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Liyan Song
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2020 – today
- 2024
- [j21]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) - [j20]Leandro L. Minku, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(1): 88 (2024) - [j19]Leandro L. Minku, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(2): 142 (2024) - [j18]Leandro Lei Minku, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(3): 88 (2024) - [j17]Cong Teng, Liyan Song, Xin Yao:
Online cross-project approach with project-level similarity for just-in-time software defect prediction. Empir. Softw. Eng. 29(6): 158 (2024) - [j16]Youcong Ni, Xin Du, Liyan Song, Ruliang Xiao, Peng Ye, Jianwen Wang:
A Two-Stage LLVM Option Sequence Optimization Method to Minimize Energy Consumption. Swarm Evol. Comput. 88: 101591 (2024) - [j15]Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao:
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, Leandro L. Minku, Xin Yao:
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, Xiaoqian Liu, Wei Sun, Zongxi Li:
STCM: A spatio-temporal calibration model for low-cost air monitoring sensors. Inf. Sci. 644: 119307 (2023) - [j6]Liyan Song, Leandro L. Minku:
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, Leandro L. Minku, Cong Teng, Xin Yao:
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, Leandro L. Minku, Cong Teng, Xin Yao:
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, Shuo Zhou, Haiping Lu:
Direct ICA on data tensor via random matrix modeling. Signal Process. 196: 108508 (2022) - [c10]Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao:
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. IJCNN 2022: 1-8 - [d1]José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano, Liyan Song, Leandro L. Minku, Fitsum Meshesha Kifetew, Anna Perini, Angelo Susi, Antonio Garmendia, Dominik Bork, Martin Eisenberg, Thiago do Nascimento Ferreira, Marouane Kessentini, Manuel Wimmer, Tien N. Nguyen, José Antonio Parejo, Ana Belén Sánchez, Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt, Michael Felderer, Eduard Paul Enoiu, Sahar Tahvili, Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez, Javier Ferrer, Pedro Delgado-Pérez, Aurora Ramírez, Breno Miranda:
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, Shuyi Zhang:
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, Leandro L. Minku, Danyi Feng, George G. Cabral, Liyan Song:
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, Leandro L. Minku, Xin Yao:
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, Leandro L. Minku, Xin Yao:
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, Leandro L. Minku, Xin Yao:
The potential benefit of relevance vector machine to software effort estimation. PROMISE 2014: 52-61 - 2013
- [c2]Liyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He:
Spectral Decomposition for Optimal Graph Index Prediction. PAKDD (1) 2013: 187-200 - [c1]Liyan Song, Leandro L. Minku, Xin Yao:
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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