朱小燕 - 清华大学 - 计算机科学与技术系

个人简介

教育背景工学学士 (自动化), 北京科技大学, 中国, 1981 工学硕士 (自动化), 神户大学, 日本, 1987 工学博士 (信息工程), 名古屋工业大学, 日本, 1990 社会兼职北京计算机学会: 副理事长 (2004-2018) 清华大学计算机科学与技术系: 副主任 (2004-2007) 智能技术与系统国家重点实验室: 主任 (2012-) 奖励与荣誉国家教委科技进步二等奖: 脱机手写体汉字与数字识别系统 (1997) 北京市科技进步二等奖: 第五次全国人口普查光电录入系统 (2004) 加拿大国际开发研究中心（IDRC）首席科学家 (2009)

研究领域

机器学习，文本信息处理，交互智能，对话系统

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Minlie Huang, Qiao Qian, Xiaoyan Zhu. Encoding Syntactic Knowledge in Neural Networks for Sentiment Classification. ACM Trans. Inf. Syst. 35, 3, Article 26 (June 2017), 27 pages Pei Ke*, Jian Guan*, Minlie Huang, Xiaoyan Zhu. Generating Informative Responses with Controlled Sentence Function. ACL 2018, Melbourne, Australia. Hao Zhou*, Tom Yang*, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu. Commonsense Knowledge Aware Conversation Generation with Graph Attention. IJCAI-ECAI 2018, Stockholm, Sweden. Ryuichi Takanobu*, Minlie Huang, Zhongzhou Zhao, Fenglin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie. A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. IJCAI-ECAI 2018, Stockholm, Sweden Jun Feng*, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu. Reinforcement Learning for Relation Classification from Noisy Data. AAAI 2018, New Orleans, Louisiana, USA. Hao Zhou*, Minlie Huang, Xiaoyan Zhu, Bing Liu. Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018, New Orleans, Louisiana, USA Jun Feng*, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang and Xiaoyan Zhu. Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. WWW 2018 (Industry Track). Lyon, France. Qiao Qian, Minlie Huang, Xiaoyan Zhu. Linguistically Regularized LSTM for Sentiment Analysis. ACL 2017. Han Xiao, Minlie Huang and Xiaoyan Zhu. SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. AAAI 2017. February 4–9, San Francisco, US. Han Xiao, Minlie Huang, Xiaoyan Zhu. TransG : A Generative Model for Knowledge Graph Embedding.. ACL 2016, Berlin, Germany. Han Xiao, Minlie Huang, Xiaoyan Zhu. From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction. IJCAI 2016, New York, USA.