个人综述
• 哈尔滨工业大学大学计算机科学以技术博士，硕士学位，山东科技大学信息与计算科学（计算数学方向）以及英语专业双学士学位。
• 研究方向集中在深度学习，文本匹配，自然语言生成，自动文摘，以及医疗文本信息处理。
• 在领域内国际顶级期刊以及顶级会议上发表10余篇学术论文。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817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609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79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2.2万余次。
• 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。
研究工作经历
2018.01至今马萨诸塞大学洛厄尔分校计算机科学学院博士后
研究方向：
• 医疗文本信息处理。
•从数据到文本的自动生成方法研究。
•文摘自动生成研究。
2017.07–2018.01马萨诸塞大学医学院博士后
研究方向：
• 基于病人病例历史文本信息的结果预测。
• 基于病人描述，检查结果等信息的自动诊断生成。
• 文本简化自动生成研究
2016.07-2017.07 腾讯 微信事业群 高级研究工程师（当年度微信事业群唯一以技术大咖计划录用员工）
研究方向：
• 微信订阅号文章的摘要自动生成以及辅助阅读
• 基于深度模型的多模态数据的用户信用预测。
2015.03-2009.09 华为诺亚方舟实验室（香港），研究实习生，导师：吕正东博士，李航博士
研究方向：
• 基于深度神经网络的规则自动推理。
• 基于深度卷积神经网络的机器翻译短语对筛选。
2014.03-2014.09华为诺亚方舟实验室（香港），研究实习生，导师：吕正东博士，李航博士
研究方向：
• 基于深度卷机神经网络的语句级语义匹配，
• 并将相关研究成果用于华为小诺对话机器人上。
文章发表
期刊论文
1 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) [Google Scholar Citations: 10]
2 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）[Google Scholar Citations: 15]
3 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.(SCIE, IF=3.188)
会议论文
1 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.(CCF-A, Google Scholar Metrics: Top 1 AI Conference) [Google Scholar Citations: 609]
2 Baotian Hu, Qingcai Chen and Fangze Zhu, "LCSTS: A Large-Scale Chinese Short Text Summarization Dataset", Empirical Methods in Natural Language Processing (EMNLP2015 Short Paper), 1967-1972, 2015. (CCF-B) [Google Scholar Citations: 79]
3 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， Short Paper), 536-541, 2015.(CCF-A) [Google Scholar Citations: 18]
4 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.(CCF-A) [Google Scholar Citations: 7]
5 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， Short Paper), 713-718, 2015.(CCF-A) [Google Scholar Citations: 46]
6 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, Short Paper), 2018.(CCF-C) [Google Scholar Citations: 2]
7 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.(CCF-C) [Google Scholar Citations: 7]
8 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.(CCF-C) [Google Scholar Citations: 5]
9 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.[Google Scholar Citations: 16]
10 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.
荣誉奖励
2018 中文信息学会优秀博士论文提名奖
2018 深圳市科技进步二等奖（总排名第四，学生身份排名第一）
2015 博士生国家奖学金
2010 山东科技大学优秀毕业生
学术任职
学术兼职
2018- 中文信息学会青年工作委员会委员
程序委员会委员
Neural Information Processing Systems (NeurIPS) 2019
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)
The 55th annual meeting of the Association for Computational Linguistics (ACL2017)
Association for the Advancement of Artificial Intelligence2019(AAAI2019)
2018 Conference on Empirical Methods in Natural Language Processing (EMNLP2018)
The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)
The 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT2019)
The 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018)
期刊会议审稿人
IEEE Transactions on Neural Networks and Learning Systems
ACM Transactions on Intelligent Systems and Technology
ACM Transactions on the Web (TWEB)
Knowledge-Based Systems
IEEE Access
