Yifeng Gao

Orcid: 0000-0002-0629-050X

According to our database1, Yifeng Gao authored at least 24 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition.
CoRR, 2024

2023
Survival prediction of heart failure patients using motion-based analysis method.
Comput. Methods Programs Biomed., June, 2023

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Federated Learning With Erroneous Communication Links.
IEEE Commun. Lett., 2022

Robust Time Series Chain Discovery with Incremental Nearest Neighbors.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach.
Cryptogr., 2021

MMAP: a cloud computing platform for mining the maximum accuracy of predicting phenotypes from genotypes.
Bioinform., 2021

Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity.
Proceedings of the Silicon Valley Cybersecurity Conference - Second Conference, 2021

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events.
Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 2021

2020
Semantic Discord: Finding Unusual Local Patterns for Time Series.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Ensemble Grammar Induction For Detecting Anomalies in Time Series.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient Terrain Matching With 3-D Zernike Moments.
IEEE Trans. Aerosp. Electron. Syst., 2019

HIME: discovering variable-length motifs in large-scale time series.
Knowl. Inf. Syst., 2019

Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Exploring variable-length time series motifs in one hundred million length scale.
Data Min. Knowl. Discov., 2018

Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series.
CoRR, 2018

2017
TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient discovery of time series motifs with large length range in million scale time series.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2015
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2012
Principal coordinate strategy: a novel adaptive control strategy for differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
A Novel and Robust Evolution Algorithm for Optimizing Complicated Functions
CoRR, 2011


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