Lixing Yu

Orcid: 0000-0003-0333-2476

According to our database1, Lixing Yu authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks.
CoRR, 2024

2022
Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties.
IEEE Trans. Wirel. Commun., 2022

Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties.
CoRR, 2022

An Anomaly Detection System for Transparent Objects Using Polarized-Image Fusion Technique.
Proceedings of the IEEE Sensors Applications Symposium, 2022

2021
STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.
IEEE Trans. Mob. Comput., 2021

Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning.
IEEE Internet Things J., 2021

Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

2020
Unsupervised Anomaly Detection in IoT Systems for Smart Cities.
IEEE Trans. Netw. Sci. Eng., 2020

Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach.
IEEE Trans. Emerg. Top. Comput., 2020

Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach.
IEEE Trans. Comput. Soc. Syst., 2020

Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach.
IEEE Trans. Cogn. Commun. Netw., 2020

AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models.
IEEE Internet Things J., 2020

TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map.
IEEE Access, 2020

2019
Learning to Learn Gradient Aggregation by Gradient Descent.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Quantized Adversarial Training: An Iterative Quantized Local Search Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Exploring Spatial-Temporal Patterns From Individual User Cellular Traffic.
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

2018
Cross-Domain Sentiment Classification via a Bifurcated-LSTM.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Online Power Control for 5G Wireless Communications: A Deep Q-Network Approach.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud.
Proceedings of The 10th Asian Conference on Machine Learning, 2018


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