Daoyuan Li

According to our database1, Daoyuan Li authored at least 18 papers between 2015 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
Magnetic tile fault detection of high-voltage electric machines: A multiview feature selection method via consistent soft label.
Int. J. Circuit Theory Appl., April, 2024

Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study.
npj Digit. Medicine, 2024

Partially shared federated multiview learning.
Knowl. Based Syst., 2024

2019
Watch out for this commit! A study of influential software changes.
J. Softw. Evol. Process., 2019

2018
Transforming Time Series for Efficient and Accurate Classification.
PhD thesis, 2018

Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting.
IEEE Trans. Inf. Forensics Secur., 2017

On Locating Malicious Code in Piggybacked Android Apps.
J. Comput. Sci. Technol., 2017

Sensing by proxy in buildings with agglomerative clustering of indoor temperature movements.
Proceedings of the Symposium on Applied Computing, 2017

Automatically Locating Malicious Packages in Piggybacked Android Apps.
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

Understanding Android app piggybacking.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Time Series Classification with Discrete Wavelet Transformed Data.
Int. J. Softw. Eng. Knowl. Eng., 2016

Time Series Classification with Discrete Wavelet Transformed Data: Insights from an Empirical Study.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Towards a generic framework for automating extensive analysis of Android applications.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

DSCo: A Language Modeling Approach for Time Series Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

DSCo-NG: A Practical Language Modeling Approach for Time Series Classification.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Profiling household appliance electricity usage with N-gram language modeling.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2015
Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection.
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015


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