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个人简介

教育、学术背景 02/2006-02/2008: 博士后 (美国加州大学伯克利分校电子与计算机系) 10/2002-09/2005: 博士 (英国布里斯托大学工程数学系,人工智能研究中心) 10/2001-09/2002: 硕士 (英国布里斯托大学计算机系,机器学习与数据挖掘专业) 09/1997-07/2001: 学士 (中国黑龙江大学,电子工程学院自动化系自控专业) 工作经历 01/2009-现在: 中国北京航空航天大学自动化学院副教授 北航科学技术传播研究中心/主任 03/2008-12/2008: 英国牛津 Optimor Labs 主任研究员(PI) 02/2006-02/2008: 美国加州大学伯克利分校和英国电信研究院,特聘研究员 10/2005-01/2006: 英国布里斯托大学工程数学系,讲师(助理教授) 10/2002-09/2005: 英国布里斯托大学工程数学系,研究生助教 客座职位 07/2011-08/2011: 中国深圳光启高等理工研究院,客座科学家 11/2010-06/2011: 美国卡内基梅隆大学机器人研究所,访问学者 03/2008-12/2008: 英国牛津大学统计系, 访问学者 技术咨询 2016-现在: 深圳光启集团(Kuang-Chi Group),访问人工智能科学家 2016-2017: 广州视源股份(CVTE)有限公司机器学习技术咨询顾问 2016-现在:北京荣成创新(DMCC)股份有限公司文本搜索方向技术顾问 2017-现在:北京景略集智科技有限公司机器学习顾问 奖励情况 (按重要程度排名) 01/2009: 国家教育部“新世纪优秀人才”支持计划 08/2010: 国家留学基金委高级访问学者项目 01/2010: ACM-CIVR 会议最佳论文提名奖 07/2005: 世界模糊系统(IFSA)大会最佳学生论文奖 04-06/2005: 《Information Sciences》期刊最受欢迎论文前 15 名 12/2009: 北京航空航天大学“蓝天新秀” 08/2014: 北航“冯如杯”优秀指导教师(科技论文类) 08/2009: 北航“冯如杯”优秀指导教师(科技项目类) 12/2007: 央视励志创业节目《赢在中国》前 108 名 02/2006-02/2008: 加州大学伯克利分校/英国电信 Research Fellowship 02/2005:EPSRC Travel Grant to UK-KDD 2005. 10/2002-10/2005: 布里斯托大学研究生奖学金(Postgraduate Research Scholarship) 10/2002-10/2005: 英国大学联合会海外学生奖学金(Overseas Research Studentship)

研究领域

人工智能,机器学习和数据挖掘算法研究和应用。 尤其是在自然语言处理, 语义分析和时间序列的金融数据分析。其他领域包括计算金融学和计算认知学

近期论文

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专著、编著书籍 Zengchang Qin and Yongchuan Tang (2014), Uncertainty Modeling for Data Mining: A Label Semantics Approach, Springer. ISBN 978-3-642-41250-9 Zengchang Qin and Van-Nam Huynh (2013), (Eds.) Integrated Uncertainty in Knowledge Modelling and Decision Making, Proceedings of IUKM 2013, LNAI 8032, Springer. 专著章节 Jing Yu, Zengchang Qin, and Tao Wan (2015), Topic Correlations of Cross-Modal Multimedia Information Retrieval, Multimedia Retrieval - Perspectives and Challenges, S. Murala and S.K. Vipparthi (Eds.), DOI: 10.15579/gcsr.vol4.ch3, GCSR Vol. 4, pp. 43-66. Zhuoshu Li and Zengchang Qin (2014), Impact of social network structure on social welfare and inequality, Social Networks: A Framework of Computational Intelligence, Ed. Pedrycz and Chen, Springer. Zengchang Qin, Yingsai Dong and Tao Wan (2012), Evolutionary models for agent-based complex behavior modeling, Artificial Intelligence, Evolutionary Computation and Metaheuritics, Ed. Yang, Springer. Zengchang Qin and Jonathan Lawry (2007), Fuzzy label semantics for data mining. Forging the New Frontiers: Fuzzy Pioneers II, Ed. Nikravesh, Kacprzyk and Zadeh, Studies in Fuzziness and Soft Computing, pp. 237-267, Springer. Zengchang Qin (2007), Evolutionary auction design for agent-based marketplaces, Advances in Electronic Business III - Agent Systems in Electronic Business, pp. 78-94. Ed. Li and Yuan, IGI Press. Zengchang Qin and Jonathan Lawry (2007), Knowledge discovery in a framework for modeling with words, Soft Computing for Knowledge Discovery and Data Mining, Ed. Maimon and Rokach, pp. 241-276, Springer. 期刊论文 Hanqing Zhao, Tao Wan and Zengchang Qin (2017), Hybrid clustering of data and vague concepts based on labels semantics, Annals of Operational Research, Vol. 256(2): 393–416. Tao Wan, Wanshu Zhang, Min Zhu, Jianhui Chen, Alin Achim, and Zengchang Qin (2017), Automated mitosis detection in histopathology based on non-Gaussian modeling of complex wavelet coefficients, Neurocomputing, Vol. 237: 291-303. Tao Wan, Jiajia Cao, Jianhui Chen, and Zengchang Qin (2017), Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features, Neurocomputing, Vol. 229: 34-44. Zengchang Qin, Jing Yu, Yonghui Cong and Tao Wan (2016), Topic correlation model for cross-modal multimedia information retrieval, Pattern Analysis and Applications 19(4): 1007-1022. Zengchang Qin, Yonghui Cong and Tao Wan (2016), Topic modeling of Chinese language beyond a bag-of-words, Computer Speech and Language, Vol. 40: pp.60-78. Zengchang Qin, Farhan Kahwar and Tao Wan (2016), Collective game behavior learning with probabilistic graphical models, Neurocomputing, Vol. 194: pp. 74-86. Zengchang Qin, Tao Wan, Yingsai Dong and Yu Du (2015), Evolutionary collective behavior decomposition model for time series data mining, Applied Soft Computing, Vol. 26: pp. 368-377. Jing Yu, Zengchang Qin, Tao Wan and Xi Zhang (2013), Feature Integration analysis of bag-of-features model for image retrieval, Neurocomputing, Vol. 120: pp. 355-364. Tao Wan, Chenchen Zhu and Zengchang Qin (2013), Multifocus image fusion based on robust principal component analysis, Pattern Recognition Letters, Vol. 34: pp. 1001-1008. Hongmei He and Zengchang Qin (2013), Bisociation networks analysis for business process, International Journal of Machine Learning and Cybernetics, Vol. 4 (5): pp. 419-426. Tao Wan and Zengchang Qin (2011), An application of compressive sensing for image fusion, International Journal of Computer Mathematics, Vol. 88/18: pp. 3915-3930. Zengchang Qin and Jonathan Lawry (2011), Prediction and query evaluation using linguistic decision trees, Applied Soft Computing, Vol. 11: pp. 3916-3928. Zengchang Qin and Jonathan Lawry (2007), LFOIL: Linguistic rule induction in the label semantics framework, Fuzzy Set and Systems, Vol. 159/4: pp. 435-448. Zengchang Qin and Jonathan Lawry (2005), Decision tree learning with fuzzy labels, Information Sciences, Vol. 172/1-2: pp. 91-129. 会议论文 Lintao Lv, Zengchang Qin and Tao Wan (2017), Motif iteration model for network representation, to appear in ICONIP 2017. Yaping Wang, Bixiao Cui, Zengchang Qin, Jie Lu and Tao Wan (2017) A radiomics approach for the automated identification of aggressive tumors on combined PET and multi-parametric, to appear in ICONIP 2017. Liang Li, Pengyu Li, Yifan Liu, Tao Wan, Zengchang Qin (2017), Logical parsing from natural language based on a neural translation model, to appear PACLING 2017. Tao Wan, Wanshu Zhang, Jianhui Chen and Zengchang Qin (2017), Kinetic measures for distinguishing vulnerable from stable atherosclerotic plague with dynamic contrast-enhanced MRI, ICIP 2017, 3854-3858. Yifan Liu, Zengchang Qin, Pengyu Li and Tao Wan (2017), Stock volatility prediction using recurrent neural networks with sentiment analysis, IEA/AIE 2017, LNCS 10350, pp. 192-201. Hanqing Zhao, Tao Wan, Weijia Liu and Zengchang Qin (2017), A Bayesian model of game decomposition, IEA/AIE, LNCS 10350, pp. 82-91. Zhongyang Guo, Zengchang Qin and Tao Wan (2017), Learning Sentimental Representations for Mixed-gram Terms, IHMSC 2017, pp. 351-354. Tszhang Guo, Bowen Li and Zihao Fu and Tao Wan and Zengchang Qin (2016), Learning sentimental weights of mixed-gram terms for classification and visualization, to appear in PRICAI 2016. Ying Ling, Zengchang Qin and Tao Wan (2016), Stable matching in structured networks, to appear in PRICAI 2016. Jiajia Cao, Zengchang Qin, Juan Jing, Jianhui Chen, and Tao Wan (2016), An automatic breast cancer grading method in histopathological images based on pixel-, object-, and semantic-level features, ISBI, Prague, Czech Republic. Juan Jing, Tao Wan, Jiajia Cao, and Zengchang Qin (2016), An improved hybrid active contour model for nuclear segmentation on breast cancer histopathology, ISBI, Prague, Czech Republic. Hanqing Zhao and Zengchang Qin (2015), Clustering data and vague concepts using prototype theory interpreted label semantics, IUKM-15, LNAI 9376, pp. 236-246. Ian Huang, Mei Chen, William Yang and Zengchang Qin (2015), An evolutionary model for efficient transportation networks based on minimum spanning trees, IHMSC 15, pp. 255-259. Hanqing Zhao, Zengchang Qin, Yiyu Wang and Yuxiao Wang (2015), A bag-of-phonemes model for homeplace classification of Mandarin speakers, IbPRIA, LNCS 9117, pp. 683-690. Farhan Khawar, Zengchang Qin (2014), A graphical model for collective behavior learning using minority games, PAKDD-14, pp.284-295 Sina Lin, Zengchang Qin, Renjie Liao, Tao Wan (2014), A confidence growing model for supe-resolution, ICIP-14, 3929-3933. Tao Wan, Xu Liu, Jianhui Chen, Zengchang Qin (2014), Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology, ICIP-14, 2290-2294. Renjie Liao, Jun Zhu, Zengchang Qin (2014), Nonparametric Bayesian upstream supervised multi-modal topic models, WSDM-14, pp. 493-502 Tao Wan, Zengchang Qin, Chenchen Zhu and Renjie Liao (2013), A robust fusion scheme for multifocus images using sparse features, ICASSP-13, pp. 1957-1961. Xu Liu, Zengchang Qin, Xiaofan Zhang and Tao Wan (2013), Color saliency model based on mean shift segmentation, ICASSP-13, pp. 2104-2108. Chuang Gan, Zengchang Qin, Jia Xu, Tao Wan (2013), Salient object detection in image sequences via spatial-temporal cue. VCIP-13, 1-6 Xiaofan Zhang, Zengchang Qin, Xu Liu, Tao Wan (2013) What color is an object? VCIP: 1-5 Zengchang Qin, Wei Liu, Tao Wan (2013), A bag-of-tones model with MFCC features for musical genre classification, ADMA (1), pp.564-575. Chuanqian Wang, Baochang Zhang, Zengchang Qin, Junyi Xiong (2013), Spatial weighting for bag-of-features based image retrieval. IUKM, pp. 91-100. Weifeng Zhang, Zengchang Qin, Tao Wan (2012), Semi-automatic image annotation using sparse coding, ICMLC 2012, pp. 720-724. Zunwen You, Zengchang Qin, Zheng Zheng (2012), Statistical fault localization using execution sequence, ICMLC 2012, pp. 899-905.

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