教授

博士生导师

硕士生导师

主要任职：无

性别：女

毕业院校：大连理工大学

学位：博士

在职信息：在职

所在单位：计算机科学与技术学院

学科：计算机应用技术 计算机软件与理论

办公地点：创新大厦A930

电子邮箱：lils@dlut.edu.cn

个人简介Personal Profile

李丽双，工学博士，大连理工大学计算机科学与技术学院，教授，博士生导师、硕士生导师。研究方向为自然语言处理、数据挖掘和机器学习等。
        长期从事数据挖掘，自然语言处理，生物信息处理以及深度学习、迁移学习机器学习等人工智能领域的研究，研究出的系统提高了计算机自动或半自动从海量数据中提取有用信息的能力。
        近年来在国内外著名学术期刊上发表论文80余篇，并在国际著名期刊ACM/IEEEE transaction、 Information Science、Neurocomputing、Journal of Biomedical Informatics等发表相关论文，获得多项国家发明专利。先后获辽宁省和大连市自然科学学术成果一等奖。

    多次荣获大连理工大学教学质量优良奖，并于2014年荣获大连理工大学教学质量优秀奖；获得“大连市IT优秀教师“、“电信学院优秀女教师 ”等荣誉称号，被电信学院学生评为“我最喜爱的老师”。

    指导的博士生、硕士生多次获国家奖学金、“东芝医疗”单项奖学金等并荣获大连市优秀毕业生、大连理工大学优秀研究生等荣誉称号。


欢迎致力于自然语言处理、数据挖掘、知识获取、机器学习等领域研究的学生、科研人员，报考我们的博士和硕士研究生。


主持及参与的纵向课题：
（1）2017-2020年， 国家自然科学基金面上项目”融合语义控制实体识别和结构化要素识别的生物医学事件抽取”
（2）2012-2015年，国家自然科学基金面上项目“融合指代消解和迁移学习的蛋白质交互关系抽取的研究”
（3）2009-2010年，微软亚洲研究院主题研究支持计划“Mining English-Chinese Named Entity Pairs Based on Multi-feature Integrated Models from Comparable Corpora”
（4）2012-2015年 国家自然科学基金面上项目“跨语言信息检索中的机器翻译研究”
（5）2011-2014年 国家自然科学基金重点项目“面向产品生命周期的知识协调管理若干理论与方法研究”



    教育经历Education Background
    工作经历Work Experience

    1982.9 1985.7
        河北昌黎一中
        无
    2008.9 2013.4
        大连理工大学
        知识管理
        博士
    1989.9 1992.4
        大连理工大学
        计算机
        硕士
    1985.9 1989.7


2014.12 至今

    计算机学院
    教授

2006.4 2014.12

    计算机学院
    副教授

1994.12 2006.3

    计算机学院
    讲师

1992.4 1994.12

    计算机学院
    助教


论文成果
当前位置: 中文主页 >> 科学研究 >> 论文成果

    [1]李丽双,周安桥,刘阳,钱爽,耿浩彭.基于动态注意力GRU的特定目标情感分类[J],中国科学:信息科学,2019,08:1019-1030
    [2]He, Xinyu,Li, Lishuang,Song, Xingchen,Huang, Degen,Ren, Fuji.Multi-Level Attention Based BLSTM Neural Network for Biomedical Event Extraction[J],IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2019,E102D(9):1842-1850
    [3]Lu, Hongbin,Li, Lishuang,He, Xinyu,Liu, Yang,Zhou, Anqiao.Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks[J],COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE,2019,176:61-68
    [4]李丽双,钱爽,周安桥,刘阳,郭元凯.融合依存信息Attention机制的药物关系抽取研究[J],中文信息学报,2019,33(2):89-96
    [5]Li, Lishuang,Wan, Jia,Zheng, Jieqiong,Wang, Jian.Biomedical event extraction based on GRU integrating attention mechanism[J],BMC BIOINFORMATICS,2018,19(Suppl 9):285
    [6]He, Xinyu,Li, Lishuang,Liu, Yang,Yu, Xiaoming,Meng, Jun.A Two-Stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2018,15(4):1325-1332
    [7]李盘林,赵铭伟,徐喜荣,李丽双,李伯章.奇数网格(或棋盘)德杰尼斯问题解法[J],大连理工大学学报,2018,58(2):209-212
    [8]Li, Lishuang,He, Xinyu,Zheng, Jieqiong,Huang, Degen,Ren, Fuji.An Active Transfer Learning Framework for Protein-Protein Interaction Extraction[J],IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2018,E101D(2):504-511
    [9]李丽双.Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis[A],Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018),2018,181-189
    [10]李丽双.An End-to-End Entity and Relation Extraction Network with Multi-head Attention[A],17th China National Conference on Computational Linguistics,2018
    [11]李丽双,郭元凯.基于CNN-BLSTM-CRF模型的生物医学命名实体识别[J],中文信息学报,2018,32(1):116-122
    [12]孟军,张晶,姜丁菱,何馨宇,李丽双.结合近邻传播聚类的选择性集成分类方法[J],计算机研究与发展,2018,55(5):986-993
    [13]何馨宇,李丽双,万佳,宋鼎新,孟军.Biomedical event trigger detection based on BLSTM integrating attention mechanism and sentence vector[A],IEEE International Conference on Bioinformatics and Biomedicine (BIBM2018),2018
    [14]Li, Lishuang,Wan, Jia,Huang, Degen.Biomedical Domain-Oriented Word Embeddings via Small Background Texts for Biomedical Text Mining Tasks[A],2018,10619:554-564
    [15]Huang, Degen,Jiang, Zhenchao,Zou, Li,Li, Lishuang.Drug-drug interaction extraction from biomedical literature using support vector machine and long short term memory networks[J],INFORMATION SCIENCES,2017,415:100-109
    [16]Meng, Jun,Zhang, Jing,Luan, Yu-Shi,He, Xin-Yu,Li, Li-Shuang,Zhu, Yuan-Feng.Parallel gene selection and dynamic ensemble pruning based on Affinity Propagation[J],COMPUTERS IN BIOLOGY AND MEDICINE,2017,87:8-21
    [17]李盘林,赵铭伟,徐喜荣,李丽双,李伯章.德杰尼斯五后问题泛化研究[J],大连理工大学学报,2017,57(3):327-330
    [18]蒋振超,李丽双,黄德根.基于词语关系的词向量模型[J],中文信息学报,2017,31(3):25-31
    [19]李丽华,李丽双,林鸿飞,宋和平.离散数学课程的微课教学模式研讨[J],大学数学,2017,33(2):67-70
    [20]李丽双,蒋振超,万佳,黄德根.利用词表示和深层神经网络抽取蛋白质关系[J],中文信息学报,2017,31(1):31-40


    [21]Wang, Yan,Wang, Jian,Lin, Hongfei,Zhang, Shaowu,Li, Lishuang.Biomedical Event Trigger Detection Based on Bidirectional LSTM and CRF[A],2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2017,2017-January:445-450
    [22]李丽双.Recognition of Chemical Entity Mention in Patents Using Feature-rich CRF[A],2017,69-72
    [23]李丽双,黄德根.Biomedical Domain-oriented Word Embeddings via Small Background Texts for Biomedical Text Mining Tasks[A],The 6th Conference on Natural Language Processing and Chinese Computing (NLPCC),2017
    [24]李丽双,王健.Biomedical Event Extraction via Attention-Based Bidirectional Gated Recurrent Unit Networks Utilizing Distributed Representation[A],The International Symposium on Bioinformatics Research and Applications (ISBRA),2017
    [25]何馨宇,李丽双.基于双向LSTM和两阶段方法的触发词识别[J],中文信息学报,2017,31(6):147-154
    [26]Li, Lishuang,Jiang, Yuxin.Biomedical Named Entity Recognition Based on the Two Channels and Sentence-level Reading Control Conditioned LSTM-CRF[A],2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2017,2017-January:380-385
    [27]Li, Lishuang,Liu, Yang.Exploiting Argument Information to Improve Biomedical Event Trigger Identification via Recurrent Neural Networks and Supervised Attention Mechanisms[A],2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2017,565-568
    [28]Li, Lishuang,Zheng, Jieqiong,Wan, Jia.Dynamic extended tree conditioned LSTM-based biomedical event extraction[J],INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2017,17(3):266-278
    [29]Li, Lishuang,Zheng, Jieqiong,Wan, Jia,Huang, Degen,Lin, Xiaohui.Biomedical Event Extraction via Long Short Term Memory Networks along Dynamic Extended Tree[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),2016,739-742
    [30]Li, Lishuang,Jiang, Zhenchao,Liu, Yang,Huang, Degen.Word Representation on Small Background Texts[A],5th National Conference on Social Media Processing (SMP),2016,669:143-150
    [31]Li, Lishuang,Jin, Liuke,Jiang, Yuxin,Huang, Degen.Recognizing biomedical named entities based on the sentence vector/twin word embeddings conditioned bidirectional LSTM[A],15th China National Conference on Chinese Computational Linguistics, CCL 2016 and 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016,2016,10035 LNAI:165-176
    [32]Li, Lishuang,Qin, Meiyue,Huang, Degen.Biomedical Event Trigger Detection Based on Hybrid Methods Integrating Word Embeddings[A],1st China Conference on Knowledge Graph and Semantic Computing (CCKS),2016,650:67-79
    [33]Li, Lishuang,Liu, Shanshan,Qin, Meiyue,Wang, Yiwen,Huang, Degen.Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2016,13(4):669-677
    [34]Jiang, Zhenchao,Li, Lishuang,Huang, Degen.An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2016,13(4):634-642
    [35]李盘林,赵铭伟,徐喜荣,李丽双,李伯章.德杰尼斯五后问题求解方法[J],大连理工大学学报,2016,56(3):304-308
    [36]李丽双,何红磊,刘珊珊,黄德根.基于词表示方法的生物医学命名实体识别[J],小型微型计算机系统,2016,37(2):302-307
    [37]Song, Ding-Xin,Huang, De-Gen,Li, Li-Shuang,He, Hong-Lei.Biomedical named entity recognition based on feature selection and word representations[J],Journal of Information Hiding and Multimedia Signal Processing,2016,7(4):729-740
    [38]Song D.,Li L.,Jin L.,Huang D..Biomedical named entity recognition based on recurrent neural networks with different extended methods[A],2016,16(1):17-31
    [39]李丽双.基于规则和svm的实体关系抽取[A],2016,54-59
    [40]李丽双.Extracting Biomedical Event Using Feature Selection and Word Representation[A],2016,101-101

    [41]Li, Lishuang,Huang, Degen.A general protein-protein interaction extraction architecture based on word representation and feature selection[J],INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2016,14(3):276-291
    [42]Lin, Xiaohui,Song, Huanhuan,Fan, Meng,Ren, Weijie,Li, Lishuang,Yao, Weihong.The Feature Selection Algorithm Based on Feature Overlapping and Group Overlapping[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),2016,619-624
    [43]李丽双,郭瑞,黄德根,周惠巍.基于迁移学习的蛋白质交互关系抽取[J],中文信息学报,2016,30(2):160-167
    [44]Song, Dingxin,Li, Lishuang,Jin, Liuke,Huang, Degen.Biomedical named entity recognition based on recurrent neural networks with different extended methods[J],INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2016,16(1):17-31
    [45]Li, Lishuang,Jin, Liuke,Huang, Degen.Exploring Recurrent Neural Networks to Detect Named Entities from Biomedical Text[A],14th China National Conference on Computational Linguistics (CCL) / 3rd International Symposium on Natural Language Processing Based on Naturally Annotated Big Data (NLP-NABD),2015,9427:279-290
    [46]Li, Lishuang,Zheng, Jieqiong,Song, Dingxin,Guo, Rui,Huang, Degen.Protein-Protein Interaction Extraction Based on Actively Transfer Learning[A],IEEE International Conference on Bioinformatics and Biomedicine,2015,1717-1717
    [47]Jiang, Zhenchao,Li, Lishuang,Huang, Degen,Jin, Liuke.Training Word Embeddings for Deep Learning in Biomedical Text Mining Tasks[A],IEEE International Conference on Bioinformatics and Biomedicine,2015,625-628
    [48]Li, Lishuang,Jin, Liuke,Jiang, Zhenchao,Song, Dingxin,Huang, Degen.Biomedical Named Entity Recognition Based on Extended Recurrent Neural Networks[A],IEEE International Conference on Bioinformatics and Biomedicine,2015,649-652
    [49]张丽君,李丽双,范国龙.基于双代价参数 SVM 的生物医学文本指代消解研究[J],大连理工大学学报,2015,55(4):405-410
    [50]Li, Lishuang,Huang, Degen.An approach to improve kernel-based Protein-Protein Interaction extraction by learning from large-scale network data[J],METHODS,2015,83:44-50
    [51]Li, Lishuang,Huang, Degen.A distributed meta-learning system for Chinese entity relation extraction[J],NEUROCOMPUTING,2015,149(PB):1135-1142
    [52]李丽双,王意文,黄德根.基于信息熵和词频分布变化的术语抽取研究[J],中文信息学报,2015,29(1):82-87
    [53]李丽双.A CRD-WEL System for Chemical-disease Relations Extraction[A],2015
    [54]李丽双,黄德根.基于词语关系的词向量模型[A],2015
    [55]Wei, Hai,Lin, Xiaohui,Xu, Xirong,Li, Lishuang,Zhang, Weijian,Wang, Xiaomei.A Novel Ensemble Classifier Based on Multiple Diverse Classification Methods[A],11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD),2014,301-305
    [56]Li, Lishuang,Zhang, Panpan,Zheng, Tianfu,Zhang, Hongying,Jiang, Zhenchao,Huang, Degen.Integrating Semantic Information into Multiple Kernels for Protein-Protein Interaction Extraction from Biomedical Literatures[J],PLOS ONE,2014,9(3):e91898
    [57]Li, Lishuang,Jiang, Zhenchao,Huang, Degen.A General Instance Representation Architecture for Protein-Protein Interaction Extraction[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),2014,497-500
    [58]Li, Lishuang,Jin, Liuke,Zheng, Jieqiong,Zhang, Panpan,Huang, Degen.The Protein-Protein Interaction Extraction Based on Full Texts[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),2014,493-496
    [59]李丽双,黄德根.A General Instance Representation Architecture for Protein-Protein Interaction[A],2014 IEEE International Conference on Bioinformatics and Biomedicine,2014,497-500
    [60]李丽双,林鸿飞,李丽华,宋和平.以自主学习为目标的《离散数学》教学平台设计与实施[J],山东农业大学学报（自然科学版）,2014,z1:114-117

    [61]Li, Lishuang,Guo, Rui,Jiang, Zhenchao,Huang, Degen.Improving Kernel-Based Protein-Protein Interaction Extraction by Unsupervised Word Representation[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),2014,379-384
    [62]Li, Lishuang,Jin, Liuke,Jiang, Zhenchao,Zhang, Jing,Huang, Degen.Coreference Resolution in Biomedical Texts[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),2014,12-14
    [63]Li, Lishuang,Liu, Shanshan,Li, Lihua,Fan, Wenting,Huang, Degen,Zhou, Huiwei.A Multistage Gene Normalization System Integrating Multiple Effective Methods[J],PLOS ONE,2013,8(12):e81956
    [64]周惠巍,杨欢,黄德根,李瑶,李丽双.基于句法结构约束的模糊限制信息范围检测[J],中文信息学报,2013,27(5):137-143
    [65]Li, Lishuang,Fan, Wenting,Huang, Degen.A Two-Phase Bio-NER System Based on Integrated Classifiers and Multiagent Strategy[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2013,10(4):897-904
    [66]李丽双,党延忠,张婧,李丹.基于条件随机场的汽车领域术语抽取[J],大连理工大学学报,2013,53(2):267-272
    [67]李丽双,刘洋,黄德根.基于组合核的蛋白质交互关系抽取[J],中文信息学报,2013,27(1):86-92,128
    [68]李丽双,黄德根.Improving Feature-Based Biomedical Event Extraction System by Integrating Argument Information[A],Proceedings of the BioNLP Shared Task 2013 Workshop, The Association for Computational Linguistics,2013,109-115
    [69]李丽双,黄德根.A two-phase Bio-NER system based on integrated classifiers and multi-agent strategy[J],IEEE/ACM Transactions on Computational Biology and Bioinformatics,2013,10(4):893-904
    [70]李丽双.Combining Machine Learning with Dictionary Lookup for Chemical Compound and Drug Name Recognition Task[A],Proceedings of the Fourth BioCreative Challenge Evaluation Workshop,2013,171-177
    [71]Li, Lishuang,Huang, Degen,Wang, Min,Jiang, Zhenchao.Integrating Active Learning Strategy to the Ensemble Kernel-based Method for Protein-Protein Interaction Extraction[J],CHINESE JOURNAL OF ELECTRONICS,2013,22(1):41-45
    [72]李丽双,张颖.基于GIS的东北地区气象要素空间插值方法[J],安徽农业科学,2012,40(9):5541-5543
    [73]Li, Lishuang,Fan, Wenting,Huang, Degen,Dang, Yanzhong,Sun, Jing.Boosting performance of gene mention tagging system by hybrid methods[J],JOURNAL OF BIOMEDICAL INFORMATICS,2012,45(1):156-164
    [74]李丽双,党延忠,张婧,王敏.基于组合核的中文实体关系抽取研究[J],情报学报,2012,31(7):702-708
    [75]李丽双,党延忠,廖文平,黄德根,张颖.CRF与规则相结合的中文地名识别[J],大连理工大学学报,2012,52(2):285-289
    [76]Li L.,Wang P.,Huang D.,Zhao L..Mining english-Chinese named entity pairs from comparable corpora[J],ACM Transactions on Asian Language Information Processing,2011,10(4)
    [77]Li L.,Huang D.,Wang M..Protein-protein Interaction extraction based on ensemble kernel model and active learning strategy[A],7th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2011,2011,9-14
    [78]Li L.,Shen Y.,Li K.,Lin K..TPSH: A novel spectrum handoff approach based on time estimation in dynamic spectrum networks[A],14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011, the 11th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2011, and the 10th IEEE Int. Conf. on Ubiquitous Computing and Communications, IUCC 2011,2011,345-350
    [79]Li, Lishuang,Huang, Degen,Sun, Jing.Combining Multi-models for Gene Mention Tagging[J],INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL,2011,14(6):1969-1981
    [80]李丽双,黄德根.Recognizing Chinese person names based on hybrid models[J],International Journal of Advanced Intelligence,2011,3(3):219-228

专利
当前位置: 中文主页 >> 科学研究 >> 专利

    基于生物医学文献的蛋白质交互关系数据库构建方法
    一种基于深度学习的生物医学命名实体识别和蛋白质交互关系抽取在线系统
    一种基于深度学习的生物医学命名实体识别和蛋白质交互关系抽取在线方法

科研项目
当前位置: 中文主页 >> 科学研究 >> 科研项目

    融合语义控制实体识别和结构化要素识别的生物医学事件抽取, 国家自然科学基金, 2016/08/17, 进行
    非局部数值计算软件系统, 2013/03/08-2015/03/08, 进行
    融合指代消解和迁移学习的蛋白质交互关系抽取的研究, 国家自然科学基金, 2011/09/25, 完成
    精准医学大数据的有效挖掘与关键信息技术研发, 国家重点研发计划, 2018/10/24, 进行

其他奖励
当前位置: 中文主页 >> 获奖信息 >> 其他奖励

    大连理工大学教学质量优良奖 （2019年）
    大连理工大学教学质量优良奖 （2018年）
    大连理工大学教学质量优良奖 （2016年）
    大连理工大学教学质量优良奖 （2015年）
    大连理工大学教学质量优秀奖 （2014年）
    大连理工大学教学质量优良奖 （2013年）
    大连理工大学教学质量优良奖 （2011年）
    大连理工大学教学质量优良奖 （2010年）
    大连理工大学教学质量优良奖 （2009年）
    大连理工大学优秀硕士学位论文指导教师 （2009年）
    电信学院优秀女教师 （2008年）
    大连市IT优秀教师奖 （2008年）
    大连理工大学教学质量优良奖 （2008年）