Jingbo Zhu Ph.D, Professor (PhD Advisor), Director Natural Language Processing Lab #132 Institute of Computer Software and Theory College of Information Science and Engineering Northeastern University ShenYang, P.R.China, 110004 Email: zhujingbo(at)mail.neu.edu.cn Tel & Fax: 0086-24-83672481 My Google Scholar Citations

Research

Research Interests:

• Statistical machine translation, syntactic parsing, sentiment analysis, text classification, and some interests on active learning and ranking models.

Personal

• Ph.D.(1999),Lecturer(1999.11-2001.05),Associate Professor(2001.06-2006.01), Professor(2006.01-), PhD Advisor(2009.04-) working in institute of computer software, college of information science and engineering, Northeastern University since 1999.
  

Publications

Book:

• Jingbo Zhu, M. Y. Ma, J. K. Guo and Zhenxing Wang. 2008. Content classification and recommendation techniques for viewing electronic programming guide on a portable device. As Chapter 9 of a book: Personalization Techniques and Recommender Systems, Edited by G. Uchyigit and M. Y. Ma. Series in Machine Perception Artificial Intelligence - Vol. 70, World Scientific Publishing Co. Pte. Ltd. Pp 223-248
  

• Yao Tianshun, Zhu Jingbo , Zhang Li, Yang Ying, Natural Language Processing , Second Edition, Tsinghua press, Nov. 2002
  

Selected Journal Papers:

• Quan Du, Nuo Xu, Yinqiao Li, Tong Xiao and Jingbo Zhu. 2021. Topology-Sensitive Neural Architecture Search for Language Modeling. IEEE Access, 9: 107416-107423 (2021)
  


• 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:

• Zihao Liu, Yan Zhang, Huizhen Wang and Jingbo Zhu. 2021. Entity-Aware Relation Representation Learning for Open Relation Extraction. In Proceedings of NLPCC2021
  

• Bei Li, ZiyangWang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang and Jingbo Zhu. 2021. Learning Light-Weight Translation Models from Deep Transformer. In Proceedings of AAAI2021
  

• Yanyang Li, Ye Lin, Tong Xiao and Jingbo Zhu. 2021. An Efficient Transformer Decoder with Compressed Sub-layers. In Proceedings of AAAI2021
  

• Ye Lin, Yanyang Li, Ziyang Wang, Bei Li, Quan Du, Tong Xiao and Jingbo Zhu. 2021. Weight Distillation: Transferring the Knowledge in Neural Network Parameters. In Proceedings of ACL2021
  

• Chen Xu, Bojie Hu, Yanyang Li, Yuhao Zhang, Shen Huang, Qi Ju, Tong Xiao and Jingbo Zhu. 2021. Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders. In Proceedings of ACL2021
  

• Ye Lin, Yanyang Li, Tong Xiao and Jingbo Zhu. 2021. Bag of Tricks for Optimizing Transformer Efficiency. In Proceedings of EMNLP (Findings) 2021
  

• Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu and Changliang Li. 2021. RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. In Proceedings of EMNLP2021
  

• Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao and Jingbo Zhu. 2021. The NiuTrans Machine Translation Systems for WMT21. In Proceedings of WMT2021
  

• Chen Xu, Xiaoqian Liu, Xiaowen Liu, Tiger Wang, Canan Huang, Tong Xiao and Jingbo Zhu. 2021. The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task. In Proceedings of ACL2021
  

• Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Minyi Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao and Jingbo Zhu. 2021. The NiuTrans System for the WMT21 Efficiency Task. In Proceedings of ACL2021
  

• Yingfeng Luo, Changliang Li, Canan Huang, Chen Xu, Xin Zeng, Binghao Wei, Tong Xiao and Jingbo Zhu. 2021. Chinese Poetry Generation with Metrical Constraints. In Proceedings of NLPCC2021
  

• Yichao Wang, Muhua Zhu, Chen Xu, Yan Zhang, Huizhen Wang and Jingbo Zhu. 2021. Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering. In Proceedings of NLPCC2021
  

• Chi Hu, Bei Li, Yinqiao Li, Ye Lin, Yanyang Li, Chenglong Wang, Tong Xiao and Jingbo Zhu. 2020. The NiuTrans System for WNGT 2020 Efficiency Task. In Proceedings of ACL2020
  

• Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, shen huang, Qi Ju, Tong Xiao and Jingbo Zhu. 2020. Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. In Proceedings of COLING2020
  

• Qiang Wang, Yue Zhang, Tong Xiao and Jingbo Zhu. 2020. Layer-wise Multi-view Learning for Neural Machine Translation. In Proceedings of COLING2020
  

• Yanyang Li, Yingfeng Luo, Ye Lin, Quan Du, Huizhen Wang, Tong Xiao and Jingbo Zhu. 2020. A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction. In Proceedings of COLING2020
  

• Qiang Wang, Tong Xiao and Jingbo Zhu. 2020. Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation. In Proceedings of EMNLP2020
  

• Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang and Jingbo Zhu. 2020. Shallow-to-Deep Training for Neural Machine Translation. In Proceedings of EMNLP2020
  

• Ye Lin , Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu and Jingbo Zhu. 2020. Towards Fully 8-bit Integer Inference for the Transformer Model. In Proceedings of IJCAI2020
  

• 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, Adri�� 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�C113, 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
  

Teaching Courses

" Introduction of Compiler Theory " for undergraduate students(grade three) of computer science department every year .

" Introduction of Natural Language Processing " for graduate students of computer science department every year .

Society Work

• CNCCL2014 Demo Chair, Wuhan, China, 2014
• ACL2014 Demo Chair, USA, 2014
• Invited Talk at CJNLP2013,Matsue, Japan 2013
• SIGHAN-CIPS2012 PC Chair, Tianjin, China, 2012
• Invited Talk at CJNLP2012,Harbin, China 2011
• Keynote Speech at The 23nd Conference on Computational Linguistics and Speech Processing (ROCLING 2011),Taipei 2011
• Invited Talk at CJNLP2011, Miyazaki Japan 2011
• The Conference of AAAI 2011, Program Committee Member 2011
• The Conference of IJCAI 2011, Program Committee Member 2011
• The 1st CIPS-SIGHAN Joint Conference on Chinese Language Processing, Program Committee Member, Beijing, China, 2010
• The 2010 International Conference on Web Information Processing (ICWIP��2010), Program Committee Member, 2010
• the 24th Pacific Asia Conference on Language, Information, and Computation (PACLIC 24), Program Committee Member, 2010
• the 23rd International Conference on Computer Processing of Oriental Languages(ICCPOL), Program Committee Member, 2010
• The 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC 23), Program Committee Member, Hongkong, 2009
• 2009 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE��09), Program Committee Member, Dalian, China, 2009
• Active learning for NLP workshop of NAACL HLT 2009, Program Committee Member,Colorado, 2009
• 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL��09), Program Committee Member, Hongkong
• 2009International Joint Conference on Natural Language Processing (IJCNLP-08), Program Committee Member , India, 2008
• SIGHAN6 workshop, Program Committee Member , India, 2008
• SIGHAN5 workshop of ACL/Coling 2006, Program Committee Member , Sydney, Australia , 2006
  
• 2th National Conference on Information Retrieval and Content Security, Program Committee Member , Beijing , 2005
  
• 2nd StudentWorkshop on Computational Linguistics(SWCL04), Program Committee Member , Beijing , 2004
  
• NER workshop of the 1st International Joint Conference on Natural Language Processing (IJCNLP-04), Program Committee Member , Sanya, 2004
  
• 1th National Conference on Information Retrieval and Content Security, Program Committee Member , Shanghai , 2004
  
• Invited Talk at the 4th China-Japan natural language processing joint research conference, HongKong City University, 2004
  
• Invited Talk at the 5th Japan-China natural language processing joint research conference, Japan, 2005
  
• 20th International Conference on Computer Processing of Oriental Languages(ICCPOL03), General Secretary of Organization Committee , Shenyang , 2003