Jinlong Ji

Orcid: 0000-0001-8348-4394

According to our database1, Jinlong Ji authored at least 12 papers between 2016 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Parallel Secure Outsourcing of Large-Scale Nonlinearly Constrained Nonlinear Programming Problems.
IEEE Trans. Big Data, 2022

2020
Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2020

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

Differentially Private Community Detection in Attributed Social Networks.
Proceedings of The 11th Asian Conference on Machine Learning, 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

When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving and Secure Design.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A deep multi-task learning approach for ECG data analysis.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

Cost-Sensitive Deep Active Learning for Epileptic Seizure Detection.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

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

2017
Real-time personalized cardiac arrhythmia detection and diagnosis: A cloud computing architecture.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
A Tutorial on Secure Outsourcing of Large-scale Computations for Big Data.
IEEE Access, 2016


  Loading...