[2017]

  • 赵海, 蔡登, 黄昌宁, 揭春雨
    中文分词十年回顾(2007-2017)
    实证及语料库语言学前沿, 揭春雨 刘美君 主编, 中国社会科学出版社, 北京, 2017年7月

  • Hao Wang, Hai Zhao*, Zhisong Zhang
    A Transition-based System for Universal Dependency Parsing,
    CoNLL 2017, Vancouver, Canada, July 2017

  • Deng Cai, Hai Zhao*, Zhisong Zhang, Yuan Xin, Yongjian Wu, Feiyue Huang
    Fast and Accurate Neural Word Segmentation for Chinese,
    ACL 2017, Vancouver, Canada, July 2017

  • Lianhui Qin, Zhisong Zhang, Hai Zhao*, Zhiting Hu, Eric P. Xing
    Adversarial Connective-exploiting Network for Implicit Discourse Relation Classification,
    ACL 2017, Vancouver, Canada, July 2017

  • Deng Cai, Hai Zhao*, Yang Xin, Yuzhu Wang, Zhongye Jia
    A Hybrid Model for Chinese Spelling Check,
    ACM Transactions on Asian Low-Resource Language Information Process, 2017

[2016]

  • Rui Wang, Hai Zhao*, Bao-Liang Lu, Masao Utiyama and Eiichro Sumita,
    Connecting Phrase based Statistical Machine Translation Adaptation,
    COLING-2016, pp.3135-3145, Osaka, Japan, December, 2016
    [PDF]

  • Lianhui Qin, Zhisong Zhang, and Hai Zhao*
    Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings,
    COLING-2016, pp.1914-1924, Osaka, Japan, December, 2016
    [PDF]

  • Lianhui Qin, Zhisong Zhang, and Hai Zhao*
    A stacking gated neural architecture for implicit discourse relation classification.
    Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.2263-2270, Austin, USA, November, 2016
    [PDF]

  • Chenxi Pang, Hai Zhao*, Zhongyi Li,
    I Can Guess What You Mean: A Monolingual Query Enhancement for Machine Translation,
    LNCS Vol.10035, CCL-2016, Yantai, China, Oct 15-16, 2016
    [PDF]

  • Zhongyi Li, Hai Zhao*, Chenxi Pang, Lili Wang, Huan Wang
    A Constituent Syntactic Parse Tree based Discourse Parser,
    CoNLL-2016 Shared Task, pp.60-64, Berlin, Germany, August 7-12, 2016

  • Lianhui Qin, Zhisong Zhang, Hai Zhao*
    Shallow Discourse Parsing using Convolutional Neural Network,
    CoNLL-2016 Shared Task, pp.70-77, Berlin, Germany, August 7-12, 2016

  • Deng Cai, Hai Zhao*
    Neural Word Segmentation Learning for Chinese ,
    ACL-2016, pp.409-420, Berlin, Germany, August 7-12, 2016
    [PDF]

  • Zhisong Zhang, Hai Zhao*, Lianhui Qin
    Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network,
    ACL-2016, pp. 1382-1392, Berlin, Germany, August 7-12, 2016
    [PDF]

  • Rui Wang, Hai Zhao*, Sabine Ploux, Bao-Liang Lu, Masao Utiyama
    A Bilingual Graph-based Semantic Model for Statistical Machine Translation,
    IJCAI-2016, pp.2950-2956, New York, USA, July 9-15, 2016
    [PDF]

  • Peilu Wang, Yao Qian,Hai Zhao*, Frank K. Soong, Lei He, Ke Wu
    Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network,
    NAACL-2016, pp.527-533, San Diego, USA, June 12-15, 2016
    [PDF]

  • Rui Wang, Masao Utiyama, Isao Goto, Eiichiro Sumita, Hai Zhao*, Bao-Liang Lu,
    Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine Translation,
    ACM Transactions on Asian Low-Resource Language Information Process, Vol. 15(3), Article 11, pp.1-26, January, 2016

  • Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Hai Zhao*, Graham Neubig, Satoshi Nakamura,
    Learning local word reorderings for hierarchical phrase-based statistical machine translation,
    Machine Translation, Spinger, 2016

[2015]

  • 葛岩, 赵海, 秦裕林等
    国家、地区媒体形象的数据挖掘
    学术月刊,第47卷第7期,163-170,2015年7月

  • Rui Wang, Masao Utiyama, Isao Goto, Eiichiro Sumita, Hai Zhao*, Bao-Liang Lu,
    Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine Translation,
    ACM Transactions on Asian Low-Resourse Languange Information Process, (to appear)

  • Changge Chen, Hai Zhao*, Yang Yang
    Deceptive Opinion Spam Detection using Deep Level Linguistic Features,
    The 4th CCF Conference on Natural Language Processing & Chinese Computing(NLPCC 2015),
    October 9-13, 2015, Nanchang, China

  • Shuo Zang, Hai Zhao*, Chunyang Wu, Rui Wang,
    A Novel Word Reordering Method for Statistical Machine Translation,
    The 2015 11th International Conference on Natural Computation (ICNC'15) and the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'15),
    August 15-17, 2015, Zhangjiajie, China

  • Changge Chen, Peilu Wang, Hai Zhao*,
    Shallow Discourse Parsing Using Constituent Parsing Tree,
    CoNLL 2015
    July 30, 2015, Beijing, China

  • Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Hai Zhao*,
    LearningWord Reorderings for Hierarchical Phrase-based Statistical Machine Translation,
    ACL-IJCNLP 2015
    July 26-31, 2015, Beijing, China

  • Rui Wang, Hai Zhao*, Bao-Liang Lu, Masao Utiyama and Eiichiro Sumita,
    Bilingual Continuous-Space Language Model Growing for Statistical Machine Translation,
    IEEE/ACM Transactions on Audio, Speech, and Languange Processing, Vol.23(7): 1209-1220, 2015

[2014]

  • Rui Wang, Hai Zhao, Bao-Liang Lu, Masao Utiyama and Eiichro Sumita
    Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation
    EMNLP 2014: 189-195, Doha, Qatar, October, 2014

  • Jingyi Zhang, Masao Utiyama and Eiichro Sumita, Hai Zhao
    Learning Hierarchical Translation Spans
    EMNLP 2014: 183-188, Doha, Qatar, October, 2014

  • Yang Xin, Hai Zhao, Yuzhu Wang and Zhongye Jia
    An Improved Graph Model for Chinese Spell Checking
    SIGHAN-2014, Wuhan, China, October, 2014

  • Xiaolin Wang, Hai Zhao, Bao-Liang Lu
    A Meta-Top-down Method for Large-scale Hierarchical Classification
    IEEE Transactions on Knowledge and Data Engineering, Vol.26(3):500-513,March 2014

  • Xiaolin Wang, Yangyang Chen, Hai Zhao, Bao-Liang Lu
    Parallelized Extreme Learning Machine Ensemble Based on Min-Max Modular Network
    Neurocomputing, Vol.128:31-41, March 2014

  • Jia, Zhongye, Hai Zhao
    A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction
    In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)(ACL 2014), pages 1512--1523, Baltimore, Maryland, June

  • Wang, Peilu and Jia, Zhongye and Hai Zhao
    Grammatical Error Detection and Correction using a Single Maximum Entropy Model
    Proceedings of the Eighteenth Conference on Computational Natural Language Learning (CoNLL-2014), pages 74--82, Baltimore, Maryland, June

[2013]

  • Rui Wang, Masao Utiyama, Isao Goto, Eiichro Sumita, Hai Zhao, and Bao-Liang Lu
    Converting Continuous-Space Language Models into N-gram Language Models for Statistical Machine Translation
    EMNLP-2013: 845-850, Seattle, USA, October, 2013

  • Xiao-Lin Wang, Hai Zhao, and Bao-Liang Lu
    Labeled Alignment for Recognizing Textual Entailment
    IJCNLP-2013: 605-613, Nagoya, Japan, October, 2013

  • Zhongye Jia, Hai Zhao
    Kyss 1.0: a Framework for Automatic Evaluation of Chinese Input Method Engines
    IJCNLP-2013: 1195-1201, Nagoya, Japan, October, 2013

  • Zhongye Jia, Peilu Wang, Hai Zhao
    Graph Model for Chinese Spell Checking
    SIGHAN-7: 88-92, Nagoya, Japan, October, 2013

  • Zhongye Jia, Peilu Wang, Hai Zhao
    Grammatical Error Correction as Multiclass Classification with Single Model
    CoNLL-2013: 74-81, Sofia, Bulgaria, August, 2013

  • Jingyi Zhang, Hai Zhao
    Improving Function Word Alignment with Frequency and Syntactic Information
    IJCAI-2013: 2211-2217, Beijing, China, August, 2013

  • Xiaolin Wang, Hai Zhao, Bao-Liang Lu
    BCMI-NLP Labeled-Alignment-Based Entailment System for NTCIR-10 RITE-2 Task
    NTCIR-10: 474-478, Tokyo, Japan, June, 2013

  • Hai Zhao, Jingyi Zhang, Masao Utiyama and Eiichro Sumita
    An Improved Patent Machine Translation System Using Adaptive Enhancement for NTCIR-10 PatentMT Task
    NTCIR-10: 376-379, Tokyo, Japan, June, 2013

  • Hai Zhao, Xiaotian Zhang, and Chunyu Kit
    Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection
    Journal of Artificial Intelligence Research, Volume 46:203-233, 2013
    [PDF]

  • Hai Zhao, Masao Utiyama, Eiichro Sumita, and Bao-Liang Lu
    An Empirical Study on Word Segmentation for Chinese Machine Translation
    A. Gelbukh (Ed.): CICLing 2013, Part II, LNCS 7817, pp. 248-263, 2013
    [PDF]

[2012]

  • Shaohua Yang, Hai Zhao, Xiaolin Wang and Bao-liang Lu
    Spell Checking for Chinese
    Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12), pages 730-736, Istanbul, Turkey, May, 2012

  • Chunyang Wu and Hai Zhao
    Regression with Phrase Indicators for Estimating MT Quality
    Proceedings of the 7th Workshop on Statistical Machine Translation of NAACL-2012, pages 152-156,Montreal, Quebec, Canada, June 7 - 8, 2012

  • Heming Shou and Hai Zhao
    Hybrid Rule-based Algorithm for Coreference Resolution
    Proceedings of the Joint Conference on EMNLP and CoNLL, pages 118-121, Jeju Island, Korea, July, 2012

  • Xiaotian Zhang, Chunyang Wu and Hai Zhao
    Chinese Coreference Resolution via Ordered Filtering
    Proceedings of the Joint Conference on EMNLP and CoNLL, pages 95-99, Jeju Island, Korea, July, 2012

  • Shaohua Yang, Hai Zhao and Bao-Liang Lu
    A Machine Translation Approach for Chinese Whole-Sentence Pinyin-to-Character Conversion
    PACLIC-26, Bali, Indonesia, November, 2012

  • Xiaotian Zhang, Yao Qian, Hai Zhao, Frank Soong
    Break index labeling of Mandarin text via syntactic-to-prosodic tree mapping
    The 8th International Symposium on Chinese Spoken Language Processing (ISCSLP-2012), Hong Kong, December 5-8, 2012

  • Xiaotian Zhang, Hai Zhao and Cong Hui
    A Machine Learning Approach to Convert CCGbank to Penn Treebank
    the 24th International Conference on Computational Linguistics (COLING 2012), pp.535-542, Mumbai, India, 8-15 December 2012

  • Qiongkai Xu and Hai Zhao
    Using Deep Linguistic Features for Finding Deceptive Opinion Spam
    the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, 8-15 December 2012

  • Xuezhe Ma and Hai Zhao
    Fourth-Order Dependency Parsing
    the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, 8-15 December 2012

[2011]

  • Jian Zhang, Hai Zhao, Liqing Zhang, Bao-Liang Lu
    An Empirical Comparative Study on Two Large-Scale Hierarchical Text Classification Approaches
    International Journal Computer Processing of Oriental Language (IJCPOL) 23(4):309-326 (2011)

  • Xiaolin Wang, Hai Zhao and Bao-Liang Lu
    Enhance Top-down method with Meta-Classification for Very Large-scale Hierarchical Classification
    IJCNLP-2011, Chiang Mai, Thailand, November 9-11, 2011

  • 张晓甜 赵海
    基于树结构模式挖掘的非监督中文短语结构句法分析
    第11届中国计算语言学大会, 洛阳,2011年8月20-22

  • Hai Zhao and Chunyu Kit
    Integrating unsupervised and supervised word segmentation: The role of goodness measures
    Information Sciences, Vol.181(1): 163-183, 2011, Elsevier

[2010]

  • 赵海
    作为人工智能分支的自然语言处理:停滞的技术
    第七届自然语言处理青年学者研讨会,沈阳,2010年9月18-19日
    [PPT] [MP3(29M)]

  • Xuezhe Ma, Xiaotian Zhang, Hai Zhao, Bao-Liang Lu
    Dependency Parser for Chinese Constituent Parsing
    CIPS-SIGHAN-2010, August, 2010, Beijing, China

  • Yan Song, Chunyu Kit and Hai Zhao
    Reranking with Multiple Features for Better Transliteration
    NEWS-2010, pp.62-65, July, 2010, Uppsala, Sweden

  • Cong Hui, Hai Zhao, Yan Song, Bao-Liang Lu
    An Empirical Study on Development Set Selection Strategy for Machine Translation Learning
    WMT-2010, pp.67-71, July, 2010, Uppsala, Sweden

  • Shaodian Zhang, Hai Zhao, Guodong Zhou and Bao-liang Lu
    Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
    CoNLL-2010, pp.92-99, July, 2010, Uppsala, Sweden

  • Jian Zhang, Hai Zhao, and Bao-Liang Lu
    A Comparative Study on Two Large-Scale Hierarchical Text Categorization Tasks' Solutions
    IWWIP-2010, July, 2010, Qingdao, China

  • Hai Zhao, Chunyu Kit
    Integrating unsupervised and supervised word segmentation: The role of goodness measures
    Information Science, 2010

  • Hai Zhao, Chang-Ning Huang, Mu Li, Bao-Liang Lu
    A Unified Character-Based Tagging Framework for Chinese Word Segmentation
    ACM Trans. Asian Lang. Inf. Process. 9(2): 2010

  • Gang Jin, Qi Kong, Jian Zhang, Xiaolin Wang, Cong Hui, Hai Zhao, and Bao-Liang Lu
    Multiple Strategies for NTCIR-08 Patent Mining at BCMI
    NTCIR-8, June, 2010, Tokyo, Japan

  • Minzhang Huang, Hai Zhao, Bao-Liang Lu
    Pruning Training Samples Using a Supervised Clustering Algorithm
    ISNN (2) 2010: 250-257, June, 2010, Shanghai, China

  • Hai Zhao, Yan Song, Chunyu Kit
    How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method.
    LREC 2010, May, 2010, Malta

[2009]

  • 宋彦, 蔡东风, 张桂平, 赵海
    一种基于字词联合解码的中文分词方法
    软件学报, Vol.20, No.9, pp.2366-2375, 2009

  • Hai Zhao, Wenliang Chen, Chunyu Kit
    Semantic Dependency Parsing of NomBank and PropBank: An Efficient Integrated Approach via a Large-scale Feature Selection
    EMNLP 2009: conference on Empirical Methods in Natural Language Processing, pp.30-30, Singapore, August 6-7, 2009

  • Junhui Li, Guodong Zhou, Hai Zhao, Qiaoming Zhu, Peide Qian
    Improving Nominal SRL in Chinese Language with Verbal SRL Information and Automatic Predicate Recognition
    EMNLP 2009: conference on Empirical Methods in Natural Language Processing, pp.1280-1288, Singapore, August 6-7, 2009

  • Hai Zhao, Yan Song, Chunyu Kit, and Guodong Zhou
    Cross Language Dependency Parsing using a Bilingual Lexicon
    Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2009), pp.55-63, Singapore, August 2-5, 2009

  • 赵海,揭春雨,宋彦
    基于字依存树的中文词法-句法一体化分析
    全国第十届计算语言学学术会议(CNCCL-2009), pp.82-88, 烟台, 7月24-26, 2009

  • Hai Zhao, Wenliang Chen, Jun’ichi Kazama, Kiyotaka Uchimoto, and Kentaro Torisawa
    Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
    Thirteenth Conference on Computational Natural Language Learning, (CoNLL-09), pp. 61-66, Boulder, CO, USA, June 4-5, 2009
    [PDF]

  • Hai Zhao, Wenliang Chen, Chunyu Kit, and Guodong Zhou
    Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
    Thirteenth Conference on Computational Natural Language Learning, (CoNLL-09), pp. 55-60, Boulder, CO, USA, June 4-5, 2009
    [PDF]

  • Hai Zhao
    Character-Level Dependencies in Chinese: Usefulness and Learning
    The 12th Conference of the European Chapter of the Association for Computational Linguistics, (EACL-09), pp.879-887, Athens, Greece, March 30 - April 3, 2009
    [PDF]

  • Hai Zhao and Chunyu Kit
    A Simple and Efficient Model Pruning Method for Conditional Random Fields
    The 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL 2009), LNCS, Vol.5459, pp.149-159, Hong Kong, March 26-27, 2009
    [PDF]

[2008]

  • Hai Zhao and Chunyu Kit
    Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models
    Twelfth Conference on Computational Natural Language Learning, (CoNLL-2008), pp.203-207, Manchester, UK, August 16-17, 2008
    [PDF]

  • Hai Zhao and Chunyu Kit
    Scaling Conditional Random Fields by One-Against-the-Other Decomposition
    Journal of Computer Science and Technology, Vol. 23(4): 612-619, July, 2008

  • Hai Zhao and Chunyu Kit
    Exploiting Unlabeled Text with Different Unsupervised Segmentation Criteria for Chinese Word Segmentation
    The 9th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2008), Haifa, Israel, February 17-23, 2008
    Also in Research in Computing Science, Vol. 33: 93-104, 2008
    [PDF][照片]

  • Hai Zhao and Chunyu Kit
    Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition
    The Sixth SIGHAN Workshop on Chinese Language Processing (SIGHAN-6), pp.106-111, Hyderabad, India, January 11-12, 2008
    [PDF]

  • Hai Zhao and Chunyu Kit
    An Empirical Comparison of Goodness Measures for Unsupervised Chinese Word Segmentation with a Unified Framework
    The Third International Joint Conference on Natural Language Processing (IJCNLP-2008), Vol. 1: 9-16, Hyderabad, India, January 8-10, 2008
    [PDF][照片]

[2007]

  • 赵海, 揭春雨
    基于有效子串标注的中文分词
    中文信息学报,Vol. 21(5): 8-13, 2007
    [PDF]

  • Hai Zhao and Chunyu Kit
    Incorporating Global Information into Supervised Learning for Chinese Word Segmentation
    The 10th Conference of the Pacific Association for Computational Linguistics (PACLING-2007),pp.66-74, Melbourne, Australia, September 19-21, 2007
    [PDF][照片]

  • Hai Zhao and Chunyu Kit
    Scaling Conditional Random Field with Application to Chinese Word Segmentation
    The Third International Conference on Natural Computation (ICNC'07), Vol. 5: 95-99, Haikou, China, August 24-27, 2007

  • 赵海, 揭春雨
    基于子串标注的中文分词:寻找更佳的标注单元
    第九届全国计算语言学学术会议, 大连,2007年8月6-8日, 收录到孙茂松、陈群秀编《内容计算的研究与应用前沿》,pp.45-51,清华大学出版社
    [照片]

  • 黄昌宁, 赵海
    中文分词十年回顾 (应邀论文)
    中文信息学报,Vol. 21(3): 8-20,2007

[2006]

  • 黄昌宁, 赵海
    由字构词—中文分词新方法 (应邀论文)
    中国中文信息学会成立二十五周年学术会议,2006年11月21-22日,北京,收录到曹右琦、孙茂松编《中文信息处理前沿进展》,清华大学出版社
    [PPT]

  • Hai Zhao, Chang-Ning Huang, Mu Li, and Bao-Liang Lu
    Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling
    The 20th Pacific Asia Conference on Language, Information and Computation (PACLIC-20), pp.87-94, Wuhan, China, November 1-3, 2006
    [PDF]

  • Chang-Ning Huang and Hai Zhao
    Which Is Essential for Chinese Word Segmentation: Character versus Word (Invited paper)
    The 20th Pacific Asia Conference on Language, Information and Computation (PACLIC-20), pp.1-12, Wuhan, China, November 1-3, 2006

  • Hai Zhao, Chang-Ning Huang, and Mu Li
    An Improved Chinese Word Segmentation System with Conditional Random Field
    Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing (SIGHAN-5), pp.162-165, Sydney, Australia, July 22-23, 2006
    [PDF]

  • Hai Zhao and Bao-Liang Lu
    A Modular Reduction Method for k-NN Algorithm with Self-Recombination Learning
    The Third International Symposium on Neural Networks (ISNN-2006), LNCS Vol. 3971: 530-536, Chengdu, China, May 30 - June 1, 2006
    [PDF]

顶部

[2005]

  • Yi-Min Wen, Bao-Liang Lu, and Hai Zhao, Equal Clustering Makes Min-Max Modular Support Vector Machine More Efficient, The 12th International Conference on Neural Information Processing (ICONIP-2005), pp.77-82, Taipei, Taiwan, October 30 – November 2, 2005

  • Hai Zhao, Bao-Liang Lu, Yi-Min Wen, and Kai-An Wang, On Effective Decomposition of Training Data Sets for Min-Max Modular Classifier, The 12th International Conference on Neural Information Processing (ICONIP-2005), pp.343-348, Taipei, Taiwan, October 30 – November 2, 2005 [PDF]

  • Hai Zhao and Bao-Liang Lu, Determination of Hyperplane by PCA for Dividing Training Data Set, The 12th International Conference on Neural Information Processing (ICONIP-2005), pp.755-760, Taipei, Taiwan, October 30 – November 2, 2005

  • Yu-Kun Chen, Hai Zhao, and Bao-Liang Lu, On Improvement on Generalization Performance of Classifier by Using Empirical Risk, International Conference on Neural Networks and Brain, pp.41-46, Beijing, China, October 13-15, 2005

  • 赵海,吕宝粮. 基于最小最大模块化分类器的自重组学习算法, 计算机研究与发展, Vol. 42:243-247, 2005

  • Hai Zhao and Bao-Liang Lu, A General Procedure for Combining Binary Classifiers and Its Performance Analysis, The First International Conference on Natural Computation (ICNC'05), LNCS Vol. 3610: 303-312, Changsha, China, August 27-29, 2005 [PDF]

  • Hai Zhao and Bao-Liang Lu, On Efficient Selection of Binary Classifiers for Min-Max Modular Classifier, International Joint Conference on Neural Networks 2005 (IJCNN'05), pp.3186-3191, Montréal, Québec, Canada, July 31 - August 4, 2005 [PDF]

  • Feng-Yao Liu, Ke Wu, Hai Zhao, and Bao-Liang Lu, Fast Text Categorization with Min-Max Modular Support Vector Machines, International Joint Conference on Neural Networks 2005 (IJCNN'05), pp.570-575, Montréal, Québec, Canada, July 31 - August 4, 2005

  • 赵海. 最小最大模块化分类器研究, 导师:吕宝粮,上海交通大学博士学位论文, 2005年6月 [ps.rar]

  • Hai Zhao and Bao-Liang-Lu, Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection, The Second International Symposium Neural Networks (ISNN-2005), LNCS, Vol. 3497: 39-44, Chongqing, China, May 29 - June 2, 2005 [PDF]

  • Kai-An Wang, Hai Zhao, and Bao-Liang Lu, Task Decomposition Using Geometric Relation for Min-Max Modular SVMs, The Second International Symposium Neural Networks (ISNN-2005), LNCS, Vol. 3496: 887-892, Chongqing, China, May 29 - June 2, 2005 [PDF]

顶部

[2004]

  • Hai Zhao and Bao-Liang Lu, A Modular k-Nearest Neighbor Classification Method for Massively Parallel Text Categorization, International Symposium on Computational and Information Sciences(CIS'04), LNCS, Vol. 3314: 867-872, Shanghai, China, December 16-18, 2004

  • 赵海,吕宝粮. 二值分类器组合算法及其性能分析,2004年全国博士生学术论坛(电子信息领域),成都,2004年9月21-23日

  • Hai Zhao and Bao-Liang Lu, Analysis of Fault Tolerance of a Combining Classifier, The First International Symposium Neural Networks (ISNN-2004), LNCS, Vol. 3173, part II: 888-893, Dalian, China, August 19-21, 2004 [PDF]

[2003之前]

  • 赵海, 等. 基于人工意识概念的人工智能科学的重构, 模式识别与人工智能, Vol. 15(2): 155-160, 2002 (EI索引号:02417136336)

  • 关新平, 赵海, 等. 一类非线性系统的H∞鲁棒控制, 控制理论与应用, Vol. 19(1): 125-130, 2002

  • ZHAO Hai, et al., From Artificial Consciousness to Artificial Intelligence - A New Way to AI, High Technology Letters, (Special Issue): 98-100, August, 2001

  • 路燕,赵海,施伯乐. 基于人工意识观点的虚拟世界中的常识知识库, 计算机科学(增刊), Vol. 28(8): 351-355, 2001

  • LU Yan, ZHAO Hai, and SHI Bole, General Natural Language Real Understanding's Realization, Proceedings of the Sixth International Conference for Young Computer Scientist (ICYCS'2001): In Computer Science Technology in New Century, pp.68-71, Hangzhou, China, October 23-25, 2001 (EI:03137409426)

  • 关新平, 赵海, 等. 非线性系统的鲁棒控制综述, 燕山大学学报, Vol. 25(1): 1-8, 2001

  • 关新平,刘奕昌,赵海,等. 不确定时滞系统的鲁棒解耦控制. 自动化理论、技术与应用:中国自动化学会第十五届青年学术年会论文集, pp.14-18, 上海: 上海交通大学出版社, 2000

  • 关新平, 刘奕昌,赵海, 等. 状态和控制输入不确定时滞系统基于观测器的鲁棒控制. 控制与决策, Vol. 14(7): 577-580, 1999

  • 关新平, 刘奕昌,赵海, 等. 状态和控制输入不确定多时滞系统基于观测器的鲁棒控制. 中国自动化学会第十四届青年学术会议论文集, pp.119-124, 北京: 西苑出版社, 1999

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