Liyan Song

Orcid: 0000-0003-1172-8825

According to our database1, Liyan Song authored at least 29 papers between 2004 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Coevolutionary scheduling of dynamic software project considering the new skill learning.
Autom. Softw. Eng., June, 2024

Conference Calendar [Conference Calendar].
IEEE Comput. Intell. Mag., February, 2024

2023
Conference Calendar [Conference Calendar].
IEEE Comput. Intell. Mag., November, 2023

STCM: A spatio-temporal calibration model for low-cost air monitoring sensors.
Inf. Sci., October, 2023

On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction.
Empir. Softw. Eng., October, 2023

Heterogeneous multi-project multi-task allocation in mobile crowdsensing using an ensemble fireworks algorithm.
Appl. Soft Comput., September, 2023

HumLa-fse2023.
Dataset, August, 2023

A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development.
IEEE Trans. Software Eng., February, 2023

Artificial Intelligence in Software Project Management.
Proceedings of the Optimising the Software Development Process with Artificial Intelligence, 2023

Joint optimisation of feature selection and SVM parameters based on an improved fireworks algorithm.
Int. J. Comput. Sci. Eng., 2023

ItoV: Efficiently Adapting Deep Learning-based Image Watermarking to Video Watermarking.
CoRR, 2023

A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Direct ICA on data tensor via random matrix modeling.
Signal Process., 2022

Variable speed multi-task allocation for mobile crowdsensing based on a multi-objective shuffled frog leaping algorithm.
Appl. Soft Comput., 2022

A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Methods for deep learning model failure detection and model adaption: A survey.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2020
An investigation of cross-project learning in online just-in-time software defect prediction.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Learning to cope with small noisy data in software effort estimation.
PhD thesis, 2019

Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling.
ACM Trans. Softw. Eng. Methodol., 2019

2018
A novel automated approach for software effort estimation based on data augmentation.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

2016
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2014
The potential benefit of relevance vector machine to software effort estimation.
Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014

2013
The impact of parameter tuning on software effort estimation using learning machines.
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

Spectral Decomposition for Optimal Graph Index Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2004
Improving online learning: Student perceptions of useful and challenging characteristics.
Internet High. Educ., 2004


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