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[1]Zhou, Huiwei,Liu, Zhe,Lang, Chengkun,Liu, Zhuang,Lei, Bizun,Ning, Shixian.Knowledge-enhanced biomedical named entity recognition and normalization: application to protei...[J],BMC BIOINFORMATICS,2020,21(1):35
[2]Zhou, Huiwei,Yang, Yunlong,Ning, Shixian,Liu, Zhuang,Lang, Chengkun,Lin, Yingyu,Huang, Degen.Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2019,16(6):1879-1889
[3]Zhou, Huiwei,Li, Xuefei,Yao, Weihong,Liu, Zhuang,Ning, Shixian,Lang, Chengkun,Du, Lei.Improving neural protein-protein interaction extraction with knowledge selection[J],COMPUTATIONAL BIOLOGY AND CHEMISTRY,2019,83:107146
[4]韩敏,孙国庆,郑丹晨,周惠巍.一种基于时变Petri网的服务组合质量检验方法[J],软件学报,2019,30(8):2453-2469
[5]周惠巍,宁时贤,杨云龙,刘壮,林英玉,李思嘉.基于共享表示的跨领域中文模糊限制语识别[J],郑州大学学报（理学版）,2018,51(2):34-39
[6]Huiwei Zhou,Long Chen,Fulin Shi,Degen Huang.Learning bilingual sentimentword embeddings for cross-language sentiment classification,ACL2015，自然语言处理TOP1（A类）国际会议,2015
[7]Zhou, Huiwei,Lang, Chengkun,Liu, Zhuang,Ning, Shixian,Lin, Yingyu,Du, Lei.Knowledge-guided convolutional networks for chemical-disease relation extraction[J],BMC BIOINFORMATICS,2019,20(1):260
[8]Zhou Huiwei,Du Lei,Liu Zhuang,Ning Shixian,Lang Chengkun,Lin Yingyu.Knowledge-aware Attention Network for Protein-Protein Interaction Extraction[J],Journal of biomedical informatics,2019,103234
[9]Zhou, Huiwei,Ning, Shixian,Yang, Yunlong,Liu, Zhuang,Lang, Chengkun,Lin, Yingyu.Chemical-induced disease relation extraction with dependency information and prior knowledge[J],JOURNAL OF BIOMEDICAL INFORMATICS,2018,84:171-178
[10]Zhou, Huiwei,Liu, Zhuang,Ning, Shixian,Yang, Yunlong,Lang, Chengkun,Lin, Yingyu,Ma, Kun.Leveraging prior knowledge for protein-protein interaction extraction with memory network[J],DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,2018,2018
[11]Zhou Huiwei,Yang Yunlong,Ning Shixian,Liu Zhuang,Lang Chengkun,Ling Yingyu,Huang Degen.Combining Context and Knowledge Representations for Chemical-disease Relation Extraction[J],IEEE/ACM transactions on computational biology and bioinformatics,2018,2018
[12]Zhou, Huiwei,Deng, Huijie,Chen, Long,Yang, Yunlong,Jia, Chen,Huang, Degen.Exploiting syntactic and semantics information for chemical-disease relation extraction[J],DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,2016,2016
[13]Zhou, Huiwei,Deng, Huijie,Huang, Degen,Zhu, Minling.Hedge Scope Detection in Biomedical Texts: An Effective Dependency-Based Method[J],PLOS ONE,2015,10(7):e0133715
[14]周惠巍,宁时贤,刘喆,刘壮,郎成堃.Shared Representation Learning with Self-Attention for Cross-domain Chinese Hedge Cue Recognition[A],2018 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP),2018
[15]周惠巍,宁时贤,杨云龙,刘壮,林英玉.基于共享表示的跨领域中文模糊限制语识别[J],郑州大学学报（理学版）,2018
[16]Zhou, Huiwei,Yang, Yunlong,Liu, Zhuang,Lin, Yingyu,Zhu, Pengfei,Huang, Degen.Jointly learning bilingual sentiment and semantic representations for cross-language sentiment cl...[A],2017,10390 LNCS:149-160
[17]Zhou, Huiwei,Jia, Chen,Yang, Yunlong,Ning, Shixian,Lin, Yingyu,Huang, Degen.Combining large-scale unlabeled corpus and lexicon for Chinese polysemous word similarity computa...[A],2017,10390 LNCS:198-210
[18]周惠巍,杨欢,徐俊利,张静,亢世勇.中文模糊限制信息范围语料库的研究与构建[J],中文信息学报,2017,31(3):77-85
[19]Zhou, Huiwei,Ning, Shixian,Yang, Yunlong,Liu, Zhuang,Xu, Junli.Chinese Hedge Scope Detection Based on Phrase Semantic Representation[A],2017,285-288
[20]周惠巍.Chinese Hedge Scope Detection Based on Phrase Semantic Representation, 21st International Confere...[A],2017
[21]周惠巍.Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network[A],2017
[22]Zhou, Huiwei,Yang, Yunlong,Liu, Zhuang,Liu, Zhe,Men, Yahui.Integrating Word Sequences and Dependency Structures for Chemical-Disease Relation Extraction[A],2017,10565:97-109
[23]Zhou, Huiwei,Xu, Junli,Yang, Yunlong,Deng, Huijie,Chen, Long,Huang, Degen.Chinese hedge scope detection based on structure and semantic information[A],2016,10035 LNAI:204-215
[24]陈希有,周惠巍,李冠林.无穷耦合电感电路等效电感的多种解法[J],电气电子教学学报,2016,38(3):77-80,103
[25]陈希有,李冠林,周惠巍.运用能量概念的“电路”课程教学方法[J],电气电子教学学报,2016,38(2):91-95
[26]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
[27]Zhou, Huiwei,Yang, Huan,Chen, Long,Liu, Zhenwei,Ma, Jianjun,Huang, Degen.Combining Feature-Based and Instance-Based Transfer Learning Approaches for Cross-Domain Hedge ...[A],2015,568:225-232
[28]周惠巍,杨欢,张静,亢世勇,黄德根.中文模糊限制语语料库的研究与构建[J],中文信息学报,2015,29(6):83-89
[29]Zhou H.,Deng H.,Yang H.,Huang D.,Li Y..Co-training for detecting hedges and their scope in biomedical texts[J],Journal of Computational Information Systems,2015,11(20):7387-7395
[30]Zhou H.,Chen L.,Shi F.,Huang D..Learning bilingual sentimentword embeddings for cross-language sentiment classification[A],2015,1:430-440
[31]周惠巍.Chemical-disease Relations Extraction Based on The Shortest Dependency Path Tree[A],2015,214-219
[32]周惠巍,黄德根.Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification(A类会议)[A],2015,430-440
[33]Zhou H.,Chen L.,Huang D..Cross-lingual sentiment classification based on denoising autoencoder[A],2014,496:181-192
[34]陈希有,李冠林,周惠巍.关于“电路理论”课程的若干教学实践[J],电气电子教学学报,2014,36(2):1-4
[35]周惠巍,陈希有,董维杰.基于电气故障探究的电路理论教学法探究[J],中国电力教育,2013,33:108-109
[36]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
[37]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
[38]周惠巍,黄德根.Semi - supervised Learning with Transfer Learning[A],2013,109-119
[39]周惠巍,黄德根,高洁,杨元生.最大生成树算法和决策式算法相结合的中文依存关系解析[J],中文信息学报,2012,26(3):16-21
[40]周惠巍,黄德根.Applying Co-training Method to Detecting Hedge Cues in Biomedical Text[A],2012,438-450
[41]Zhou H.,Li X.,Huang D.,Yang Y.,Ma J..Detecting hedges scope based on phrase structures and dependency structures[A],2011,415-420
[42]Zhou, Huiwei,Li, Xiaoyan,Huang, Degen,Yang, Yuansheng,Ren, Fuji.Voting-Based Ensemble Classifiers to Detect Hedges and Their Scopes in Biomedical Texts[J],IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2011,E94D(10):1989-1997
[43]Zhou, Huiwei,Huang, Degen,Li, Xiaoyan,Yang, Yuansheng,Ren, Fuji.A Staged and Distributed Strategy for Bio-Entity Recognition[J],INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL,2011,14(10):3527-3536
[44]周惠巍,黄德根,高洁,杨元生.最大生成树算法和Nivre算法相结合的中文依存关系解析[A],2011,118-123
[45]Zhou Huiwei,Huang Degen,Li Xiaoyan,Yang Yuansheng.Combining Structured and Flat Features by a Composite Kernel to Detect Hedges Scope in Biologic...[J],CHINESE JOURNAL OF ELECTRONICS,2011,20(3):476-482
[46]周惠巍,黄德根,杨元生.Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution[A],2011,66-70
[47]周惠巍,钱志强,杨元生,黄德根.短语结构到依存结构树库转换研究[J],大连理工大学学报,2010,50(4):609-613
[48]黄德根,焦世斗,周惠巍.基于子词的双层CRFs中文分词[J],计算机研究与发展,2010,47(5):962-968
[49]周惠巍.类似文章检索辅助类似电路理论知识学习的研究[A],2010
[50]周惠巍,黄德根.Japanese Dependency Analysis by Combining Graph-based Model with Transition-based Model[J],ICIC Express Letters,2010,5(1):101-106
[51]周惠巍,黄德根.Combing Data-driven Dependency Parser by Reparsing[A],2010
[52]周惠巍,黄德根,杨元生.Exploiting Multi-Features to Detect Hedges and Their Scope in Biomedical Texts[A],2010,106-113
[53]李大奎,周惠巍,朱鸣华,马洪连,吕蕾蕾."计算机硬件技术基础"课程体系的改革与实践[J],计算机教育,2009,20:81-83
[54]周惠巍,黄德根.Japanese Dependecy Analysis using Fuzzy Support Vector Machines[A],2009,64-70
[55]周惠巍,黄德根.基于CRFs的汉语功能块分析[A],2009,39-44
[56]Li, Lishuang,Ding, Zhuoye,Huang, Degen,Zhou, Huiwei.A Hybrid Model Based on CRFs for Chinese Named Entity Recognition[A],2008,127-132
[57]Zhou, Huiwei,Yu, Tong,Huang, Degen,Feng, Qiuxiang.A Dependency Analysis Method for Japanese Sentences with Complex Conjunctive Relations[A],2008,184-187
[58]周惠巍,杨洋,黄德根.基于远距离依存关系的中文依存关系解析[J],计算机工程,2007,33(24):212-214
[59]周惠巍,黄德根,李巍.基于支持向量机的日语并列关系解析[J],大连理工大学学报,2007,47(6):904-908
[60]李丽双,商敏,黄德根,周惠巍.基于Bootstrapping的汉语词义消歧研究[A],2007,191-197
[61]周惠巍,杨亚歌,黄德根.根节点解析和词性标注体系对中文依存关系解析的影响[A],2007,89-95
[62]罗雪兵,黄德根,周惠巍,李丽双.基于组合方法的组块识别[A],2007,83-88
[63]Zhou, Huiwei,Qian, Zhiqiang,Huang, Degen.Lowly lexicalized Chinese dependency analyzer[A],2007,29-34
[64]Zhou Huiwei,Yang Yage,Yu Tong,Huang Degen.Japanese dependency analysis based on improved SVM and KNN[A],2007,140-+
[65]周惠巍,李巍,黄德根.基于NN-LSVM的日语依存关系解析[A],2005,295-301
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