of mobile robots by matching and tracking point features along a sequence of stereo images. However,…
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Fuxin Zhang, Chunbo Luo, Jialang Xu +1
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (…
The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example
Marcus Carpenter, Chunbo Luo, Xiao-Si Wang
Many research papers that propose models to predict the course of the COVID-19 pandemic either use handcrafted statistical models or large neural networks. Even though large neural…
Fractional order graph neural network
Zijian Liu, Chunbo Luo, Shuai Li +2
This paper proposes fractional order graph neural networks (FGNNs), optimized by the approximation strategy to address the challenges of local optimum of classic and fractional gra…
A Model-driven and Data-driven Fusion Framework for Accurate Air Quality Prediction
Haolin Fei, Xiaofeng Wu, Chunbo Luo
Air quality is closely related to public health. Health issues such as cardiovascular diseases and respiratory diseases, may have connection with long exposure to highly polluted e…
A DoA Estimation Based Robust Beam Forming Method for UAV-BS Communication
Tianxiao Zhao, Chunbo Luo, Geyong Min +4
High data rate communication with Unmanned Aerial Vehicles (UAV) is of growing demand among industrial and commercial applications since the last decade. In this paper, we investig…
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework
He Zhang, Xingrui Yu, Peng Ren +2
Intrusion detection systems (IDSs) play an important role in identifying malicious attacks and threats in networking systems. As fundamental tools of IDSs, learning based classific…
On Channel State Feedback Model and Overhead in Theoretical and Practical Views
Chunbo Luo
Channel state feedback plays an important role to the improvement of link performance in current wireless communication systems, and even more in the next generation. The feedback…
Hybrid Demodulate-Forward Relay Protocol for Two-Way Relay Channels
Chunbo Luo, Cathryn Peoples, Gerard Parr +2
Two-Way Relay Channel (TWRC) plays an important role in relay networks, and efficient relaying protocols are particularly important for this model. {\color{black} However, existing…