个人简历

杨凤芹，女，副教授，工学博士，2009年6月博士毕业于吉林大学，硕士师导师。联系 Email: yangfq147@nenu.edu.cn 研究兴趣: 研究领域为机器学习与自然语言处理，当前主要集中在基于深度学习的自然语言处理及其应用、深度学习的理论基础问题的研究。 教育经历： 1997.09-2001.07，东北师范大学计算机系，本科； 2001.09-2004.07，东北师范大学计算机学院学院，硕士； 2004.09-2009.07，吉林大学计算机学院，博士。 海外学习经历： 2015.04-2016.04，2016.08-2017.04， 美国威斯康星大学计算机科学系访问学者。 讲授课程： 《自然语言处理》、《人工智能导论》和《机器学习》等。 发表论文： 1.SCI论文： [1] Fengqin Yang,Yinshu Che,Mei Kang,Shuhua Liu,Zhiguo Fu*. Continual text classification based on knowledge distillation and class-aware experience replay. KNOWL INF SYST Volume (65): 3923-3944,2023-05 . [2] Shihao Yang,Shaoru Zhang,Ming Fang, Fengqin Yang, Shuhua Liu. A Hierarchical Representation Model Based on Longformer and Transformer for Extractive Summarization.ELECTRONICS, Vol(11):1706-1-10页, 2022-05. [3] Shuhua Liu, Hua Ban,Yu Song, Mengyu Zhang, Fengqin Yang*. Method for Detecting Chinese Texts in Natural Scenes Based on Improved Faster R-CNN. INT J PATTERN RECOGN, Volume 34(2): 2053002-1-19, 2020 - 03. [4] Zhiguo Fu, Fengqin Yang, Minhao Yin. On blockwise symmetric matchgate signatures and higher domain #CSP . INFORM COMPUT, Volume 264(1):1-11, 2019-02. [5]Siya Chen,Tieli Sun, Fengqin Yang**,Hongguang Sun and YuGuan.An improved optimum-path forest clustering algorithm for remote sensing image segmentation.Computers & Geosciences, Volume 112, Pages 38-46, March 2018. [6] Siya Chen, Tieli Sun, Fengqin Yang, Hongguang Sun and Yu Guan. Remote sensing image classification using the spatial information obtained by statistical region merging. Remote Sensing Letters. Volume 8(6): 567-575页, 2017. [7] Guozhong Feng, Baiguo An, Fengqin Yang, Han Wang, Libiao Zhang. A Term Event Model based Feature Selection Scheme for Text Classification. PLoS ONE 12(4): e0174341. [8] Longjia Jia, Tieli Sun, Fengqin Yang, Hongguang Sun, Bangzuo Zhang. Prediction of Ubiquitination Sites with Feature-Weighting Scheme and Naive Bayes Vectorizer. J COMPUT THEOR NANOS, Vol.13(1): 286-293页, 2016. [9] Longjia Jia, Tieli Sun, Fengqin Yang, Honguang Sun, Bangzuo Zhang, Chih-Cheng Hung. A New Category-Based Weighting Scheme for Automated Text Categorization. J COMPUT THEOR NANOS. Vol.12(12): 5198-5205, 2015.) [10] Kaiying Deng, Jingwei Deng, Tieli Sun, Yu Guan, Fengqin Yang, Hongguang Sun. Aging phenomena, probability distribution functions and numerical implementations for Levy walks. MATER RES INNOV, Vol. 19(S8): 32-37, 2015. [11] Zhi Heng Yu, Tieli Sun, Honguang Sun, Fengqin Yang. Research on Combinational Forecast Models for the Traffic Flow. MATH PROBL ENG, Article Number: 201686:1-10, 2015. [12] Fengqin Yang, Yuanyuan Xing, Honguang Sun, Tieli Sun, Siya Chen. An Ontology-Based Semantic Similarity Measure Considering Multi-Inheritance in Biomedicine . MATH PROBL ENG. Article Number: 305369:1-9, 2015. [13] Zhiguo Fu, Fengqin Yang*. Holographic algorithms on bases of rank 2. INFORM PROCESS LETT, Vol. 114(11):585-590, 2014. [14] Minghao Yin, Yanmei Hu, Fengqin Yang, Xingtao Li, Wenxiang Gu. A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering. EXPERT SYST APPL, Vol.38, 9319-9324, 2011. [15] Hua Jiang, Shenghe Jiang, Jing Li, Fengqin Yang, Xin Hu. Ant clustering algorithm with K-harmonic means clustering. EXPERT SYST APPL,Vol.37,8679-8684, 2010. [16] Tieli Sun, Yujie Zhang, Fengqin Yang*, Xiquan Yang, Yingjie Jiang, Zibing Wang, KuiWu Li. A Novel Term-weighting Approach in Text Classification over Skewed Data Sets, INFORMATION, Vol. 13 No. 3(A), 621-633, 2010. [17] Fengqin Yang, Tieli Sun, Changhai Zhang.An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization. Expert Systems with Applications. Vol.36, No.6, 9847-9852, 2009. 2.EI论文： [1] Tieli Sun, Weiqiao Guan, Fengqin Yang*, Hongguang Sun, Chuande Ji, Meijia Song, Yanwen Li. Study on Subjective Statement Screening of Product Reviews Based on the Feature Combination Method. ICIC Express Letters, Vol. 10(7):1591-1597, 2016. [2]Tieli Sun, Yuanyuan Xing, Fengqin Yang*, Hongguan Sun, Siya Chen. A Novel Ontology-based Semantic Similarity Measure Considering Concept Height in Biomedicine. ICIC Express Letters, Vol.8(5):1281-1287, 2014. [3] Fengqin Yang, Wanting Zhou, Di Wu, Xiaoxin Sun, Hongguang Sun and Tieli Sun. An Improved Incremental Naive Bayesian for Sentiment Classification. ICIC Express Letters,Vol.7, No.3, 959-964, 2013. [4] Hongguang Sun, Lin Yang, Di Wu, Fengqin Yang*, Tieli Sun. A Multilabel Classification Approach Based on Ontology and Structure Weight Strategy. ICIC Express Letters, Vol.7, No.3(B), 1055-1059, 2013. [5] DiWu, Yongjing Zhang, Fengqin Yang, Siying Cheng, Hongguang Sun,Tieli Sun. Improved K-means Algorithm Based on Optimizing Initial Cluster Centers. ICIC Express Letters, Vol.7, No.3(B), 991-996, 2013. [6] Tieli Sun, Siying Cheng, Di Wu, Xiaoxin Sun, and Fengqin Yang*. A Novel Multi-label Clustering Method Based on Distance Measure.ICIC Express Letters ,Vol.6,No.5, 1235-1240, 2012. [7] Fengqin Yang, Xu Zhou, Di Wu, Xiquan Yang and Tieli Sun. A New Method of Chinese Short-text Classification Based on the Domain Ontology. ICIC Express Letters, Vol.6, No.6, 1399-1404, 2012. [8] Di Wu, Yifei Wang and Fengqin Yang*. Improvement of Term Weighting Algorithm in Text Classification. ICIC Express Letters,Vol.6,No.5, 1347-1352, 2012. [9] Tieli Sun, Siya Chen, Di Wu, Fengqin Yang* and Qian Yin. An improved approach to compute semantic similarity based on ontology. ICIC Express Letters, Vol.2, No.5, 1163-1167, 2011. [10] Fengqin Yang, Xu Zhou, DiWu and Tieli Sun. A fast improved k nearest neighbor algorithm based on the tree structure. ICIC Express Letters, Vol.2, No.5, 1039-1044, 2011. [11] Di Wu, Dapeng Zhang, Fengqin Yang, Xu Zhou, Tieli Sun. A Novel Multi-Label Classification Based on PCA and ML-KNN. ICIC Express Letters, Vol.5, No.9(B),3437-3442, 2011-09. [12] 基于本体的中文科技论文分类研究, 孙铁利, 韩平平, 吴迪, 姜英杰, 杨凤芹*. International Conference on Internet Technology and Applications (iTAP2011) (6006424-1-4页), 2011. [13] 基于本体的信息抽取技术研究.吴迪, 吴兰兰, 孙铁利, 姜英杰, 杨凤芹*. EI International Conference on Internet Technology and Applications(iTAP2011)(6006445-1-4页), 2011. [14] Di Wu, Xiaoxue Wang, Ting Zuo, Tieli Sun, Fengqin Yang*. A sequential pattern mining algorithm with time constraints based on vertical format. The 2nd International Conference on Information Science and Engineering(ICISE2010), Vol.(5):3479-3482页, 2010. [15] Fengqin Yang, Changhai Zhang, Tieli Sun. Particle Swarm Optimization and Differential Evolution in Fuzzy Clustering. Lecture Notes in Computer Science, Vol.5507, 501-508, 2009. [16] Fengqin Yang, Changhai Zhang, Tieli Sun. Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM Training. The 19th International Conference on Pattern Recognition(ICPR2008), 4761282-1-4, 2008. [17] Fengqin Yang, Changhai Zhang, Ge Bai. A Novel Genetic Algorithm Based on Tabu Search for HMM Optimization. Fourth International Conference On Natural Computation, Vol.4, 57-61, 2008-10. [18] Fengqin Yang, Changhai Zhang. An Effective Hybrid Optimization Algorithm for HMM. Fourth International Conference On Natural Computation, Vol.4, 80-84, 2008. [19]Fengqin Yang,Tieli Sun,Jigui Sun. Learning Hierarchical User Interest Models from Web Pages.Wuhan University Journal of Natural Sciences, Vol.11(1):6-10, 2006 3.中国科技核心期刊论文： [1] 杨凤芹,宋美佳,孙铁利,孙红光. 面向中文产品评论的完整评价对象抽取方法研究.计算机工程, Vol. 43 (6): 169-176, 2017. [2] 杨凤芹,樊娜,孙红光,孙铁利,彭杨. 基于段落分布及类别分布的特征选择方法. 小型微型计算机系统. （已接受） [3] 杨凤芹,孙吉贵,张长胜,张长海.大词汇量连续语音识别中搜索空间的表示及相关搜索方法的研究进展.计算机科学,35卷2期: 191-195页, 2008. [4] 张长胜,孙吉贵,杨凤芹*,张慧杰.一种基于PSO的动态聚类算法.计算机研究与发展（增刊）,44卷Z2期: 89-93页, 2007. [5]孙铁利,杨凤芹.根据用户隐式反馈建立和更新用户兴趣模型.东北师大学报自然科学版, Vol.35(3):99-104, 2003. 主持和参加的项目: 1.主持项目： [1]基于本体的文本分类系统的研究与开发（吉发改高技[2013]779号）.吉林省发展和改革委员会，2013-09 - 2014-12. [2]高性能语音识别中声学建模方法的研究（20061006），校内自然科学青年基金，2006-01 - 2007-12. 2.主要参与项目： [1]FKT算法与Holant问题(20200201161JC), 吉林省科技厅自然科学基金（学科布局项目）, 2020-01 - 2022-12 . [2]助老机器人的多模态情感交互方法研究(2019C053-4), 吉林省发展和改革委员会, 2019-01 - 2020-12. [3]Holant问题的计算复杂性分类研究(61872076), 国家自然科学基金面上项目, 2019-01 - 2022-12. [4] 基于贝叶斯图模型的海量短文本数据统计推断（11501095），国家自然科学基金青年项目，2016-01 - 2018-12. [5] 跨领域的中文评论情感分析研究及应用（2015Y56），吉林省发展和改革委员会，2015-01 - 2017-12. [6]挖掘平台的构建（长科技合2014214号），长春市科技局，2014-12 - 2016-12. [7] 基于语义的网络热点话题发现关键技术研究及应用（20130206041GX），吉林省科技厅工业高新技术（重点）， 2013-01 - 2015-12. [8] 基于Web的产品评论挖掘关键技术研究及应用（20120302），吉林省科技厅工业高新技术（重点），2012-07 - 2014-12. [9] 基于本体的语义相似度计算方法研究，教育部博士点基金，2012-01 - 2014-12. [10] 基于骨架特征选择的可变地形多尺度建模与交互可视化研究（41101434），国家自然科学基金青年项目，2012-01 - 2014-12. [11] 自适应地形可视化增强建模与应用（20100043120012），教育部博士点基金，2011-01 - 2013-12. [12]基于“中国科技论文在线”的数据分类方法研究与应用（20090043110010），教育部博士点基金，2010-01 - 2010-12. [13] 基于本体的短文本分类关键技术研究（20090503），吉林省科技厅应用基础研究，2009-07 - 2011-12. 专利： 基于语义的文本相似度计算方法， 2016已授权. 软件著作权： [1] 网络热点话题发现监测系统v1.0，2016. [2] 产品评论搜索软件，2016. [3] 基于本体的中文文本分类软件V1.0，2015. [4] 中文产品评论倾向分析软件V1.0，2015. 科研与教学奖励： 科研奖励： [1] 吉林省科学技术奖科技进步奖三等奖. Web信息智能分析与处理关键技术研究与应用.吉林省科学技术奖励委员会, 2016. [2] 吉林省科学技术奖自然科学奖三等奖. 基于本体的文本挖掘方法研究. 吉林省科学技术奖励委员会, 2014. 教学获奖： [1]《FLASH动画》.2010年吉林省高等学校教育技术成果（网络资源类）省级三等奖，吉林省教育厅. [2]《计算机系统结构》.2010年吉林省高等学校教育技术成果（网络资源类）省级二等奖，吉林省教育厅. [3]《编译原理》.2010年吉林省高等学校教育技术成果（网络资源类）省级三等奖，吉林省教育厅. 学生获奖： 2021级 韩京轩同学获得校优秀硕士学位论文。 2022级 车银树同学获得国家奖学金。