| 姓名：王挺 职称：高级工程师 办公室：松江校区1#-259
| Name：Ting Wang Title：Dr. Office: Songjiang Campus 1#-259 | |
教育背景： 2014.7-2016.9清华大学智能技术与系统国家重点实验室博士后 2009.3-2013.12利物浦大学计算机科学博士
产业背景： 2014.7-2016.9清华大学无锡应用技术研究院网络信息与社会管理研究中心主任助理 2008.7-2009.1 江南计算技术研究所研发工程师 2003.7-2004.7 微星电子资讯工程课系统分析师
研究兴趣： l语言、认知、大脑和人工智能 l自然语言处理 l机器学习与模式识别 l立体机器视觉与智能控制 l大数据及其应用
社会兼职： 1.国家科技部火炬中心中国火炬创业导师 2.Journal of Applied Evolutionary Computation (ISSN: 1942-3594)审稿人 3.中国计算机学会青年计算机科技论坛（CCF YOCSEF）无锡学术委员 4.无锡信息化协会专家委员会委员
专利： 1. 发明专利：一种手势识别电动轮椅操控的方法（申请号：201510846850.8）发明人、申请人 2. 发明专利：特征分辨力快速测量方法（申请号：201510061146.1）发明人
出版物： 期刊论文 1.Liu F, Wang T, Guan S-U, Man KL. Neural Incremental Attribute Learning in Groups. International Journal of Computational Intelligence Systems. 2015;8(3):490-501 [SCI,通讯作者] 2.Wang T, Guan S-U, Man KL, Park JH, Hsu H-H. Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance. Symmetry-Basel. 2015; 7(1):53-66. [SCI] 3.Wang T, Guan S-U, Man KL, Ting TO, Lisitsa A. Optimized Neural Incremental Attribute Learning For Classification Based on Statistical Discriminability. International Journal of Computational Intelligence and Applications, Imperial College Press. 2014; 13(4). [EI] 4.Wang T, Guan S-U, Man KL, Ting TO. EEG Eye State Identification Using Incremental Attribute Learning with Time Series Classification. Mathematical Problems in Engineering, Hindawi Publishing Corporation, 2014.[SCI] 5.Wang T, Guan S-U, Puthusserypady S, Wong P W H. Statistical Discriminability Estimation for Pattern Classification based on Neural Incremental Attribute Learning. International Journal of Applied Evolutionary Computation. 2014; 5(2) :37-57. 6.Wang T, Guan S-U, Liu F. Correlation-based Feature Ordering for Classification based on Neural Incremental Attribute Learning. International Journal of Machine Learning and Computing. 2012;2(6):807-11. 7.Wang T, Guan S-U, Liu F. Ordered Incremental Attribute Learning based on mRMR and Neural Networks. International Journal of Design, Analysis and Tools for Integrated Circuits and Systems. 2011;2(2):86-90. 8.麦范金, 岳晓光, 赵子强, 路英, 王挺, 岳砥柱.基于自然语言处理的智能评分系统.桂林理工大学学报.2010,30(3),426-430 [北大2008中文核心] 9.梁晓诚,岳晓光, 麦范金, 赵子强, 路英, 王挺. 基于NLP技术和相似度计算的智能搜索引擎研究.昆明理工大学学报(理工版) .2010, 35(4),76-79[北大2008中文核心] 10.梁晓诚,岳晓光, 麦范金, 赵子强, 路英, 王挺.基于自然语言处理的主观题评分算法研究.昆明理工大学学报(理工版) .2010, 35(2),81-84 [北大2008中文核心] 11.王挺,麦范金,郑安兵.基于极坐标、栅格和模糊方法的路径规划.微计算机信息, 2008,(5),219-220 [北大2004中文核心] 12.麦范金,王挺.基于双向最大匹配和HMM的分词消歧模型.现代图书情报技术,2008,(8):37-41 [北大2004中文核心] 13.麦范金,王挺.语义对立度及其计算模型的研究.中文信息学报,2008,22(4):39-42 [北大2004中文核心] 14.王挺,麦范金,程小辉.基于树结构的用例分层扩展.桂林工学院学报,2007,27(3):441-445 [北大2004中文核心] 15.王挺,麦范金,宋瑞等.汉字构字的面向对象思维与信息过滤.计算机科学,2007,34:109-112 16.王挺,麦范金,刘忠.自然语言处理及其应用前景的研究.桂林航天工业高等专科学校学报,2006,(4):19-21
会议论文 1.Wang T, Zhou W, Zhu X, Liu F, and Guan S-U. Integrated Feature Preprocessing for Classification Based on Neural Incremental Attribute Learning, proceedings of the 19th International Conference on Information Fusion (Fusion 2016), July 5-8, 2016, Heidelberg, Germany 2.Wang T, Liu F, Zhou W, Zhu X, and Guan S-U. Neural incremental attribute learning based on principal component analysis; proceedings of the 2016 IEEE International Conference on Big Data Analysis (ICBDA), F 12-14 March 2016, 2016, Hangzhou, China. 3.Wang, T., Zhu, X., Guan, S.-U., Man, K.L., and Ting, T.O.: ‘Regression based on neural incremental attribute learning with correlation-based feature ordering’, in 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM),(2015, edn.), pp. 109-113 4.Wang, T., Guan, S.-U., Ma, J., and Liu, F.: ‘Linear feature sensibility for output partitioning in ordered neural incremental attribute learning’, in 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, June 14, 2015 - June 16, 2015; (Springer Verlag, 2015, edn.), pp. 373-383 5.Wang T. Guan S-U, Hsu H-H ,Park JH , Man KL. Classification Capacity Evaluation Per Feature based on Neural Incremental Attribute Learning. The 2014 International Conference on Information Technology Convergence and Services (ITCS-14), Future Technology Research Association (FTRA) , October 16-18, 2014, Taipei. 6.Wang T. Guan S-U, Man KL, Ting TO. Time Series Classification for Electroencephalography Eye State Identification based on Incremental Attribute Learning. IEEE International Symposium on Computer, Consumer and Control (IS3C2014), 2014;10-12, June, 2014, Taichung, pp 158 - 161. 7.Wang T, Guan S-U, Liu F. Feature Selection in Growing Dimensional Space for Classification Based on Neural Incremental Attribute Learning. In: Liu X, Ye Y, editors. Proceedings of the 9th International Symposium on Linear Drives for Industry Applications, Volume 1: Springer Berlin Heidelberg; 2014. p. 501-7. 8.Wang T, Guan S-U. Feature Ordering for Neural Incremental Attribute Learning based on Fisher's Linear Discriminant. 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013, August 26-27, Hangzhou, China, IEEE, vol 2, pp 507-510. 9.Wang T, Guan S-U, Ting TO, Man KL, Liu F. Evolving linear discriminant in a continuously growing dimensional space for incremental attribute learning. 9th IFIP International Conference on Network and Parallel Computing, NPC 2012, September 6, 2012 - September 8, 2012; 2012; Gwangju, Korea, Republic of: Springer Verlag. 10.Wang T, Guan S-U, Liu F. Entropic feature discrimination ability for pattern classification based on neural IAL. 9th International Symposium on Neural Networks, ISNN 2012, July 11, 2012 - July 14, 2012; 2012; Shenyang, China: Springer Verlag. 11.Wang T, Guan S-U, Liu F. Feature discriminability for pattern classification based on neural incremental attribute learning. Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011); 2011; Tiergartenstrasse 17, Heidelberg, D-69121, Germany: Springer Verlag. 12.Wang T, Wang Y. Pattern classification with ordered features using mRMR and neural networks. 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010; 2010; Kunming, China: IEEE Computer Society. 13.Mai FJ, Wang T, Song R. Graphite-like Semantic Framework and calculation of semantic contrary degree among words. He YX, Xiao GZ, Sun MS, editors. Singapore: Colips Publ; 2007. 90-4 p. 14.Xia Y, Wang T, Mai F, Zhu F. Research on forbidden zone of virtual human in distributed virtual environment. 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007, December 10, 2007 - December 12, 2007; 2007; Chongqing, China: Inst. of Elec. and Elec. Eng. Computer Society.
项目： 2015.5-2016.6 中国博士后科学基金第57批面上项目：高维分类数据的增性学习（编号：2015M571042），项目负责人 2015.1-2017.12 国家科技支撑计划：数字音乐及影视云服务系统研发与应用示范（编号：2015BAH54F00），子课题负责人 2014.7-2015.8江苏省重点文化科研课题：文化科技融合示范基地产业效能提升研究——兼及省内三家国家级基地比较（编号：14ZD04），主要参与者 2014.1-2016.12江苏省自然科学基金项目：抵干扰高促进机器学习之研究与应用（项目编号BK20131182），主要参与者 2011. 1-2013.12国家自然科学基金项目：增性学习的理论、算法和应用（项目编号61070085），主要参与者
2016 “创业在上海”创新创业大赛决赛获资助项目：人机交互式智能轮椅与互联网健康数据平台，技术负责人 2015.7-2016.7 解放军上海某部专家系统项目，负责人 2015.6-2016.6 无锡天集文化发展有限公司项目：电子显微镜3D立体图像处理技术研发，项目负责人 2014.12-2015.6 中国医学科学院项目：医药卫生知识服务系统建设，舆情子系统研究项目负责人 | Education Background: 2014.7-2016.9 Postdoctoral Research Fellow, State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University 2009.3-2013.12 PhD. Computer Science, University of Liverpool
Industrial Background: 2014.7-2016.9 Director Assistant of Research Center of Web Information and Social Management, Wuxi Research Institute of Applied Technologies, Tsinghua University 2008.7-2009.1 Software Engineer of R&D, Jiangnan Institute of Computing Technology 2003.7-2004.7 System Analyst, Micro-Star International Co., Ltd.
Research Interests: lLanguages, Cognition, Brain, and Artificial Intelligence lNatural Language Processing lMachine Learning and Pattern Recognition lStereo Machine Vision and Intelligent Control lBig Data and its Application
Social Activities: 1.Reviewer of Journal of Applied Evolutionary Computation (ISSN: 1942-3594) 2.Academic Committee Member of Young Computer Scientists & Engineers Forum (YOCSEF), Wuxi Branch, China Computer Federation(CCF) 3.Fellow of the Expert Committee, Wuxi Informatization Association, Jiangsu, China 4.Entrepreneurship Mentor of Torch High Technology Industry Development Center, Ministry of Science and Technology, China
Patents: 1.A Smart Wheelchair Control Method based on Gesture Recognition 2.A Fast Measuring Method for Feature Discrimination Ability
Publications: Journal Papers 1.Liu F, Wang T, Guan S-U, Man KL. Neural Incremental Attribute Learning in Groups. International Journal of Computational Intelligence Systems. 2015;8(3):490-501 2.Wang T, Guan S-U, Man KL, Park JH, Hsu H-H. Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance. Symmetry-Basel. 2015; 7(1):53-66. 3.Wang T., Guan S-U, Man KL, Ting TO, Lisitsa A. Optimized Neural Incremental Attribute Learning for Pattern Classification Based on Statistical Discriminability. International Journal of Computational Intelligence and Applications. 2014; 13, 1450019 4.Wang T., Guan S-U, Man KL, Ting TO. EEG Eye State Identification Using Incremental Attribute Learning with Time Series Classification. Mathematical Problems in Engineering, Hindawi Publishing Corporation, 2014. 5.Wang T, Guan S-U, Puthusserypady S, Wong P W H.Statistical Discriminability Estimation for Pattern Classification based on Neural Incremental Attribute Learning. International Journal of Applied Evolutionary Computation. 2014;5(2):37-57. 6.Wang T, Guan S-U, Liu F. Correlation-based Feature Ordering for Classification based on Neural Incremental Attribute Learning. International Journal of Machine Learning and Computing. 2012;2(6):807-11. 7.Wang T, Guan S-U, Liu F. Ordered Incremental Attribute Learning based on mRMR and Neural Networks. International Journal of Design, Analysis and Tools for Integrated Circuits and Systems. 2011;2(2):86-90. 8.Mai FJ, Yue XG, Zhao ZQ, Lu Y, Wang T, Yue DZ. Intelligent Scoring System Based on Natural Language Processing. Journal of Guilin University of Technology. 2010;v.30(03):426-30. 9.Liang XC, Yue XG, Mai FJ, Zhao ZQ, Lu Y, Wang T. Research on Intelligent Search Engine Based on NLP Technology and Similarity Calculation. Journal of Kunming University of Science and Technology(Science and Technology). 2010;v.35;No.167(04):76-9+88. 10.Liang XC, Yue XG, Mai FJ, Zhao ZQ, Lu Y, Wang T. Algorithm Research of Subjective Question Assessment Based on Natural Language Processing. Journal of Kunming University of Science and Technology(Science and Technology). 2010;v.35;No.165(02):81-4. 11.Wang T, Mai FJ, Zheng AB. Path Planning Based on the Polar Coordinates, Grids, and Fuzzy Controller. Microcomputer Information. 2008;No.228(05):219-20+309. 12.Mai FJ, Wang T. Sense Disambiguation of Chinese Segmentation Based on Bi-direction Matching Method and HMM. New Technology of Library and Information Service. 2008;No.168(08):37-41. 13.Mai FJ, Wang T. Calculation Model of the Contrary Degree between Two Words. Journal of Chinese Information Processing. 2008(04):39-42. 14.Wang T, Mai FJ, Cheng XH. Layer Expansion of Use Case Based on Tree. Journal of Guilin University of Technology. 2007(03):442-5. 15.Wang T, Mai FJ, Song R, Ye DH, Object Oriented Thinking of Chinese Characters' Fabrication and Information Filtration. Computer Science. 2007; v34(12), DMDCH'2007 Special Issue. 16.Wang T, Mai FJ, Liu Z. A Study of Natural Language Processing and its Application Prospects. Journal of Guilin College of Aerospace Technology. 2006(04):19-21.
Conference Papers 1.Wang T, Zhou W, Zhu X, Liu F, and Guan S-U. Integrated Feature Preprocessing for Classification Based on Neural Incremental Attribute Learning, proceedings of the 19th International Conference on Information Fusion (Fusion 2016), July 5-8, 2016, Heidelberg, Germany 2.Wang T, Liu F, Zhou W, Zhu X, and Guan S-U. Neural incremental attribute learning based on principal component analysis; proceedings of the 2016 IEEE International Conference on Big Data Analysis (ICBDA), F 12-14 March 2016, 2016, Hangzhou, China. 3.Wang, T., Zhu, X., Guan, S.-U., Man, K.L., and Ting, T.O.: ‘Regression based on neural incremental attribute learning with correlation-based feature ordering’, in 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM),(2015, edn.), pp. 109-113 4.Wang T., Guan, S.-U., Ma, J., and Liu, F.: ‘Linear feature sensibility for output partitioning in ordered neural incremental attribute learning’, in 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, June 14, 2015 - June 16, 2015; (Springer Verlag, 2015, edn.), pp. 373-383 5.Wang T., Guan S-U, Hsu H-H ,Park JH , Man KL. Classification Capacity Evaluation Per Feature based on Neural Incremental Attribute Learning. The 2014 International Conference on Information Technology Convergence and Services (ITCS-14), Future Technology Research Association (FTRA) , October 16-18, 2014, Taipei. 6.Wang T., Guan S-U, Man KL, Ting TO. Time Series Classification for Electroencephalography Eye State Identification based on Incremental Attribute Learning. IEEE International Symposium on Computer, Consumer and Control (IS3C2014), 2014;10-12, June, 2014, Taichung, pp 158 - 161. 7.Wang T, Guan S-U, Liu F. Feature Selection in Growing Dimensional Space for Classification Based on Neural Incremental Attribute Learning. In: Liu X, Ye Y, editors. Proceedings of the 9th International Symposium on Linear Drives for Industry Applications, Volume 1: Springer Berlin Heidelberg; 2014. p. 501-7. 8.Wang T, Guan S-U, editors. Feature Ordering for Neural Incremental Attribute Learning based on Fisher's Linear Discriminant. 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013, August 26-27, Hangzhou, China, IEEE, vol 2, pp 507-510. 9.Wang T, Guan S-U, Ting TO, Man KL, Liu F, editors. Evolving linear discriminant in a continuously growing dimensional space for incremental attribute learning. 9th IFIP International Conference on Network and Parallel Computing, NPC 2012, September 6, 2012 - September 8, 2012; 2012; Gwangju, Korea, Republic of: Springer Verlag. 10.Wang T, Guan S-U, Liu F, editors. Entropic feature discrimination ability for pattern classification based on neural IAL. 9th International Symposium on Neural Networks, ISNN 2012, July 11, 2012 - July 14, 2012; 2012; Shenyang, China: Springer Verlag. 11.Wang T, Guan S-U, Liu F, editors. Feature discriminability for pattern classification based on neural incremental attribute learning. Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011); 2011; Tiergartenstrasse 17, Heidelberg, D-69121, Germany: Springer Verlag. 12.Wang T, Wang Y, editors. Pattern classification with ordered features using mRMR and neural networks. 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010; 2010; Kunming, China: IEEE Computer Society. 13.Mai FJ, Wang T, Song R. Graphite-like Semantic Framework and calculation of semantic contrary degree among words. He YX, Xiao GZ, Sun MS, editors. Singapore: Colips Publ; 2007. 90-4 p. 14.Xia Y, Wang T, Mai F, Zhu F, editors. Research on forbidden zone of virtual human in distributed virtual environment. 2nd Workshop on Digital Media and its Application in Museum and Heritage, DMAMH 2007, December 10, 2007 - December 12, 2007; 2007; Chongqing, China: Inst. of Elec. and Elec. Eng. Computer Society.
Projects: 2015.6-2016.9 Integrated Feature Analysis for Classification based on Incremental Attribute Learning with High-dimensional Feature Space, China Postdoctoral Science Foundation （2015M571042）, Principal Investigator 2015.1-2017.12 Cloud Computing Service System for Digital Music and Film Making, National Key Technology Support Program(2015BAH54F00), Ministry of Science and Technology of China, Co-Principal Investigator, Research on Multimedia Information Retrieval 2014.7-2015.8 Industrial Efficiency Promotion Comparison of Three Culture and Technology Fusion Model Bases in Jiangsu Province, Jiangsu Provincial Key Culture Research Project (14ZD04), Co-Principal Investigator on Data Analysis 2014.1-2016.12 Interference-less Machine Learning: Research and Applications, Jiangsu Provincial Technology and Science Foundation (BK20131182),Co-Principal Investigator 2011.1-2013.12 Theory, Algorithm and Application of Incremental Attribute Learning, National Natural Science Foundation, China Government (61070085), Co-Principal Investigator
2016 Startup In Shanghai Funded Project: Man-machine Interactive Smart Wheelchairs and Internet-based Health Big Data Platform, Technical Principal Investigator 2015.6-2016.7Expert System for Radar Signal Analysis, PLA, Principal Investigator 2015.7-2016.6 Electron Microscopy 3D Image Processing Technology Development, Wuxi 3dskyjoy Co., Ltd., Principal Investigator 2014.12-2015.6 The Construction of Medicine and Health Knowledge Service System, Institute of Medical Information, Chinese Academy of Medical Sciences, Principal Investigator on Medical Public Opinion Mining | ||
