![李航[華為諾亞方舟實驗室原主任]](/img/e/3a1/nBnauM3X2MjM2gzM3MzMwADO1UTM1QDN5MjM5ADMwAjMwUzLzMzLwAzLt92YucmbvRWdo5Cd0FmLxE2LvoDc0RHa.jpg "李航[華為諾亞方舟實驗室原主任]")
人物履歷
1988年畢業於日本京都大學電氣工程系，獲得日本東京大學計算機科學博士。
1990年-2001年任職於日本NEC公司中央研究所，為研究員；
1998年獲得日本東京大學計算機科學博士學位
1990年至2001年就職於日本NEC公司中央研究所，任研究員
2001年至2012年就職於微軟亞洲研究院，任研究員、主任研究員、高級研究員
2012年至今就職於華為諾亞方舟實驗室，任首席科學家、實驗室主任
研究方向
研究方向包括信息檢索、自然語言處理、統計機器學習及數據挖掘。 他一直活躍在相關學術領域，曽出版過三部學術專著，並在頂級國際學術會議和國際學術期刊上發表過上百篇學術論文，擁有40項授權美國專利。
科研成果
他一直活躍在相關學術領域，曾出版過三部學術專著，並在頂級國際學術會議和國際學術期刊上發表過上百篇學術論文，擁有40項授權美國專利。
具體科研成果有：
Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li,Multimodal Convolutional Neural Networks for Matching Image and Sentence.Proceedings of 2015 IEEE InternationalConference on Computer Vision (ICCV), 2623-2631, 2015.
Lifeng Shang, Zhengdong Lu, Hang Li. Neural Responding Machine for Short Text Conversation. Proceedings of the 53th Annual Meeting of Association for Computational Linguistics and the 7th International Conference on Natural Language Processing (ACL-IJCNLP'15), 2015.
Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen. Convolutional Neural Network Architectures for Matching Natural Language Sentences. Proceedings of Advances in Neural Information Processing Systems 27 (NIPS'14), 2042-2050, 2014.
Hang Li, Jun Xu. Semantic Matching in Search. Foundations and Trends in Information Retrieval, Now Publishers, 2014.
Wei Wu, Zhengdong Lu, Hang Li. Learning Bilinear Model for Matching Queries and Documents. Journal of Machine Learning Research (JMLR), 14: 2519-2548, 2013.
Quan Wang, Jun Xu, Hang Li, Nick Craswell. Regularized Latent Semantic Indexing: A New Approach to Large Scale Topic Modeling. ACM Transactions on Information Systems (TOIS), 31(1): 5, 2013.
Fan Bu, Hang Li, Xiaoyan Zhu. String Re-Writing Kernel. In Proceedings of the 50th Annual Meeting ofAssociation for Computational Linguistics (ACL’12), 449-458, 2012. (ACL’12 Best Student Paper Award).
Yunhua Hu, Yanan Qian, Hang Li, Daxin Jiang, Jian Pei, Qinghua Zheng. Mining Query Subtopics from Search Log Data. Proceedings of the 35th Annual International ACM SIGIR Conference (SIGIR’12), 305-314, 2012.
李航. 統計學習方法. 清華大學出版社, 2012.
Hang Li. A Short Introduction toLearning to Rank. IEICE Transactions on Information and Systems, E94-(10),2011.
Quan Wang, Jun Xu, Hang Li, Nick Craswell. Regularized Latent Semantic Indexing. Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR’11), 685-694, 2011.
Ziqi Wang, Gu Xu, Hang Li, Ming Zhang. A Fast and Accurate Method for Approximate String Search. Proceedingsof the 49th Annual Meeting of Association for Computational Linguistics: Human Language Technologies (ACL-HLT’11), 52-61, 2011.
Hang Li. Learning to Rank for Information Retrieval and Natural Language Processing. Synthesis Lectures on Human Language Technology, Lecture 12, Morgan & Claypool Publishers, 2011.
Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li. Context-Aware Ranking in Web Search. Proceedings of the 33rd Annual International ACM SIGIR Conference (SIGIR’10), 451-458, 2010.
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li. Named Entity Recognition in Query. Proceedings of the 32nd Annual International ACM SIGIR Conference (SIGIR’09), 267-274, 2009.
Huanhuan Cao, Daxin Jiang, JianPei, Enhong Chen, Hang Li. Towards Context-aware Search by Learning a Very Large Variable Length Hidden Markov Model from Search Logs. Proceedings of the 18th World Wide Web Conference (WWW'09), 191-200, 2009.
Jun Xu, Ti-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma. Directly Optimizing Evaluation Measures in Learning to Rank. Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR'08), 107-114, 2008.
Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhohng Chen, Hang Li. Context-Aware Query Suggestion by Mining Click-Through and Session Data. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), 875-883, 2008. (SIGKDD’08 Best Application Paper Award).
Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li. BrowseRank: Letting Users Vote for Page Importance. Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), 451-458, 2008. (SIGIR’08 Best Student Paper Award).
Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng. A Unified and Discriminative Model for Query Refinement. Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), 379-386, 2008.
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li. Listwise Approach to Learning to Rank: Theory and Algorithm. Proceedings of the 25th International Conference on Machine Learning (ICML’08), 1192-1199, 2008.
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li. Learning to Rank: From Pairwise Approach to Listwise Approach. Proceedings of the 24th International Conference on Machine Learning (ICML’07), 129-136, 2007.
Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, Hang Li. LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval. Proceedings of SIGIR 2007 Workshop on Learning to Rank for Information Retrieval, 2007.
Jun Xu and Hang Li. AdaRank: A Boosting Algorithm for Information Retrieval. Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR’07), 391-398, 2007.
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, Hsiao-Wuen Hon. Adapting Ranking SVM to Document Retrieval. Proceedings of the 29th Annual International ACM SIGIR Conference (SIGIR’06), 186-193, 2006.
Yunhua Hu, Guomao Xin, Ruihua Song,Guoping Hu, Shuming Shi, Yunbo Cao, Hang Li. Title Extraction from Bodies of HTML Documents and Its Application to Web Page Retrieval. Proceedings of the 28th Annual International ACM SIGIR Conference (SIGIR’05), 250-257, 2005.
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Qinghua Zheng. Automatic Extraction of Titles from General Documents using Machine Learning. Proceedings of the 14th Joint Conference on Digital Library 2005 (JCDL’05), 145-154, 2005.
Jun Xu, Yunbo Cao, Hang Li, Min Zhao. Ranking Definitions with Supervised Learning Method. Proceedings of the 14th World Wide Web Conference (WWW’05), pages 811-819, 2005.
Hang Li, Yunbo Cao, Jun Xu, Yunhua Hu, Shenjie Li, Dmitriy Meyerzon. A New Approach to Intranet Search Based on Information Extraction. Proceedings of the 14th ACM Conference on Information and Knowledge Management (CIKM’05), industry track, 460-468, 2005.
Yunbo Cao, Jingjing Liu, Shenghua Bao, Hang Li. Research on Expert Search at Enterprise Track of TREC 2005. Proceedings of the 14th Text Retrieval Conference (TREC'05), 2005.
Hang Li, Cong Li. Word Translation Disambiguation Using Bilingual Bootstrapping. Computational Linguistics, 30(1):1-22, MIT Press, 2004.
Hang Li, Yunbo Cao, Cong Li. Using Bilingual Web Data to Mine and Rank Translations. IEEE Intelligent Systems, 39(4):54-59, 2003.
Hang Li. Word Clustering and Disambiguation based on Co-occurrence Data. Natural Language Engineering, 8(1):25-42, 2002.
Hang Li, Kenji Yamanishi. Text Classification Using ESC-based Stochastic Decision Lists. Information Processing and Management, 38(3):343-361, 2002.
Hang Li, Kenji Yamanishi. Mining from Open Answers in Questionnaire Data. Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’01), 443-449, 2001.
Hang Li, Naoki Abe. Generalizing Case Frames Using a Thesaurus and the MDL Principle. Computational Linguistics, 24(2):217-244, 1998.
Hang Li. A Probabilistic Approach to Lexical Semantic Knowledge Acquisition and Structural Disambiguation. PhD Thesis, University of Tokyo, 1998.
1.Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li,Multimodal Convolutional Neural Networks for Matching Image and Sentence.Proceedings of 2015 IEEE InternationalConference on Computer Vision (ICCV), 2623-2631, 2015.
2.Lifeng Shang, Zhengdong Lu, Hang Li. Neural Responding Machine for Short Text Conversation. Proceedings of the 53th Annual Meeting of Association for Computational Linguistics and the 7th International Conference on Natural Language Processing (ACL-IJCNLP'15), 2015.
3.Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen. Convolutional Neural Network Architectures for Matching Natural Language Sentences. Proceedings of Advances in Neural Information Processing Systems 27 (NIPS'14), 2042-2050, 2014.
4.Hang Li, Jun Xu. Semantic Matching in Search. Foundations and Trends in Information Retrieval, Now Publishers, 2014.
5.Wei Wu, Zhengdong Lu, Hang Li. Learning Bilinear Model for Matching Queries and Documents. Journal of Machine Learning Research (JMLR), 14: 2519-2548, 2013.
6.Quan Wang, Jun Xu, Hang Li, Nick Craswell. Regularized Latent Semantic Indexing: A New Approach to Large Scale Topic Modeling. ACM Transactions on Information Systems (TOIS), 31(1): 5, 2013.
7.Fan Bu, Hang Li, Xiaoyan Zhu. String Re-Writing Kernel. In Proceedings of the 50th Annual Meeting ofAssociation for Computational Linguistics (ACL’12), 449-458, 2012. (ACL’12 Best Student Paper Award).
8.Yunhua Hu, Yanan Qian, Hang Li, Daxin Jiang, Jian Pei, Qinghua Zheng. Mining Query Subtopics from Search Log Data. Proceedings of the 35th Annual International ACM SIGIR Conference (SIGIR’12), 305-314, 2012.
9.李航. 統計學習方法. 清華大學出版社, 2012.
10.Hang Li. A Short Introduction toLearning to Rank. IEICE Transactions on Information and Systems, E94-(10),2011.
11.Quan Wang, Jun Xu, Hang Li, Nick Craswell. Regularized Latent Semantic Indexing. Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR’11), 685-694, 2011.
12.Ziqi Wang, Gu Xu, Hang Li, Ming Zhang. A Fast and Accurate Method for Approximate String Search. Proceedingsof the 49th Annual Meeting of Association for Computational Linguistics: Human Language Technologies (ACL-HLT’11), 52-61, 2011.
13.Hang Li. Learning to Rank for Information Retrieval and Natural Language Processing. Synthesis Lectures on Human Language Technology, Lecture 12, Morgan & Claypool Publishers, 2011.
14.Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li. Context-Aware Ranking in Web Search. Proceedings of the 33rd Annual International ACM SIGIR Conference (SIGIR’10), 451-458, 2010.
15.Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li. Named Entity Recognition in Query. Proceedings of the 32nd Annual International ACM SIGIR Conference (SIGIR’09), 267-274, 2009.
16.Huanhuan Cao, Daxin Jiang, JianPei, Enhong Chen, Hang Li. Towards Context-aware Search by Learning a Very Large Variable Length Hidden Markov Model from Search Logs. Proceedings of the 18th World Wide Web Conference (WWW'09), 191-200, 2009.
17.Jun Xu, Ti-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma. Directly Optimizing Evaluation Measures in Learning to Rank. Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR'08), 107-114, 2008.
18.Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhohng Chen, Hang Li. Context-Aware Query Suggestion by Mining Click-Through and Session Data. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), 875-883, 2008. (SIGKDD’08 Best Application Paper Award).
19.Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li. BrowseRank: Letting Users Vote for Page Importance. Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), 451-458, 2008. (SIGIR’08 Best Student Paper Award).
20.Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng. A Unified and Discriminative Model for Query Refinement. Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), 379-386, 2008.
21.Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li. Listwise Approach to Learning to Rank: Theory and Algorithm. Proceedings of the 25th International Conference on Machine Learning (ICML’08), 1192-1199, 2008.
22.Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li. Learning to Rank: From Pairwise Approach to Listwise Approach. Proceedings of the 24th International Conference on Machine Learning (ICML’07), 129-136, 2007.
23.Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, Hang Li. LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval. Proceedings of SIGIR 2007 Workshop on Learning to Rank for Information Retrieval, 2007.
24.Jun Xu and Hang Li. AdaRank: A Boosting Algorithm for Information Retrieval. Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR’07), 391-398, 2007.
25.Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, Hsiao-Wuen Hon. Adapting Ranking SVM to Document Retrieval. Proceedings of the 29th Annual International ACM SIGIR Conference (SIGIR’06), 186-193, 2006.
26.Yunhua Hu, Guomao Xin, Ruihua Song,Guoping Hu, Shuming Shi, Yunbo Cao, Hang Li. Title Extraction from Bodies of HTML Documents and Its Application to Web Page Retrieval. Proceedings of the 28th Annual International ACM SIGIR Conference (SIGIR’05), 250-257, 2005.
27.Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Qinghua Zheng. Automatic Extraction of Titles from General Documents using Machine Learning. Proceedings of the 14th Joint Conference on Digital Library 2005 (JCDL’05), 145-154, 2005.
28.Jun Xu, Yunbo Cao, Hang Li, Min Zhao. Ranking Definitions with Supervised Learning Method. Proceedings of the 14th World Wide Web Conference (WWW’05), pages 811-819, 2005.
29.Hang Li, Yunbo Cao, Jun Xu, Yunhua Hu, Shenjie Li, Dmitriy Meyerzon. A New Approach to Intranet Search Based on Information Extraction. Proceedings of the 14th ACM Conference on Information and Knowledge Management (CIKM’05), industry track, 460-468, 2005.
30.Yunbo Cao, Jingjing Liu, Shenghua Bao, Hang Li. Research on Expert Search at Enterprise Track of TREC 2005. Proceedings of the 14th Text Retrieval Conference (TREC'05), 2005.
31.Hang Li, Cong Li. Word Translation Disambiguation Using Bilingual Bootstrapping. Computational Linguistics, 30(1):1-22, MIT Press, 2004.
32.Hang Li, Yunbo Cao, Cong Li. Using Bilingual Web Data to Mine and Rank Translations. IEEE Intelligent Systems, 39(4):54-59, 2003.
33.Hang Li. Word Clustering and Disambiguation based on Co-occurrence Data. Natural Language Engineering, 8(1):25-42, 2002.
34.Hang Li, Kenji Yamanishi. Text Classification Using ESC-based Stochastic Decision Lists. Information Processing and Management, 38(3):343-361, 2002.
35.Hang Li, Kenji Yamanishi. Mining from Open Answers in Questionnaire Data. Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’01), 443-449, 2001.
36.Hang Li, Naoki Abe. Generalizing Case Frames Using a Thesaurus and the MDL Principle. Computational Linguistics, 24(2):217-244, 1998.
37.Hang Li. A Probabilistic Approach to Lexical Semantic Knowledge Acquisition and Structural Disambiguation. PhD Thesis, University of Tokyo, 1998.
