教师名录
户保田
通讯地址:深圳市南山区西丽大学城哈工大信息楼1518
电子邮件:hubaotian@hit.edu.cn
联系电话:

个人简介

• 哈尔滨工业大学大学计算机科学与技术博士,硕士学位,山东科技大学信息与计算科学(计算数学,ESI全球排名前1%)以及英语双学士学位。
• 在领域内国际顶级学术期刊与会议上发表论文10余篇。获得中国中文信息学会优秀博士论文提名奖以及博士生国家奖学金。所发表的文章在Google Scholar上累计引用900余次。
• 其作为第一作者发表于人工智能与机器学习领域最具影响力的学术会议NIPS2014上的文章单篇引用640余次,2018年数据统计其是nips近5年发表论文引用最多的50篇论文之一。
• 其发表于自然语言处理领域顶级学术会议EMNLP2015上的文章单篇引用达80余次,研究成果授权于包括哈佛,卡内基梅隆,清华,香港大学,百度,腾讯等200余所研究机构使用,该工作主页被访问2.3万余次。
• 参与多个自然科学基金项目,作为总排名第四,排名第一的学生参与者的项目,获得深圳市科技进步二等奖。
• 中国中文信息学会青年工作委员会委员

研究方向

自然语言处理,文本生成,篇章表示与理解,机器学习,医疗信息处理

教育经历

2006.09-2010.07  山东科技大学 信息与计算科学(计算数学)与英语双学士学位
2010.09-2012.07  哈尔滨工业大学 计算机科学与技术 硕士学位
2012.09-2016.07  哈尔滨工业大学 计算机科学与技术 博士学位

研究与工作经历

2019.08-  哈尔滨工业大学(深圳) 计算机科学与技术学院 助理教授
2017.07-2019.07  麻省大学 博士后
2016.07-2017.07  腾讯微信事业群 高级研究员(当年度唯一以技术大咖计划被微信录用的校招员工)
2015.03-2015.09  华为(香港)诺亚方舟实验室 研究实习生(实习导师:李航博士,吕正东博士)
2014.03-2014.09  华为(香港)诺亚方舟实验室 研究实习生(实习导师:李航博士,吕正东博士)

专业资质与学术兼职

2018-  中国中文信息学会青年工作委员会委员
2019  Neural Information Processing Systems (NeurIPS) 2019 程序委员委员
2017,2019  The Annual Meeting of the Association for Computational Linguistics(ACL) 程序委员会委员
2019  Association for the Advancement of Artificial Intelligence(AAAI) 程序委员会委员
2018  The Conference on Empirical Methods in Natural Language Processing(EMNLP) 程序委员会委员
2017  The International Joint Conference on Natural Language Processing (IJCNLP) 程序委员会委员
2019  The Conference of the North American Chapter of the Association for Computational Linguistics(NAACL-HLT) 程序委员会委员
期刊审稿人:  IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on the Web (TWEB), Knowledge-Based Systems

科研项目

  

科研成果及奖励

2010  山东科技大学 优秀毕业生
2015  哈尔滨工业大学 博士生国家奖学金
2018  中国中文信息学会(一级学会) 优秀博士论文提名奖(每两年评选一次,全国范围共评选10人)
2018  基于深度学习的中文信息处理与基础资源构建 深圳市科技进步二等奖(排名第四)

论文及著作

期刊论文:
Baotian Hu, Buzhou Tang,Qingcai Chen, Longbiao Kang, A Novel Word Embedding Learning Model Using the Dissociation between Nouns and Verbs, Neurocomputing,1108-1117, 2016.(SCI, IF=4.07, JCR-1)

Xiaoqiang Zhou,Baotian Hu, Qingcai Chen, Xiaolong Wang. Recurrent convolutional neural network for answer selection in community question answering. Neurocomputing. 2018.(SCI, IF=4.07,JCR-1)

Rumeng Li,Baotian Hu, Feifan Liu, Weisong Liu, Francesca Cunningham, David D McManus, Hong Yu, Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced with Recurrent Neural Network Autoencoders: Deep Learning Approach, JMIR medical informatics, 2019.(SCI, IF=3.188)

会议论文及发表演说

会议论文
Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen. Convolutional Neural Network Architectures for Matching Natural Language Sentences. In proceedings of Advances in Neural Information Processing Systems (NIPS2014), 2042-2050,2014.

Baotian Hu, Qingcai Chen and Fangze Zhu, "LCSTS: A Large-Scale Chinese Short Text Summarization Dataset", Empirical Methods in Natural Language Processing (EMNLP2015), 1967-1972, 2015.

Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li and Qingcai Chen, “Context-Dependent Translation Selection Using Convolutional Neural Network”, The joint conference of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing(ACL-IJCNLP2015), 536-541, 2015.

Yuxiang Wu*,Baotian Hu*(*Equal contribution). Learning to Extract Coherent Summary via Deep Reinforcement Learning. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018.

Xiaoqiang Zhou,Baotian Hu, Qingcai Chen,and Xiaolong Wang, "Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering", The joint conference of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing(ACL-IJCNLP2015), 713-718, 2015.

Tu Vu,Baotian Hu, Tsendsuren Munkhdalai, Hong Yu. Sentence Simplification with Memory-Augmented Neural Networks. The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT2018), 2018.

Longbiao Kang,Baotian Hu, Qingcai Chen. A Short Texts Matching Method Using Shallow features and Deep feature. Conference on Natural Language Processing & Chinese Computing (NLPCC2014), 150-159, 2014.

Xiaoqiang Zhou,Baotian Hu, Qingcai Chen, Xiaolong Wang. An Auto-Encoder for Learning Conversation Representation Using LSTM. International Conference on Neural Information Processing (ICONIP),310-317,2015.

Xiaoqiang Zhou,Baotian Hu, Jiaxin Lin, Xiaolong Wang. ICRC-HIT: A deep learning based comment sequence labeling system for answer selection challenge. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 210-214,2015.

Jiatao Gu,Baotian Hu, Zhengdong Lu, Hang Li, Victor O.K. Li. Guided Sequence-to-Sequence Learning with External Rule Memory. International Conference on Learning Representations (ICLR) Workshop Track. 2016.

任教和任导师经历

博士期间   协助指导硕士生多人,主要就职于腾讯,阿里巴巴,百度等知名一线互联网公司。
微信工作期间   指导实习生吴宇翔在AAAI2018上发表论文一篇。
博士后期间   在美国协助指导来自印度,越南,中国等国际留学博士生多名,发表高水平学术论文多篇。
最后更新:2019-09-21 16:15:56