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导师介绍
姓名 兰艳艳  性别 女 
联系方式 lanyanyan@ict.ac.cn  职称 研究员 
研究方向   
个人介绍
简历:
2019年9月 — 今 :中科院计算所,研究员
2013年9月 — 2019年9月:中科院计算所,副研究员
  (期间:2018年4月 — 2019年3月:美国加州伯克利大学,访问学者)
2011年7月 — 2013年9月:中科院计算所,助理研究员
2005年9月— 2011年6月:中国科学院,数学与系统科学研究院,博士生
2001年9月— 2005年6月:山东大学,数学科学学院,本科生
 
个人主页:http://people.ucas.edu.cn/~lanyanyan
研究方向:
 
社会任职:
 
获奖及荣誉:
获得SIGIR最佳学生论文奖;CIKM最佳论文RunnerUp奖;
获得中文信息学会钱伟长中文信息处理科学技术一等奖;
入选中国科学院青年创新促进会会员,中科院计算所学术百星。
代表论著:
会议文章:
[1] Hainan Zhang#, Yanyan Lan*, Liang Pang, Jiafeng Guo, Xueqi Cheng, ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation, ACL2019.
[2] Liang Pang#, Yanyan Lan*, Jiafeng Guo, Jun Xu and Xueqi Cheng. HAS-QA: Hierarchical Answr Spans Model for Open-Domain Question Answering. Proceedings of the 33th AAAI Conference on Artificial Intelligence. (AAAI 2019)
[3] Jianing Li#, Yanyan Lan*, Jiafeng Guo, Jun Xu and Xueqi Cheng. Differentiated Distribution Recovery for Neural Text Generation. Proceedings of the 33th AAAI Conference on Artificial Intelligence. (AAAI 2019) 
[4] Hainan Zhang#, Yanyan Lan*, Jiafeng Guo, Jun Xu and Xueqi Cheng. Tailored Sequence to Sequence Models for Different Conversation Scenarios. The 56th Annual Meeting of the Association for Computational Linguistics. (ACL 2018) 
[5] Hainan Zhang#, Yanyan Lan*, Jiafeng Guo, Jun Xu and Xueqi Cheng. Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence. (IJCAI-ECAI 2018) 
[6] Liang Pang#, Yanyan Lan*, Jiafeng Guo, Jun Xu and Xueqi Cheng. DeepRank: a New Deep Architecture for Relevance Ranking in Information Retrieval. Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore.
[7] Liang Pang#, Yanyan Lan*, Jiafeng Guo, Jun Xu and Xueqi Cheng. A Deep Investigation of Deep IR Models. Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval, Tokyo, 2017. 
[8] Shengxian Wan#, Yanyan Lan*, Jiafeng Guo, Jun Xu, and Xueqi Cheng. Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. Proceedings of the 25th International Joint Conference on Artificial Intelligence. (IJCAI 2016)
[9] Fei Sun#, Jiafeng Guo*, Yanyan Lan, Jun Xu, and Xueqi Cheng. Sparse Word Embeddings Using L1 Regularized Online Learning. Proceedings of the 25th International Joint Conference on Artificial Intelligence. (IJCAI 2016)
[10] Liang Pang#, Yanyan Lan*, Jiafeng Guo, Jun Xu, and Xueqi Cheng. Text Matching as Image Recognition. Proceedings of the 30th AAAI Conference on Artificial Intelligence. (AAAI 2016) 
[11] Shengxian Wan#, Yanyan Lan*, Jiafeng Guo, Jun Xu, and Xueqi Cheng. A Deep Arhitecture for Semantic Matching with Multiple Positional Sentence Representations. Proceedings of the 30th AAAI Conference on Artificial Intelligence. (AAAI 2016) 
[12] Liang Pang#, Yanyan Lan*, Jiafeng Guo, Jun Xu, and Xueqi Cheng. SPAN: Understanding a Question with its Support Answers.([poster) Proceedings of the 30th AAAI Conference on Artificial Intelligence. (AAAI 2016,short paper) 
[13] Yadong Zhu#, Yanyan Lan*, Jiafeng Guo, Xueqi Cheng and Shuzi Niu, Learning for Search Result Diversification. Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’14), GoldCoast, Australia, 2014.
[14] Shuzi Niu#, Yanyan Lan*, Jiafeng Guo, Xueqi Cheng and Xiubo Geng, What Makes Data Robust: A Data Analysis in Learning to Rank. Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’14), GoldCoast, Australia, 2014.
[15] Shengxian Wan#, Yanyan Lan*, Jiafeng Guo, Chaosheng Fan, and Xueqi Cheng, Informational Friend Recommendation in Social Media. Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’13), Dublin, Ireland, 2013.
[16] Shuzi Niu#, Yanyan Lan*, Jiafeng Guo, Lei Yu, Guoping Long, Xueqi Cheng, Listwise Approach for Rank Aggregation in Crowdsourcing, Proceedings of the 8th International conference on Web Search and Data Mining (WSDM’15), Shanghai, China.
[17] Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu and Xueqi Cheng, Position-Aware ListMLE: A Sequential Learning Process for Ranking. Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI’14), Quebec, Canada, 2014.
[18] Chaosheng Fan#, Yanyan Lan*, Jiafeng Guo, Zuoquan Lin, and Xueqi Cheng, Collaborative Factorization for Recommender Systems. Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’13), Dublin, Ireland, 2013. 
[19] Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng, Is Top-k Sufficient for Ranking? Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM’13), San Francisco, USA, 2013.
[20] Shuzi Niu#, Yanyan Lan*, Jiafeng Guo, and Xueqi Cheng, Stochastic Rank Aggregation. Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI’13), Washington, USA, 2013. 
[21] Shuzi Niu#, Yanyan Lan*, Jiafeng Guo, and Xueqi Cheng, A New Probabilistic Model for Top-k Ranking Problem, Proceedings of The 21th ACM Conference on Information and Knowledge Management (CIKM’12), pp:2519-2522, Hawaii, USA, 2012.
[22] Yanyan Lan, Jiafeng Guo, Xueqi Cheng, and Tie-Yan Liu. Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space, Proceedings of Neural Information Processing Systems (NIPS’12), pp:1241-1249, Lake Tahoe, Nevada, USA, 2012. 
[23] Shuzi Niu#, Jiafeng Guo*, Yanyan Lan, and Xueqi Cheng, Top-k Learning to Rank: Labeling, Ranking and Evaluation. Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’12), pp:751-760, Portland, Oregon, USA, 2012. (Best Student Paper Award) 
[24] Wei Chen#, Tie-Yan Liu*, Yanyan Lan, Zhiming Ma, and Hang Li, Ranking Measures and Loss Functions in Learning to Rank. Proceedings of the 24th Annual Conference on Neural Information Processing Systems Foundation (NIPS’09), pp:315-323, Vancouver, B.C., Canada, 2009. 
[25] Yanyan Lan, Tie-Yan Liu, Zhiming Ma, and Hang Li, Generalization Analysis of Listwise Learning-to-Rank Algorithms. Proceedings of the 26th International Conference on Machine Learning (ICML’09), pp:577-584, Montreal, Canada, 2009. 
[26] Yanyan Lan, Tie-Yan Liu, Zhiming Ma, and Hang Li, Query-Level Stability and Generalization in Learning to Rank. Proceedings of the 25th International Conference o\n Machine Learning (ICML’08), pp:512-519, Montreal, Canada, 2008.
承担科研项目情况:
[1] 国家自然科学基金青年项目:基于用户评价准则的排序学习算法与理论研究,项目负责人;
[2] 国家自然科学基金面上项目:面向文本生成的生成式对抗网络算法与理论研究,项目负责人;
[3] 中国科学院项目:中国科学院青年创新促进会会员,项目负责人
[4] 国家其他项目,基于生成对抗网络的创新构想话题智能生成,项目负责人
[5] 973项目子课题,网络数据复杂性度量与计算基础理论研究,382万,2014.1-2018.12,已结题,主要参与人
学科类别:
计算机软件与理论
所属部门:
网路数据科学与技术重点实验室
专家类别:
正高
杰青入选时间:
百人入选时间:
其他备注:
博导计算机软件与理论
其他备注2:
 
其他备注3:
 
 
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