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个人简介

朱靖波,1999年9月博士毕业于东北大学计算机软件与理论专业,同年11月留校受聘于东北大学,现任计算机科学与工程学院教授、博士生导师,自然语言处理研究方向学术带头人。社会学术兼职有:科大讯飞AI大学首批特聘教授、中国中文信息学会常务理事等。2004-2005年曾在香港城市大学访问研究,2006-2007年曾在美国南加州大学开展国家公派访问学者研究。入选国家教育部新世纪优秀人才和辽宁省百人层次人才计划。从92年开始一直从事语言分析和机器翻译基础性研究工作,先后发表100多篇学术论文。主持研制的国际学术界知名机器翻译开源系统NiuTrans,2016年荣获国内自然语言处理领域最高奖-钱伟长中文信息处理科学技术一等奖,已经共享给七十多个国家的2000多家大学和企业研究机构免费研究。主持研制的小牛翻译系统是目前世界上支持语种最多的机器翻译系统(118种语言到中文双向翻译),在国际最顶级机器翻译评测比赛WMT2018的中英翻译人工评价上荣获第一和英中/中英双向翻译自动评价上双获第二。主持研制的小牛翻译云平台入选国家首批人工智能与实体经济深度融合创新项目。小牛翻译已经为包括科大讯飞、联通、腾讯、携程、京东、国家专利局、国家民委等五十多个企事业单位提供了机器翻译技术服务,逐渐成为了国内机器翻译产学研的领头羊。

近期论文

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Tong Xiao, Derek F. Wong and Jingbo Zhu. 2016. A Loss-Augmented Approach to Training Syntactic Machine Translation Systems. IEEE Transactions on Audio, Speech and Language Processing, 24(11):2069-2083 Jingbo Zhu, Qiang Li and Tong Xiao. 2015. Improving Syntactic Rule Extraction through Deleting Spurious Links with Translation Span Alignment. Natural Language Engineering, 21(2):227-249 Muhua Zhu, Jingbo Zhu and Huizhen Wang. 2015. Improving Shift-Reduce Constituency Parsing with Large-Scale Unlabeled Data. Natural Language Engineering. 21(01):113-138 Muhua Zhu, Jingbo Zhu and Huizhen Wang. 2013. A Feature-Based Approach to Better Automatic Treebank Conversion. Language Resources and Evaluation, 47(4):1213-1231 Tong Xiao, Jingbo Zhu. 2013. Unsupervised Sub-tree Alignment for Tree-to-tree Translation. Journal of Artificial Intelligence Research (JAIR), 48(2013):733-782 Tong Xiao, Jingbo Zhu and Tongran Liu. 2013. Bagging and Boosting Statistical Machine Translation Systems. Artificial Intelligence, 195(2013):496-527 Jingbo Zhu, Chunliang Zhang, Matthew Ma. 2012. Multi-Aspect Rating Inference with Aspect-based Segmentation. IEEE Transactions on Affective Computing (TAC), 3(4):469-481 Jingbo Zhu, Matthew Ma. 2012. Uncertainty-based Active Learning with Instability Estimation for Text Classification. ACM Transactions on Speech and Language Processing (TSLP), 8(4), article 5:1-21 Jingbo Zhu, Huizhen Wang, Muhua Zhu, Benjamin K. Tsou, Matthew Ma. 2011. Aspect-based Opinion Polling from Customer Reviews. IEEE Transactions on Affective Computing (TAC), 2(1):37-49 Muhua Zhu, Jingbo Zhu, and Tong Xiao. 2011. Automatic Treebank Conversion via Informed Decoding - A Case Study on Chinese Treebanks. ACM Transactions on Asian Language Information Processing (TALIP), 10(3), article 12 Tong Xiao, Jingbo Zhu, and Muhua Zhu. 2011. Language Modeling for Syntax-based Machine Translation Using Tree Substitution Grammars: A Case Study on Chinese-English Translation. ACM Transactions on Asian Language Information Processing (TALIP), 10(4), article 18 Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthew Ma. 2010. Active Learning with Sampling by Uncertaintyand Density for Data Annotations. IEEE Transactions on Audio, Speech and Language Processing (TASL), 18(6):1323-1331 Jingbo Zhu, Huizhen Wang, Eduard Hovy, Matthew Ma. 2010. Confidence-based Stopping Criteria for Active Learning for Data Annotation. ACM Transactions on Speech and Language Processing (TSLP), 6(3) article 3 Jingbo Zhu , Matthew Y. Ma, Jinhong K. Guo, Zhenxing Wang. 2007. Content Classification and Recommendation Techniques for viewing Electrinic Programming Guide on Portable Device. International Journal of Pattern Recognition and Artificial Intelligence, 21(2):375-395 Le Zhang, Jingbo Zhu and Tianshun Yao. 2004. An Evaluation of Statistical Spam Filtering Techinques . ACM Transactions on Asian Language Information Processing (TALIP), 3(4):243-269. Selected Conference Papers: Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li. 2020. Learning Architectures from an Extended Search Space for Language Modeling. In Proceedings of ACL2020 Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li. 2020. Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. In Proceedings of ACL2020 Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu. 2019. Neural Machine Translation with Joint Representation. In Proceedings of AAAI2020 Nuo Xu, Yinqiao Li, Chen Xu, Yanyang Li, Bei Li, Tong Xiao and Jingbo Zhu. 2019. Analysis of Back-translation Methods for Low-Resource Neural Machine Translation. In Proceedings of NLPCC2019 Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang and Jingbo Zhu. 2019. Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition. In Proceedings of EMNLP2019 Ziyang Wang, Hui Liu, Hexuan Chen, Kai Feng, Zeyang Wang, Bei Li, Chen Xu, Tong Xiao and Jingbo Zhu. 2019. NiuTrans Submission for CCMT19 Quality Estimation Task. In Proceedings of CCMT2019 Yuhao Zhang, Nuo Xu, Yinqiao Li, Tong Xiao and Jingbo Zhu. 2019. Research on inference acceleration method of Neural Machine Translation system based on coarse2fine. In Proceedings of CCMT2019 Bei Li, Yinqiao Li, Chen Xu, Ye Lin, Jiqiang Liu, Hui Liu, Ziyang Wang, Yuhao Zhang, Nuo Xu, Zeyang Wang, Kai Feng, Hexuan Chen, Tengbo Liu, Yanyang Li, Qiang Wang, Tong Xiao and Jingbo Zhu. 2019. The NiuTrans Machine Translation Systems for WMT19. In Proceedings of WMT2019 Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu and Tongran Liu. 2019. Sharing Attention Weights for Fast Transformer. In Proceedings of IJCAI2019 Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao. 2019. Learning Deep Transformer Models for Machine Translation. In Proceedings of ACL2019 Yufan Jiang, Bei Li, Ye Lin, Yinqiao Li, Tong Xiao and Jingbo Zhu. 2018. Learning Neuron Connections for Language Models. In Proceedings of CWMT2018 Qiang Wang, Bei Li, Jiqiang Liu, Bojian Jiang, Zheyang Zhang, Yinqiao Li, Ye Lin, Tong Xiao and Jingbo Zhu. 2018. Towards Building a Strong Transformer Neural Machine Translation System. In Proceedings of CWMT2018 Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li and Jingbo Zhu. 2018. Multi-layer Representation Fusion for Neural Machine Translation. In Proceedings of Coling2018 Yanyang Li, Tong Xiao, Yinqiao Li, Qiang Wang, Changming Xu and Jingbo Zhu. 2018. A Simple and Effective Approach to Coverage-Aware Neural Machine Translation. In Proceedings of ACL2018 Tong Xiao, Jingbo Zhu, Tongran Liu and Chunliang Zhang. 2017. Fast Parallel Training of Neural Language Models. In Proceedings of IJCAI2017 Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu. 2017. Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. In Proceedings of EMNLP2017 Tong Xiao, Jingbo Zhu and Tongran Liu. 2016. Syntactic Skeleton-Based Translation. In Proceedings of AAAI2016 Jingbo Zhu, Muhua Zhu, Qiang Wang and Tong Xiao. 2015. NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit. In Proceedings of ACL2015 Tong Xiao, Adrià de Gispert, Jingbo Zhu and Bill Byrne . 2014. Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation , In Proceedings of Coling2014, Ji Ma, Zhang Yue, Jingbo Zhu . 2014. Tagging The Web: Building A Robust Web Tagger with Neural Network , In Proceedings of ACL2014, Tong Xiao, Jingbo Zhu, Chunliang Zhang. 2014. A Hybrid Approach to Skeleton-based Translation, In Proceedings of ACL2014, short paper Ji Ma, Yue Zhang and Jingbo Zhu. 2014. Punctuation Processing for Projective Dependency Parsing, In Proceedings of ACL2014, short paper Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang and Jingbo Zhu. 2013. Fast and Accurate Shift-Reduce Constituent Parsing. In Proceedings of ACL2013. Ji Ma, Jingbo Zhu,Tong Xiao and Nan Yang. 2013. Easy-First POS Tagging and Dependency Parsing with Beam Search. In Proceedings of ACL2013, short paper Muhua Zhu, Jingbo Zhu, Huizhen Wang. 2012. Exploiting Lexical Dependencies from Large-Scale Data for Better Shift-Reduce Constituency Parsing. In Proceedings of Coling2012 Ji Ma, Tong Xiao, Jingbo Zhu, Feiliang Ren. 2012. Easy-First Chinese POS Tagging and Dependency Parsing. In Proceedings of Coling2012 Jingbo Zhu, Tong Xiao, Chunliang Zhang. 2012. Learning Better Rule Extraction with Translation Span Alignment. In Proceedings of ACL2012, short paper Tong Xiao, Jingbo Zhu, Hao Zhang and Qiang Li. 2012. NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation. In Proceedings of ACL2012, demonstration session. Jingbo Zhu, Tong Xiao. 2011. Improving Decoding Generalization for Tree-to-String Translation, In Proceedings of ACL2011, Short paper Muhua Zhu, Jingbo Zhu, Minghan Hu. 2011. Better Automatic Treebank Conversion Using A Feature-Based Approach, In Proceedings of ACL2011, Short paper Tong Xiao, Jingbo Zhu, Muhua Zhu, Huizhen Wang. 2010. Boosting-based System Combination for Machine Translation. In Proceedings of ACL2010 Muhua Zhu, Jingbo Zhu, Tong Xiao. 2010. Heterogeneous Parsing via Collaborative Decoding. In Proceedings of Coling2010 Muhua Zhu, Jingbo Zhu. 2010. Treebank Conversion via Informed Decoding. In Proceedings of Coling2010, Poster Tong Xiao, Jingbo Zhu, Hao Zhang and Muhua Zhu. 2010. An Empirical Study of Translation Rule Extraction with Multiple Parsers. In Proceedings of Coling2010, Poster Jingbo Zhu, Huizhen Wang, Benjamin Tsou and Muhua Zhu. 2009. Multi-aspect opinion polling from textual reviews, In Proceedings of CIKM'09, short session, pp1799-1802 Muhua Zhu, Jingbo Zhu. 2009. Label Correspondence Learning for Part-of-Speech Annotation Transformation. In Proceedings of CIKM'09, short session, pp1461-1464 Tong Xiao, Mu Li, Jingbo Zhu, Dongdong Zhang and Ming Zhou. 2009. Better Synchronous Binarization for Machine Translation. In Proceedings of EMNLP09, Singapore Jingbo Zhu, Huizhen Wang and Eduard Hovy, 2008. Multi-Criteria-based Strategy to Stop Active Learning for Data Annotation. In Proc. of Coling08, pp1129-1136 Jingbo Zhu, Huizhen Wang and Benjamin Tsou, 2008. Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification. In Proc. of Coling08, pp1137-1144 Jingbo Zhu , Huizhen Wang, Eduard Hovy. Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification . The Third International Joint Conference on Natural Language Processing (IJCNLP-08). Hyderabad , India . 2008. Jingbo Zhu , Eduard Hovy, Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem, in Proc. of EMNLP-CoNLL 2007.06. pp783-790 Jingbo Zhu , Na Ye, Xinzhi Chang, Wenliang Chen , Benjamin K Tsou , Using Multiple Discriminant Analysis Approach for Linear Text Segmentation, In Proceedings of the Second International Joint Conference on Natural Language Processing (IJCNLP05), LNCS, Oct. 2005. Jingbo Zhu , Wenliang Chen . Improving Text Categorization Using Domain Knowledge , A. Montoyo et al. (Eds.): International Conference on Applications of Natural Language to Information Systems( NLDB 2005), LNCS, Springer- Verlag , pp.103–113, 2005. Yongmei Tan , Tianshun Yao , Qing Chen and Jingbo Zhu . Applying Conditional Random Fields to Chinese Shallow Parsing. The Sixth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2005 ) . LNCS, Vol.3406, Springer, pp.167-176, Mexico City , Mexico , Feb. 2005 Wenliang Chen , Jingbo Zhu , Honglin Wu , Tianshun Yao . Automatic Learning Features Using Bootstrapping for Text Categorization . Fourth International Conference on Intelligent Text Processing and Computational Linguistics ( CICLing 2004), LNCS, Seoul , South Korea. Na Ye, Xuejun Wu , Jingbo Zhu , Wenliang Chen , Tianshun Yao . Web Information Extraction Based on Similar Patterns . The Fifth International Conference on Web-Age Information Management( WAIM 2004), LNCS, Dalian , China. Wenliang Chen , Xingzhi Chang, Huizhen Wang , Jingbo Zhu , and Tianshun Yao . Automatic Word Clustering for Text Categorization Using Global Information . First Asia Information Retrieval Symposium (AIRS 2004), LNCS, Beijing , pp.1-6, 2004.10. Yongmei Tan , Tianshun Yao, Qing Chen , Jingbo Zhu . Chinese Chunk Identification Using SVMs plus Sigmoid . The First International Joint Conference on Natural Language Processing (IJCNLP-04), LNCS, March 22-24, 2004 Sanya City , Hainan Island , China. Projects Key issues of string-to-tree statistical machine translation models, National Natural Science Foundation of China (NSFC), 2011-2013, PI: Prof. Zhu Jingbo Study on key technologies of Chinese text opinion analysis and mining, National Natural Science Foundation of China (NSFC), 2009-2011, PI: Prof. Zhu Jingbo Study on content-based Web text topic analysis, National 863 high-tech project, 2006-2008, PI: Prof. Zhu Jingbo Semantics-based text topic analysis, National 863 High-Tech Program of China, 2006-2008, PI: Prof. Zhu Jingbo Program for New Century Excellent Talents in University(NCET) of Year 2005, 3 year:2006-2008, Project Leader: Dr. Zhu Jingbo Studies on key technologies of Topic Detection and Tracking, National Natural Science Foundation of China (NSFC) , 3 years:2005.1-2007.12, Project Leader: Dr. Zhu Jingbo Using Domain Knowledge to Topic Identification and Text Topic Structure Analysis, National Natural Science Foundation of China (NSFC) and Microsoft Asia Research , 3 years:2003.1-2005.12, Project Leader: Dr. Zhu Jingbo ontent-based network information filtering techniques, the Key Project of Chinese Ministry of Education , 2 years: 2004.1-2005.12, Project Leader: Dr. Zhu Jingbo Illegal Information Identification and Information Security , (cooperating with Institute of Computing Technology Chinese Academy of Sciences), National 863 High-Tech Program of China , 6 months: 2002.9-2003.2, Project Leader: Dr. Zhu Jingbo Topic Identification and Information Filtering, National 863 High- Tech Program of China , 8 months: 2000.7-2001.3, Project Leader: Dr. Zhu Jingbo

学术兼职

社会学术兼职有:科大讯飞AI大学首批特聘教授、中国中文信息学会常务理事等。

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