宋丽妍科研成果

基本信息 科研项目 发表论文 新建主栏目 友情链接 链接名称 链接地址 https://sunnysong14.github.io/ 简单介绍 详细信息和招生信息，请详见个人主页 基本信息 名称 宋丽妍，女，博士。哈尔滨工业大学软件学院智能软件工程研究中心，副教授。 主要研究领域：智能软件工程、机器学习 详细信息请参见个人学术主页： https://sunnysong14.github.io/ 工作经历 标题 工作单位 哈尔滨工业大学，计算学部，软件学院 职位/职称 副教授 起讫时间 2023.12-现在 简单介绍 标题 工作单位 南方科技大学，计算机科学与工程系 职位/职称 研究助理教授（副高、硕导） 起讫时间 2019.12-2023.12 简单介绍 标题 工作单位 英国伯明翰大学，计算机学院 职位/职称 Research Fellow（博后） 起讫时间 2019.3-2019.11 简单介绍 标题 工作单位 香港浸会大学，计算机科学与工程系 职位/职称 高级研究助理 起讫时间 2015.11-2016.10 简单介绍 教育经历 标题 起讫时间 2012.10-2018.11 所学专业 计算机科学 学习机构 英国伯明翰大学，计算机学院 学历 博士 简单介绍 标题 硕士 起讫时间 2009.9-2011.7 所学专业 计算数学 学习机构 哈尔滨工业大学 学历 硕士 简单介绍 标题 起讫时间 2005.9-2009.7 所学专业 信息与计算科学 学习机构 哈尔滨工业大学 学历 本科 简单介绍 科研项目 项目名称 面向软件成本估算小数据问题的估算模型研究 项目来源 国家自然科学基金-青年科学基金 开始时间 2021.1 结束时间 2023.12 项目经费 24万 担任角色 负责 项目类别 纵向项目 项目状态 完成 简单介绍 项目名称 概念漂移在线检测与模型自适应 项目来源 南方科技大学-华为技术有限公司可信智能系统创新实验室 开始时间 2020.4 结束时间 2021.4 项目经费 70万 担任角色 参与 项目类别 横向项目 项目状态 完成 简单介绍 项目名称 多分类问题中的重现概念漂移在线检测 项目来源 南方科技大学-华为技术有限公司可信智能系统创新实验室 开始时间 2021.8 结束时间 2022.8 项目经费 76.8万 担任角色 参与 项目类别 纵向项目 项目状态 完成 简单介绍 专著-Book Chapter 出版物名称 Artificial Intelligence in Software Project Management in Optimising the Software Development Process with Artificial Intelligence 作者 Liyan Song and Leandro Lei Minku 出版时间 2023 出版社 Natural Computing Series. Springer 简单介绍 eBook link: https://link.springer.com/book/10.1007/978-981-19-9948-2 代表作 名称 [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. doi: 10.1109/TSE.2022.3158831 [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 Symposium on the Foundations of Software Engineering (ESEC/FSE 2023), pp. 605-617, San Francisco, California, United States, 3-9 Dec. 2023. doi: 10.1145/3611643.3616307 [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. doi: 10.1007/s10664-023-10341-8 [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. doi: 10.1145/3295700 [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 Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), pp. 468-479, Lake Buena Vista, Florida, United States, 4-9 Nov. 2018 其它论文 名称 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, no. 14, pp. 1-43, 19 Jan. 2024. Peijia Qin and Liyan Song*. "Online Learning in Varying Feature Space with Informative Variation", in the 13th IFIP International Conference on Intellegent Information Processing (IIP 2024), to appear, Shenzhen, China, 3-6 May, 2024 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. doi: 10.3233/FAIA230419 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. doi: 10.1007/978-3-031-43415-0_7 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 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, October 2023. doi: 10.1016/j.ins.2023.119307 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) 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. doi: 10.1109/IJCNN55064.2022.9891911 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, 2022. doi: 10.1016/j.sigpro.2022.108508 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. doi: 10.1109/ICACI55529.2022.9837710 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 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 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: 10.13195/j.kzyjc.2021.1319 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，pp. 1-18，2022. http://kns.cnki.net/kcms/detail/11.5946.TP.20220330.1421.004.html 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 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 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. doi: 10.1145/3377811.3380403 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 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 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 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 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 专利 名称 赵云策, 宋丽妍, 姚新。“一种待评估模型泛化性评测方法、装置、终端及存储介质”，国家发明专利，2023年1月交局，202310128015.5 赵云策, 宋丽妍, 姚新。“基于准确性和泛化性的模型性能确定方法、装置及终端”，国家发明专利，2023年1月交局，202310113484.X 宋丽妍，李淑娴，姚新。“一种单向类标噪声处理方法、终端及存储介质”，国家发明专利，2022年1月交局，202210104127.2 李淑娴，宋丽妍，姚新，张晓明，武晓宇，胡崝。“一种基于集成学习和样本重要性的模型训练方法及系统”，国家发明专利，2022年4月交局，202210446487.0 潘超，宋丽妍，姚新，武晓宇，胡崝。“分布外数据检测方法、装置、服务器及存储介质”，国家发明专利，实质审查，202110241746.1 宋丽妍，姚新，武晓宇，胡崝。“图像分类模型自学习的方法、装置、电子设备及存储介质”，国家发明专利，2021年3月实质审查，202110241737.2 张舒怡，宋丽妍，姚新，武晓宇，胡崝。“基于隐空间的 OOD 检测方法、装置、服务器及存储介质”，国家发明专利，已授权，授权公告号：CN113033817B，2023.4.28