Introduction： Dr. Wu Qingqiang, Associate Professor in School of Software, Xiamen University, focuses on data mining, knowledge services, big data analysis and quantitative venture investment. In recent years, I have hosted more than 10 projects, including 1 national project, 2 provincial projects and 11 projects from companies, published more than 20 papers with more than 10 papers indexed by SCI or EI, compiled one textbook, and served as the peer reviewer of international journals including Journal of Information Science. I have lectured some courses including “Operating System”, “XML”, “Principles of Game Engine” and “Game Design and Program Development”, and been committed to guiding the undergraduate students in social practice and innovation. The students had been granted the national first prize of INTEL CUP, the national third prize of “HUAQI CUP” under my guidance. I have been granted the awards including Excellent Tutor of Undergraduate Student in Xiamen University, and served as the judge of Youth Science Innovation in Xiamen City, and the Tutor of University Student Entrepreneurship and Innovation in Xiamen City. Direction： Data Mining, Knowledge Services, Big-Data Analysis, Quantitative Venture Investment Project：
(1) Education game platform based on mobile cloud services (3502Z2014116, principal, technological innovation projects for early-stage companies, Science and Technology Planning of Xiamen, 2014.6-2016.6). In this project, a personalized serious game is established based on cloud service platform, forming a learning and communication bridge taking games as media between parents, teachers and students, which is mainly used for secondary, primary and early childhood education.
(2) Development of corpus system of evidence chain for scientific strategy and policy analysis (XDHT2013426A, principal, Library of Academy of Sciences, 2012.12-2013.12). In this project, the terms were extracted using term extraction model of Natural Language Processing (NLP), the terms extracted were evaluated in the context, and the terms with high relevance to analysis objects were chosen. The terms with high relevance were used for cluster analysis, and visualized using gravity model.
(3) Development tendency of internet cutting-edge technologies and its application (XDHT2013404A, principal, Xiamen Lewan Information Technology Co., Ltd, 2013.10-2018.9). In this project, the development of internet cutting-edge technologies and the newest internet game application technologies are traced, the application of these technologies in internet games is summarized, and annual analysis report is formed.
(4) Data-driven seismic reservoir prediction and development of the software system (XDHT2014149A, principal, CNPC Research Institute of Science and Technology, 2014.5-2015.4). In this project, the clustering, classification and prediction models of data mining are investigated and improved to adapt to seismic reservoir prediction, and data-driven method is used for the development of the software system.
(5) Key technologies of animation material processing in mobile terminals (2013121030, Principal, XMU basic research funding, 2013.7-2015.6). In this project, key technologies involved in animation material processing and evaluation of mobile terminals were investigated aiming at the characteristics of mobile terminals including small capacity and slow speed.
(6) The reliability measurement research on query-oriented network users’ behaviors (13CTQ011, Principal, the National Social Science Youth Funding, 2013.6-2016.6). In this project, weblog was used to establish reliability model of user behaviors aiming at the unreliability of internet user behaviors (large amount of false and machine behavior), so as to provide user behavior data with high quality for the analysis of other user behaviors.
(7) The technology monitoring application demonstration development based on STKOS (XDHT2013009A, Principal, Beijing Jiurui network technology Co., Ltd, 2012.10-2013.08). In this project, STKOS (Science and Technology Knowledge Organization System) was used to conduct hotspot and burst monitoring, so as to form hotspot and burst monitoring system based on time sequence.
(8) Research and application on text topic evolving model based on LDA and HMM (2011J01360, Principal, The Natural Science Foundation of Fujian Province of China, 2011.4-2014.3). In this project, LDA (Latent Dirichlet Allocation) and HMM (Hidden Markov Model) algorithm was used to evolving model for research topics in scientific literatures. The lifecycle stage of the topics on different time slices was obtained according to lifecycle theory of topic evolving. And then the whole topic evolving process was obtained.
(9) The research on the model of visualization intelligent retrieval model base on knowledge organization system (11YJC870027, Principal, MOE (Ministry of Education in China) Project of Humanities and Social Sciences, 2011.4-2014.3). In this project, knowledge association in Knowledge Organization System was used to provide intelligent association analysis for retrieval, which was displayed in the form of visualization.
(10) Seismic data information extraction and reservoir prediction technology research based on data mining (XDHT2012434A, Principal, Research Institute of Petroleum Exploration & Development (RIPED), 2012.11-2013.11). In this project, preprocessing, feature selection, feature extraction, clustering and classification technologies in data mining was used to analysis and process the information in seismic data, based on which reservoir prediction model was investigated, and relevant platform SeiMining1.0 was realized.
(11) Research and development on the system of Standard Knowledge Link Service (XDHT2010273A, Principal, China National Institute of Standardization (CNIS), 2011.6-2012.8). In this project, the association between the knowledge in products, standards, patents and regulations was analyzed with association analysis model, constructed and displace in the form of knowledge map.
(12) Research on TNM-G diagnostic model based on association rules (0680X12103, principal, Xiamen university research startup program, 2009.01-2011.06). In this project, association rules were used to analyze clinical data, and TNM-G diagnostic model was studied and constructed.
(13) The analysis on key areas of domestic and oversea standard data (XDHT2010256A, Principal, China National Institute of Standardization (CNIS), 2010.09-2011.09). In this project, domestic and oversea standard data in some key areas selected were analyzed to obtain the associations between the standards, and historical change and gaps between domestic and overseas standard data.
(14) Shanghai stock exchange joint research program (XDHT2011074A, Principal, Shanghai stock exchange, 2011.03-2011.11). In this project, the exponential evaluation method of Shanghai Stock Exchange was studied compared with exponential evaluation method of mature market abroad, and the exponential evaluation method of Shanghai Stock Exchange prior to 2020 was prospectively studied and designed.
(15) Software development on medicine new topic monitoring (XDHT2011147A, Principal, Institute of Medicine information, Chinese Academy of Medicine Sciences (CAMS), 2011.04-2011.11). In this project, medical topic information was obtained from Pubmed, and its characteristics were analyzed, which were used to identify new topics in medical science.
(16) Analysis methodology research on high dimension cancer gene microarray data based on integration learning (61100106，5th ranking，National science funding youth research project)
(17) Compound non-linear feedback control of non-linear output adjustment problems (20110121110017, 2rd ranking, Higher education doctoral research funding doctor supervisor program, 2012.01-2014.12)
(18) Analysis methodology research on gene microarray data based on integration feature selection (2010J05137，2rd ranking，Fujian science youth funding, 2009.11-2012.11)
(19) Service innovation model research in “Chinese technology online” higher education association (2008104，3rd ranking，Ministry of education technology development center，2008.12-2010.06)
(20) Framework research on documental information standard of China (11CTQ011，4th ranking，The National Social Science Youth Funding,，2011.06-2014.06) Paper：Wu, Q.Q. Zhang, H.B. & Lan, J. (2014) K-State Automaton Burst Detection Model Based on KOS: Emerging Trends in Cancer Field, Journal of Information Science. Wu, Q., Zhang, C., Hong, Q., & Chen, L. (2014). Topic evolution based on LDA and HMM and its application in stem cell research. Journal of Information Science, 40(5), 611-620. Hong, Q., Wang, B., Li, Q., Li, Y., & Wu, Q. (2014). GPU Accelerating Technique for Rendering Implicitly Represented Vasculatures. Bio-medical materials and engineering, 24(1), 1351-1357. Hong, Q., Chen, L., Wang, B., & Wu, Q. (2014). The extraction of vascular axis based on signed distance function. In Fifth International Conference on Graphic and Image Processing (pp. 90690-90695): International Society for Optics and Photonics. Chen, L., Fu, H., Wu, Q., & Qi, G. (2013). J2EE-based authentication system of expansive training for the university student. In Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on (pp. 389-391): IEEE. Wu, Q., Zhang, X., She, Y., Bi, Y., & Yang, B. (2013). Knowledge management approach for serious game development based on user experience. In Information Technology and Computer Application Engineering: Proceedings of the International Conference on Information Technology and Computer Application Engineering (ITCAE 2013) (pp. 69): CRC Press. Wu, Q., Zhang, C., & An, X. (2012). Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field. Journal of Information Science, 39(3), 1-14. Li, N., Yu, X., Wu, Q., & Wu, M. (2012). Oil exploration data mining image processing. In Computer Science & Education (ICCSE), 2012 7th International Conference on (pp. 1115-1120): IEEE. Liyan, C., Qingqiang, W., Guanhong, Q., & Baorong, Y. (2012). Digital Reconstruction of Ancient Architecture of Ming and Qing Dynasties Based on MAYA. In Proceedings of the 2012 3rd International Conference on E-Business and E-Government-Volume 04 (pp. 390-393): IEEE Computer Society. Maowen, W., Dong, Z. C., Weiyao, L., & Qiang, W. Q. (2012). Text topic mining based on LDA and co-occurrence theory. In Computer Science & Education (ICCSE), 2012 7th International Conference on (pp. 525-528): IEEE. An, X. Y., & Wu, Q. Q. (2011). Co-word analysis of the trends in stem cells field based on subject heading weighting. Scientometrics, 88(1), 133-144. QingQiang, W., Hua, L., & KunHong, L. (2011). Mixed-sampling approach to unbalanced data distributions: a case study involving leukemia’s document profiling. WSEAS Transactions on Information Science and Applications, 8(9), 356-379. Wu, Q., Zhang, C., Deng, X., & Jiang, C. (2011). LDA-based model for topic evolution mining on text. In Computer Science & Education (ICCSE), 2011 6th International Conference on (pp. 946-949): IEEE. Liu, K.-H., Wu, Q.-Q., & Wang, M.-H. (2011). The design of evolutionary multiple classifier system for the classification of microarray data. In Advances in Neural Networks–ISNN 2011 (pp. 513-522): Springer. Liu, K.-H., Li, B., Wu, Q.-Q., Zhang, J., Du, J.-X., & Liu, G.-Y. (2009). Microarray data classification based on ensemble independent component selection. Computers in biology and medicine, 39(11), 953-960. Qingqiang, W., & Maowen, W. (2009). Strategic intelligence model based on SOA and BPC. In Computer Science & Education, 2009. ICCSE'09. 4th International Conference on (pp. 1255-1258): IEEE. |
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