Liyan Song (宋丽妍）

Book Chapter

• Liyan Song and Leandro Lei Minku (2023). "Artificial Intelligence in Software Project Management". In: José Raúl Romero, Inmaculada Medina-Bulo and Francisco Chicano (Eds.) Optimizing the Software Development Process with Artificial Intelligence. Natural Computing Series. Springer, Singapore. https://doi.org/10.1007/978-981-19-9948-2_2
  eBook ISBN: 978-981-19-9948-2. Print ISBN: 978-981-19-9947-5. Also see here.
  (Manuscript submitted May 2021; feedbacks of two reviewers 28 Dec. 2021; 1st revised Mar. 2022; 2nd revised April 2023; publishing agreement Dec. 2022; first online 20 July 2023)

Selected Papers

1. Liyan Song and Leandro L. Minku. "A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development", in IEEE Transactions on Software Engineering (TSE 2023), vol. 49, no. 2, pp. 646-666, 1 Feb. 2023. https://doi.org/10.1109/TSE.2022.3158831 (CCF-A, CORE-A*, 中科院一区, JCR一区, SCI, EI)（获 "2023年深圳市第三届优秀技术学术论文奖" -- 深圳市科学技术委员会，2023/12）
   *Paper also available here. Supplementary material available here. Source code available here.
   (Manuscript submitted May 2021; 1st revised Oct. 2021; 2nd revised Jan. 2022; accepted 3 Mar. 2022; available online 15 Mar. 2022; published 1 Feb. 2023)

2. Liyan Song, Leandro L. Minku, Cong Teng and Xin Yao. "A Practical Human Labeling Method for Online Just-In-Time Software Defect Prediction", in the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023), pp. 605-617, San Francisco, California, United States, 3-9 Dec. 2023. https://doi.org/10.1145/3611643.3616307 (CCF-A, CORE-A*, EI) (Published: 30 November 2023)
   *Paper available via ACM Open Access here and also available here. Supplementary material available here or here. Source code available here or here.
   (Full paper submitted 2 Feb. 2022; revised submitted 29 June 2023 for major revisions only; accepted 27 July 2023; camera ready 24 Aug. 2023)

3. Liyan Song, Leandro L. Minku and Xin Yao. "On the Validity of Retrospective Predictive Performance Evaluation Procedures in Just-In-Time Software Defect Prediction", in Empirical Software Engineering (EMSE 2023), vol. 28, no. 5, pp. 1-33, 18 Sep. 2023. https://doi.org/10.1007/s10664-023-10341-8 (CCF-B, CORE-A, 中科院二区, JCR一区, SCI, EI)
   *Paper available via SpringerNature Open Access here and also available here. Supplementary material available here and here. Source code available here.
   (Manuscript submitted 30 Sep. 2022; 1st revised 20 Mar. 2023; accepted 15 May 2023; e-proof confirmed 11 July 2023; published 18 Sep. 2023)

4. Liyan Song, Leandro L. Minku and Xin Yao. "Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling", in ACM Transactions on Software Engineering and Methodology (TOSEM 2019), vol. 28, no. 1, pp. 5:1-5:43, Jan. 2019. https://doi.org/10.1145/3295700 (CCF-A, CORE-A*, 中科院一区, JCR一区, SCI, EI)
   *Paper also available here. Source code available here.

5. Liyan Song, Leandro L. Minku and Xin Yao. "A Novel Automated Approach for Software Effort Estimation based on Data Augmentation", in the 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), pp. 468-479, Lake Buena Vista, Florida, United States, 4-9 Nov. 2018. https://doi.org/10.1145/3236024.3236052 (CCF-A, CORE-A*, EI) (Published: 26 October 2018)
   *Paper also available here. Supplementary material available here.
   (Paper unconditionally accepted -- acceptance rate for unconditionally accepted papers 19%. Acceptance rate including conditionally accepted papers 21%)

Other Papers

6. Xiaoning Shen, Jiaqi Lu, Shuxian Li, and Liyan Song*. "Feature mapping based on heterogeneous cross-company effort estimation", in Software Quality Journal (SQJ 2024), vol. 32, pp.1717-1761, 17 Oct. 2024. https://doi.org/10.1007/s11219-024-09697-x (CCF-C, 中科院三区, JCR三区, SSCI)
   (Manuscript submitted Nov. 2023; 1st major revised Mar. 2024; accepted 28 Aug. 2024; published 17 Oct. 2024; issue data Dec. 2024) (The second author was my co-supervised master student at NUIST)
   

7. Cong Teng, Liyan Song*, and Xin Yao*. "Online Cross-Project Approach with Project-Level Similarity for Just-In-Time Software Defect Prediction", in Empirical Software Engineering (EMSE 2024), vol. 29, article #158 (page # 53), 2024. https://doi.org/10.1007/s10664-024-10551-8 (CCF-B, CORE-A, 中科院二区, JCR一区, SCI, EI)
   *Supplementary material available here. Source code available here.
   (Manuscript submitted Aug. 2023; 1st major revised June 2024; 2nd minor revised 17 Sep. 2024; accepted 23 Sep. 2024; doi on 29 Sep. 2024; published 1 Oct. 2024) (The first author was a 3rd-year master student under my supervision at SUSTech)
   

8. ShuxianLi, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung*, and Xin Yao*. "Multi-class Imbalance Classification Based on Data Distribution and Adaptive Weights", in IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 36, no. 10, pp. 5265-5279, 4 April 2024. https://doi.org/10.1109/TKDE.2024.3384961 (CCF-A, 中科院二区, SCI)
   *Paper also available here. Source code available here.
   (Manuscript submitted 15 June 2022; major revision received 17 May 2023; 1st revised 14 August 2023; accepted 19 March 2024; data of publication 4 April 2024) (The first author was a PhD student under the SUSTech-HKBU joint programme and I was the co-supervisor at SUSTech)
   

9. Zixin Zhong, Liyan Song*, Fengzhen Tang, and Bo Yuan. "Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction", in the International Joint Conference on Neural Networks (IJCNN 2024, co-allocated with Fuzzy-IEEE and IEEE CEC), in press, Yokohama, Japan, June 30 - July 5, 2024. (CCF-C, EI)
   *Paper also available todo. Source code available todo.
   (The first author was a 2nd-year master student under my supervision at SUSTech)

10. Youcong Ni, Xin Du, Liyan Song, Ruliang Xiao, Peng Ye, and Jianwen Wang. "A Two-Stage LLVM Option Sequence Optimization Method to Minimize Energy Consumption", in Swarm and Evolutionary Computation, vol. 88, pp. 101591:1-16, May 2024. https://doi.org/10.1016/j.swevo.2024.101591 (中科院一区, SCIE)

11. Xiaoning Shen, Chengbin Yao, Liyan Song, Jiyong Xu, and Mingjian Mao. "Coevolutionary Scheduling of Dynamic Software Project Considering the New Skill Learning", in Automated Software Engineering (ASE 2024), vol. 31, artical #14 (page # 43), 19 Jan. 2024. https://doi.org/10.1007/s10515-023-00411-y (CCF-B, 中科院三区, JCR二区, SCI)

12. Peijia Qin and Liyan Song*. "Online Learning in Varying Feature Space with Informative Variation", in the 13th IFIP International Conference on Intelligent Information Processing (IIP 2024), pp.19-33, Shenzhen, China, 3-6 May, 2024. https://doi.org/10.1007/978-3-031-57808-3_2 (EI)
    (The first author was a third-year undergraduate student at SUSTech)

13. Shuxian Li, Liyan Song, Yiu-ming Cheung* and Xin Yao*. "BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-class Imbalance Learning", in the 26th European Conference on Artificial Intelligence (ECAI 2023), pp. 1414-1421, Krakow, Poland, 30 Sep.-4 Oct. 2023. https://doi.org/10.3233/FAIA230419 (CCF-B, CORE-A, EI)
    *Paper also available here. Source code available here.
    (The first author was a PhD student under the SUSTech-HKBU joint programme and I was the co-supervisor at SUSTech)

14. Shuxian Li, Liyan Song*, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung and Xin Yao*. "ARConvL: An Adaptive Region Based Convolutional Learning Framework for Multi-class Imbalance Learning", in the 22rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), pp. 103-120, Torino, Italy, 18-22 Sep. 2023. https://doi.org/10.1007/978-3-031-43415-0_7 (CCF-B, CORE-A, EI)
    *Paper also available here. Source code available here.
    (The first author was a PhD student under the SUSTech-HKBU joint programme and I was the co-supervisor at SUSTech)

15. Guanhui Ye, Jiashi Gao, Yunche Wang, Liyan Song, and Xuetao Wei. "ItoV: Efficiently Adapting Deep Learning-Based Image Watermarking to Video Watermarking", in 2023 International Conference on Culture-Oriented Science and Technology (CoST), pp. 192-197, 2023. 10.1109/CoST60524.2023.00047

16. Xiaoning Shen, Di Xu, Liyan Song and Yuchi Zhang. "Heterogeneous Multi-project Multi-task Allocation in Mobile Crowdsensing Using an Ensemble Fireworks Algorithm", in Applied Soft Computing, vol. 145, September 2023. doi: 10.1016/j.asoc.2023.110571

17. Yingjun Zhang, Chang Ju, Jiahu Qin, Liyan Song, Xiaoqian Liu, Wei Sun and Zongxi Li. "STCM: A Spatio-Temporal Calibration Model for Low-Cost Air Monitoring Sensors", in Information Science, vol. 644, 119307, October 2023. https://doi.org/10.1016/j.ins.2023.119307 (CCF-B, 中科院一区, SCI, EI)

18. Xiaoning Shen, Jiyong Xu, Mingjian Mao, Jiaqi Lu, Liyan Song and Qian Wang. "Joint Optimisation of Feature Selection and SVM Parameters based on an Improved Fireworks Algorithm.", in International Journal of Computational Science and Engineering,, vol. 26, no. 6, 702-714, Jan. 2023. https://dl.acm.org/doi/abs/10.1504/ijcse.2023.135280

19. 申晓宁，许笛，宋丽妍，姚铖滨，王玉芳。“采用离散烟花算法的移动群智感知异构任务分配”。计算机工程与科学，45(2), pp. 321-331, doi: 10.3969/j.issn.1007-130X.2023.02.015, 2023 (SCI)

20. Liyan Song, Shuxian Li, Leandro L. Minku and Xin Yao. "A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise from Verification Latency", in the 2022 International Joint Conference on Neural Networks (IJCNN 2022), pp. 1-8, Padova, Italy (Virtual), 18-23 July 2022. https://doi.org/10.1109/IJCNN55064.2022.9891911 (CCF-C, EI)
    *Paper also available here.

21. Liyan Song, Shuo Zhou and Haiping Lu. "Direct ICA on Data Tensor via Random Matrix Modeling", in Signal Processing, vol. 196, pp. 108508.1-11, July 2022. https://doi.org/10.1016/j.sigpro.2022.108508 (CCF-C, 中科院二区, JCR一区，SCI, EI)
    *Paper available via Elsevier Open Access here. Source code available here.
    (Completed 2016; manuscript submitted 15 May 2021; revised 5 Nov. 2021; accepted 13 Feb. 2022; available online 18 Feb. 2022)

22. Cong Teng and Liyan Song*. "In Pursuit of the Best Detection of Positive Data Under User's Concern on False Alarm", in the 14th International Conference on Advanced Computational Intelligence (ICACI 2022), pp. 337-345, Wuhan, China, 15-17 July 2022. https://doi.org/10.1109/ICACI55529.2022.9837710 (EI)
    *Paper also available here.
    (The first author was a 1st-year master student under my supervision at SUSTech)

23. Xiaoning Shen, Qingzhou Chen, Hongli Pan, Liyan Song and Yinan Guo. "Variable Speed Multi-task Allocation for Mobile Crowdsensing based on a Multi-objective Shuffled Frog Leaping Algorithm", in Applied Soft Computing, vol. 127, pp. 109330.1-17, 2022. doi: 10.1016/j.asoc.2022.109330 (中科院二区, SCI, EI)

24. Xiaoning Shen, Jiaqi Lu, Xuan You, Liyan Song* and Zhongpei Ge. "A Region Enhanced Discrete Multi-Objective Fireworks Algorithm for Low-Carbon Vehicle Routing Problem", in Complex System Modeling and Simulation, vol. 2, no. 2, pp. 142-155, June 2022. doi: 10.23919/CSMS.2022.0008

25. 申晓宁，姚铖滨，徐继勇，宋丽妍，王玉芳。“考虑新技能学习机制的软件项目调度人工蜂群算法”。控制与决策，38(3): 790-796, March 2023. doi: 10.13196/j.cims.2021.0830 (EI)

26. 申晓宁，徐继勇，姚铖滨，宋丽妍。“基于分组学习粒子群算法的众包软件项目调度”。计算机集成制造系统，vol. 30, no. 6, pp. 2056-2068，2024. http://kns.cnki.net/kcms/detail/11.5946.TP.20220330.1421.004.html

27. Shuyi Zhang, Chao Pan, Liyan Song, Xiaoyu Wu, Zheng Hu, Ke Pei, Peter Tino and Xin Yao. "Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection", in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), pp. 795-810, Basque, Spain (Virtual), 13-17 Sep. 2021 doi: 10.1007/978-3-030-86523-8_48 (CCF-B, CORE-A, EI)
    (The first and second authors were PhD and master students at SUSTech, respectively)

28. Xiaoyu Wu, Zheng Hu, Ke Pei, Liyan Song, Zhi Cao and Shuyi Zhang. "Methods for Deep Learning Model Failure Detection and Model Adaption: A survey", in IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), pp. 218-223, 2021

29. Sadia Tabassum, Leandro Lei Minku, Danyi Feng, George G. Cabral and Liyan Song. "An Investigation of Cross-Project Learning in Online Just-In-Time Software Defect Prediction", in the 42nd International Conference on Software Engineering (ICSE 2020), pp. 554-565, Seoul, South Korea, 6-11 July 2020. https://doi.org/10.1145/3377811.3380403 (CCF-A, CORE-A*, EI)
    *Paper also available here. Supplementary material available here.
    (Acceptance rate 20.9%)

30. Liyan Song and Haiping Lu. "EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator", in the 8th Asian Conference on Machine Learning (ACML 2016), pp. 445-460, Hamilton, New Zealand, 16-18 Nov. 2016 (CCF-C, EI)
    (I was a research assistant of Dr. Haiping Lu at HKBU during 2015/11-2016/10)

31. Liyan Song and Haiping Lu. "Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA", in Asian Conference on Machine Learning (ACML 2016), pp. 398-413, Hamilton, New Zealand, 16-18 Nov. 2016 (CCF-C, EI)
    *Source code available here.
    (I was a research assistant of Dr. Haiping Lu at HKBU during 2015/11-2016/10)

32. Liyan Song, Leandro L. Minku and Xin Yao. "The Potential Benefit of Relevance Vector Machine to Software Effort Estimation", in the 10th International Conference on Predictive Models in Software Engineering (PROMISE 2014), pp. 52-61, Torino, Italy, 17 September 2014. doi: 10.1145/2639490.2639510 (EI)
    *Paper available via ACM Open Access here and also available here.

33. Liyan Song, Leandro L. Minku and Xin Yao. "The Impact of Parameter Tuning on Software Effort Estimation Using Learning Machines", in the 9th International Conference on Predictive Models in Software Engineering (PROMISE 2013), pp. 9:1-9:10, USA, 9 October 2013. doi: 10.1145/2499393.2499394 (EI)
    *Paper available via ACM Open Access here and also available here.

34. Liyan Song, Yun Peng, Byron Choi, Jianliang Xu and Bingsheng He. "Spectral Decomposition for Optimal Graph Index Prediction", in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), pp. 187-200, Gold Coast, Australia, 14-17 April 2013 (CCF-C, CORE-A, EI)
    (I was a research assistant of Dr. Byron Choi at HKBU in 2012)

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