Name: Shumin Shi
Discipline: Computer Science and Technology
Title: Associate Professor
Tel: 010-68912041
E-mail: bjssm@bit.edu.cn
Address: Room 1006, 10th Floor, Central Teaching Building, Beijing Institute of Technology, Haidian District, Beijing Personal Information
Shi Shumin, PhD, Associate Professor, Master tutor, Visiting Scholar at University of California, Berkeley (2015-2016).
His research interests include machine translation, fuzzy semantic computing, social computing and application of natural language processing. In 2009, he was transferred from the Computer Language Information Engineering Research Center of the Chinese Academy of Sciences to the School of Computer Science of Beijing Institute of Technology.
After arriving at school, he has presided over or participated in key projects of National Natural Science Foundation, surface projects, and youth funds; National Ministry of Science and Technology 973 plan, 863 plan, science and technology support plan; More than 10 national or provincial level scientific research projects such as basic scientific research and national defense pre-research of the Ministry of Industry and Information Technology. At the same time, he presided over a number of special funds for basic scientific research in universities financed by the central government, the Beijing Institute of Technology Outstanding Young Teachers' funding program, basic scientific research fund projects and horizontal projects. Published more than 20 academic papers in SCI/EI and international journals, and obtained 8 patents; Won 2 science and technology awards such as the first Prize of Beijing Science and Technology, and 3 provincial and ministerial scientific and technological achievements appraisal; He has compiled 4 teaching materials and won 1 first prize of provincial and ministerial teaching. He has successively won the titles of National Excellent Science and Technology Teacher, Beijing Excellent Tutor, Beijing University of Technology Excellent Tutor of Student innovation project, "Sanyu Advanced Individual" and excellent class teacher.
After graduation, students will go to Microsoft Asian Engineering Academy, or Huawei, Jingdong, Meituan and other companies, or the People's Bank of China, Agricultural Bank of China (head office), China Construction Bank (head office), Institute of Information and Industry of the Chinese Academy of Sciences, Central audio-visual Education Institute and other enterprises and institutions.

Research Direction
Machine Translation, Fuzzy Semantic Computing, Social Computing and Applications

Personal Information
Shi Shumin, PhD, Associate Professor, Master tutor, Visiting Scholar at University of California, Berkeley (2015-2016).
His research interests include machine translation, fuzzy semantic computing, social computing and application of natural language processing. In 2009, he was transferred from the Computer Language Information Engineering Research Center of the Chinese Academy of Sciences to the School of Computer Science of Beijing Institute of Technology.
After arriving at school, he has presided over or participated in key projects of National Natural Science Foundation, surface projects, and youth funds; National Ministry of Science and Technology 973 plan, 863 plan, science and technology support plan; More than 10 national or provincial level scientific research projects such as basic scientific research and national defense pre-research of the Ministry of Industry and Information Technology. At the same time, he presided over a number of special funds for basic scientific research in universities financed by the central government, the Beijing Institute of Technology Outstanding Young Teachers' funding program, basic scientific research fund projects and horizontal projects. Published more than 20 academic papers in SCI/EI and international journals, and obtained 8 patents; Won 2 science and technology awards such as the first Prize of Beijing Science and Technology, and 3 provincial and ministerial scientific and technological achievements appraisal; He has compiled 4 teaching materials and won 1 first prize of provincial and ministerial teaching. He has successively won the titles of National Excellent Science and Technology Teacher, Beijing Excellent Tutor, Beijing University of Technology Excellent Tutor of Student innovation project, "Sanyu Advanced Individual" and excellent class teacher.
After graduation, students will go to Microsoft Asian Engineering Academy, or Huawei, Jingdong, Meituan and other companies, or the People's Bank of China, Agricultural Bank of China (head office), China Construction Bank (head office), Institute of Information and Industry of the Chinese Academy of Sciences, Central audio-visual Education Institute and other enterprises and institutions.

Personal Information
Shi Shumin, PhD, Associate Professor, Master tutor, Visiting Scholar at University of California, Berkeley (2015-2016).
His research interests include machine translation, fuzzy semantic computing, social computing and application of natural language processing. In 2009, he was transferred from the Computer Language Information Engineering Research Center of the Chinese Academy of Sciences to the School of Computer Science of Beijing Institute of Technology.
After arriving at school, he has presided over or participated in key projects of National Natural Science Foundation, surface projects, and youth funds; National Ministry of Science and Technology 973 plan, 863 plan, science and technology support plan; More than 10 national or provincial level scientific research projects such as basic scientific research and national defense pre-research of the Ministry of Industry and Information Technology. At the same time, he presided over a number of special funds for basic scientific research in universities financed by the central government, the Beijing Institute of Technology Outstanding Young Teachers' funding program, basic scientific research fund projects and horizontal projects. Published more than 20 academic papers in SCI/EI and international journals, and obtained 8 patents; Won 2 science and technology awards such as the first Prize of Beijing Science and Technology, and 3 provincial and ministerial scientific and technological achievements appraisal; He has compiled 4 teaching materials and won 1 first prize of provincial and ministerial teaching. He has successively won the titles of National Excellent Science and Technology Teacher, Beijing Excellent Tutor, Beijing University of Technology Excellent Tutor of Student innovation project, "Sanyu Advanced Individual" and excellent class teacher.
After graduation, students will go to Microsoft Asian Engineering Academy, or Huawei, Jingdong, Meituan and other companies, or the People's Bank of China, Agricultural Bank of China (head office), China Construction Bank (head office), Institute of Information and Industry of the Chinese Academy of Sciences, Central audio-visual Education Institute and other enterprises and institutions.

代表性学术成果
论文：
1. Shumin Shi, Shengqing Shi, Xinyu Zhou, Meng Zhao, Heyan Huang. An Improved Immune Genetic Algorithm for New Word Identification. International Journal of Advanced Intelligence, 2017, 9(2):247-258
2. Chao Su, Heyan Huang, Shumin Shi*, et al. A Parallel Recurrent Neural Network for Language Modeling with POS Tags. The 31st Pacific Asia Conference on Language, Information and Computation ( PACLIC ) 2017( EI )
3. Shumin Shi, Yujian Liu, Tianhang Wang, Congjun Long, Heyan Huang. Tibetan Syllable-Based Functional Chunk Boundary Identification. Lecture Notes in Computer Science, 2017,vol 10565: 439-448. ( EI )
4. Shumin Shi, Xinyu Zhou, Meng Zhao, Heyan Huang. Identifying Suspected Cybermob on Tieba. Lecture Notes in Computer Science, 2017, vol 10035:375-386. ( EI )
5. Su Rihai, Shi Shumin*, Zhao Meng, Huang Heyan. Utilizing crowdsourcing for the construction of Chinese-Mongolian speech corpus with evaluation mechanism. Communications in Computer and Information Science, 2017, vol 728:55-65. ( EI )
6. Li R, Shi S*, Huang H, et al. A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2014: 53-61. ( EI )
7. Hongxia Zhao, Congzhi Wang, Xiuhui Zhang, Na Wang,Yang Bai, Shumin Shi* and Qianshu Li. Theoretical studies on the high-spin binuclear cyclopentadienyliron derivatives Cp2Fe2(CN)n (Cp = η5-C5H5; n = 6, 5,4,3,2,1). Molecular Physics, 2013 ( SCI IF 1.67 )
8. Chao Su, Yuhang Guo, Heyan Huang, Shumin Shi, Chong Feng. Incorporating Target Language Semantic Roles into a String-to-tree Translation Model. Frontiers of Information Technology and Electronic Engeneering. 2017, vol.18(10): 1534-1542 ( SCI )
9. Heyan Huang, Hao Wu, Xiaochi Wei, Yang Gao, Shumin Shi. Mapping Sentences to Concept Transferred Space for Semantic Textual Similarity. Knowledge and Information Systems. ( Accepted )
10. Anh TranHuu, Heyan Huang, Yuhang GuO, Shumin Shi, Ping Jian. Integrating Pronunciation into Chinese –Vietnamese Statistical Machine Translation. TSINGHUA Science and Technology. ( Accepted )
11. Haixiang Hu, Lei Du, Xiaochun Li, Hongxia Zhao, Xiuhui Zhang, Shumin Shi, Hanlai Li, Xiaoyong Tang, Jing Yang. Experimental, Quantum Chemical and Molecular Dynamics Studies of Imidazoline Molecules Against the Corrosion of Steel and Quantitative Structure- Activity Relationship Analysis Using the Support Vector Machine (SVM) Method. Int. J. Electrochem. Sci. , 8 (2013) ( SCI IF 3.729 )
12. ChaoyongZhu, Heyan Huang, Shumin Shi. Hierarchical Domain Assignment based on Word-Gloss China Communications,2012,9(3) ( SCI )
13. 李业刚, 黄河燕, 史树敏, 鉴萍, 苏超. 基于双语协同训练的最大名词短语识别研究. 软件学报. 2015,26(7) 1615-1625.
14. 王天航, 史树敏*, 龙从军, 黄河燕, 李琳. 基于错误驱动学习策略的藏语句法功能组块边界识别. 中文信息学报,2014,28(5):170-175
15. 李业刚, 黄河燕, 史树敏, 冯冲, 苏超. 多策略机器翻译研究综述. 中文信息学报. 2014(10):170-175.
授权专利：
1. 一种未登录词的识别方法. （ZL200910265839.7）
2. 一种基于词汇注释的领域词典自动扩充方法 (ZL201310046647.3)
3. 一种基于双语协同训练的命名实体识别方法 (ZL201310593746.3)
4. 一种针对词语级别的汉语情感词极性强度量化方法 (ZL201310576097.6)
5. 一种面向知识管理的自定义知识分类方法（ZL201410003685.5）
6. 一种基于本体匹配的语义查询方法（ZL 201410004084.6）
7. 一种双语最大名词组块分离-融合的翻译方法（ZL 201310593728.5）
8. 一种基于历史记录的知识推送方法（ZL 201410018115.3）
9. 软件著作权：BIT 网民身份甄别系统
10. 软件著作权：藏文自动分词系统
所获奖励
1. 项目“中国盲文智能处理关键技术与应用”获北京市科学技术奖一等奖，2016年
2. 项目“多策略智能辅助翻译系统及工程管理平台”获北京市科学技术奖三等奖，2014年
3. 教改项目“计算机学科创新型人才一体化培养系统构建与实践”获北京理工大学优秀教育教学成果一等奖，2017年
4. 教材“大学计算机”获第四届中国大学出版社图书优秀教材二等奖，2015年
5. 教材“大学计算机实验”获第十一届北京理工大学优秀教材一等奖，2014年
6. 项目指导：北京理工大学优秀大学生创新项目“智能图书馆还书机器人的识别装置”指导教师，2012年
7. 项目指导：北京理工大学优秀大学生创新项目“基于人眼凝视方向检测的眼控鼠标系统”指导教师，2012年
8. 全国优秀科技教师，2014年
9. 北京市优秀辅导教师，2014年
10. 课堂教学：北京市高等教育学会计算机教学精彩片段交流一等奖，2012年
11. 课堂教学：北京理工大学青年教师教学基本功比赛二等奖，2017年
12. 教学论文：北京理工大学青年教师教学基本功比赛优秀教育论文，2017年
13. 北京市优秀硕士毕业生，导师，2018年
14. 北京理工大学“三育人”先进个人，2017年
15. 北京理工大学优秀班主任（多次）