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Liyan Song
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2020 – today
- 2024
- [j22]Xiaoning Shen, Chengbin Yao, Liyan Song, Jiyong Xu, Mingjian Mao:
Coevolutionary scheduling of dynamic software project considering the new skill learning. Autom. Softw. Eng. 31(1): 14 (2024) - [j21]Leandro L. Minku
, Liyan Song
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(1): 88 (2024) - [j20]Leandro L. Minku
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(2): 142 (2024) - [j19]Leandro Lei Minku
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(3): 88 (2024) - [j18]Cong Teng
Online cross-project approach with project-level similarity for just-in-time software defect prediction. Empir. Softw. Eng. 29(6): 158 (2024) - [j17]Xiaoning Shen, Jiaqi Lu, Shuxian Li, Liyan Song:
Feature mapping based on heterogeneous cross-company effort estimation. Softw. Qual. J. 32(4): 1717-1761 (2024) - [j16]Youcong Ni, Xin Du, Liyan Song
A Two-Stage LLVM Option Sequence Optimization Method to Minimize Energy Consumption. Swarm Evol. Comput. 88: 101591 (2024) - [j15]Shuxian Li
Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights. IEEE Trans. Knowl. Data Eng. 36(10): 5265-5279 (2024) - [c15]Peijia Qin, Liyan Song:
Online Learning in Varying Feature Spaces with Informative Variation. Intelligent Information Processing (1) 2024: 19-33 - [c14]Zixin Zhong, Liyan Song, Fengzhen Tang, Bo Yuan:
Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction. IJCNN 2024: 1-10 - [i2]Wenjin Niu, Zijun Gao, Liyan Song, Lingbo Li:
Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data. CoRR abs/2407.13054 (2024) - 2023
- [j14]Xiaoning Shen, Di Xu, Liyan Song, Yuchi Zhang:
Heterogeneous multi-project multi-task allocation in mobile crowdsensing using an ensemble fireworks algorithm. Appl. Soft Comput. 145: 110571 (2023) - [j13]Marley M. B. R. Vellasco, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 18(3): 88 (2023) - [j12]Marley M. B. R. Vellasco, Liyan Song
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 18(4): 80 (2023) - [j11]Xiaoning Shen, Hongli Pan, Zhongpei Ge, Wenyan Chen, Liyan Song, Shuo Wang:
Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization. Complex Syst. Model. Simul. 3(3): 202-219 (2023) - [j10]Liyan Song
On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction. Empir. Softw. Eng. 28(5): 124 (2023) - [j9]Xiaoning Shen, Jiyong Xu, Mingjian Mao, Jiaqi Lu, Liyan Song, Qian Wang:
Joint optimisation of feature selection and SVM parameters based on an improved fireworks algorithm. Int. J. Comput. Sci. Eng. 26(6): 702-714 (2023) - [j8]Qian Wang, Liyan Song, Jiaqi Lu, Mingjian Mao, Jiyong Xu, Xiaoning Shen:
Joint optimisation of feature selection and SVM parameters based on an improved fireworks algorithm. Int. J. Comput. Sci. Eng. 26(6): 702-714 (2023) - [j7]Yingjun Zhang, Chang Ju, Jiahu Qin, Liyan Song
STCM: A spatio-temporal calibration model for low-cost air monitoring sensors. Inf. Sci. 644: 119307 (2023) - [j6]Liyan Song
A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development. IEEE Trans. Software Eng. 49(2): 646-666 (2023) - [c13]Shuxian Li, Liyan Song, Yiu-ming Cheung, Xin Yao:
BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning. ECAI 2023: 1414-1421 - [c12]Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao:
ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification. ECML/PKDD (2) 2023: 103-120 - [c11]Liyan Song
A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction. ESEC/SIGSOFT FSE 2023: 605-617 - [p1]Liyan Song, Leandro L. Minku
Artificial Intelligence in Software Project Management. Optimising the Software Development Process with Artificial Intelligence 2023: 19-65 - [d2]Liyan Song
HumLa-fse2023. Zenodo, 2023 - [i1]Guanhui Ye, Jiashi Gao, Yuchen Wang, Liyan Song, Xuetao Wei:
ItoV: Efficiently Adapting Deep Learning-based Image Watermarking to Video Watermarking. CoRR abs/2305.02781 (2023) - 2022
- [j5]Xiaoning Shen, Qingzhou Chen, Hongli Pan, Liyan Song, Yinan Guo:
Variable speed multi-task allocation for mobile crowdsensing based on a multi-objective shuffled frog leaping algorithm. Appl. Soft Comput. 127: 109330 (2022) - [j4]Xiaoning Shen, Jiaqi Lu, Xuan You, Liyan Song, Zhongpei Ge:
A Region Enhanced Discrete Multi-Objective Fireworks Algorithm for Low-Carbon Vehicle Routing Problem. Complex Syst. Model. Simul. 2(2): 142-155 (2022) - [j3]Liyan Song
Direct ICA on data tensor via random matrix modeling. Signal Process. 196: 108508 (2022) - [c10]Liyan Song, Shuxian Li, Leandro L. Minku
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. IJCNN 2022: 1-8 - [d1]José Raúl Romero
Complementary material for the book "Optimising the Software Development Process with Artificial Intelligence". Zenodo, 2022 - 2021
- [c9]Xiaoyu Wu, Zheng Hu, Ke Pei, Liyan Song, Zhi Cao
Methods for deep learning model failure detection and model adaption: A survey. ISSRE Workshops 2021: 218-223 - [c8]Shuyi Zhang, Chao Pan, Liyan Song, Xiaoyu Wu, Zheng Hu, Ke Pei, Peter Tino, Xin Yao:
Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection. ECML/PKDD (3) 2021: 795-810 - 2020
- [c7]Sadia Tabassum
An investigation of cross-project learning in online just-in-time software defect prediction. ICSE 2020: 554-565
2010 – 2019
- 2019
- [b1]Liyan Song:
Learning to cope with small noisy data in software effort estimation. University of Birmingham, UK, 2019 - [j2]Liyan Song
Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling. ACM Trans. Softw. Eng. Methodol. 28(1): 5:1-5:46 (2019) - 2018
- [c6]Liyan Song
A novel automated approach for software effort estimation based on data augmentation. ESEC/SIGSOFT FSE 2018: 468-479 - 2016
- [c5]Liyan Song, Haiping Lu:
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA. ACML 2016: 398-413 - [c4]Liyan Song, Haiping Lu:
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator. ACML 2016: 445-460 - 2014
- [c3]Liyan Song
The potential benefit of relevance vector machine to software effort estimation. PROMISE 2014: 52-61 - 2013
- [c2]Liyan Song
Spectral Decomposition for Optimal Graph Index Prediction. PAKDD (1) 2013: 187-200 - [c1]Liyan Song, Leandro L. Minku
The impact of parameter tuning on software effort estimation using learning machines. PROMISE 2013: 9:1-9:10
2000 – 2009
- 2004
- [j1]Liyan Song, Ernise Singleton, Janette R. Hill, Myung Hwa Koh:
Improving online learning: Student perceptions of useful and challenging characteristics. Internet High. Educ. 7(1): 59-70 (2004)
Coauthor Index
aka: Leandro Lei Minku
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last updated on 2024-11-20 20:58 CET by the dblp team
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