教师详情
秦曾昌
基本资料
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出生年月 |
1979年10月 |
籍贯 |
黑龙江 |
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职称 |
副教授 |
学历 |
博士 |
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电话 |
010－82316875 |
实验室 |
智能计算与机器学习 |
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电子信箱 |
zcqin 'AT' buaa 'DOT' edu 'DOT' cn |
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实验室网址 |
http://icmll.buaa.edu.cn | ||
| 个人主页 | http://icmll.buaa.edu.cn/members/zcq/ | ||
学习经历
2006/02-2008/02: 美国加州大学伯克利分校 (UC Berkeley)，电子与计算机系（博士后）
2002/10-2005/09: 英国布里斯托大学 (University of Bristol)，工程数学系人工智能组（博士）
2001/10-2002/09: 英国布里斯托大学 (University of Bristol)，计算机系（硕士）
1997/09-2001/07: 中国哈尔滨黑龙江大学，自动化系（学士）
工作经历
2009/01 - 现在： 中国北京航空航天大学，自动化学院，副教授
2010/11-2011/05: 美国卡内基梅隆大学 (CMU)，机器人研究所 (RI)， 访问学者 (Visiting Scholar)
2009/03-2009/12: 英国牛津大学，统计系， 访问学者 (Visiting Fellow)
2009/03-2009/12: 英国牛津 Optimor Labs, 主任研究员 (Principal Researcher) （兼）
2006/02-2008/02: 英国电信集团 (British Telecom)，智能系统研究中心, 访问研究员（兼）
2005/10-2006/01: 英国布里斯托大学，工程数学系讲师/助理教授 (Lecturer)
2002/10-2005/10: 英国布里斯托大学，研究生助教 (Teaching Assistant) （兼）
2002/06-2002/09: 惠普欧洲实验室 (HP Labs Bristol), 实习学生 (Intern)
研究领域
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1. 机器学习，数据挖掘及其应用
2. 自然语言理解，多媒体数据挖掘和智能搜索
3. 计算金融，多代理博弈模型的数据挖掘
特殊说明2： 如果希望报考ICMLL的研究生，请发秦老师个人邮箱并附带简历。
特殊说明3：如果有研究单位，个人和企业对本实验的研究感兴趣，请您发邮件直接联系。本实验室仍在发展阶段，非常希望能有更多的科研支持和合作。
在研科研项目
荣誉及奖励
2010：ACM CIVR, Best Paper Nomination
2010：国家留学基金委资助访问计划
2010：北航冯如杯最佳指导教师
2010：北航 “航空百人” 计划2009：北航 “蓝天新秀”
2009：中国教育部新世纪优秀人才支持计划（NCET）
2007：中国央视《赢在中国》前108，（CCTV Top 108）
2006：BT/BISC Fellowship
2005: IFSA World Congress, Best Student Paper Award
2005：EPSRC Travel Grant
2002: ORS Award
开授课程
本科生课程：模式识别与机器学习
人工智能
研究生课程：Practical Machine Learning （英语授课）
人工智能
教学及科研成果
Book ChaptersZengchang Qin and Jonathan Lawry (2007), Fuzzy label semantics for data mining. Forging the New Frontiers: Fuzzy Pioneers II, Ed. M. Nikravesh, J. Kacprzyk, and L. A. Zadeh, Studies in Fuzziness and Soft Computing, pp. 269-297, 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. E. Y. Li and S.-T. 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.
Journal Papers
Zengchang Qin and Jonathan Lawry (2011), Prediction and query evaluation using linguistic decision trees, Applied Soft Computing, Vol. 11, pp. 3916-3928.
Tao Wan and Zengchang Qin (2011), An Application of Compressive Sensing for Image Fusion, to appear in International Journal of Computer Mathematics.
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.
Conference Papers
Xiaoli Yuan, Jing Yu, Zengchang Qin and Tao Wan (2011), A bag-of-features model with integrated SIFT-LBP features for content-based image retrieval, accepted by International Conference on Image Processing (ICIP) 2011.
Tao Wan, Rejie Liao and Zengchang Qin (2011), A robust feature selection approach using low rank matrices for beast tumors in ultrasonic images, accepted by by International Conference on Image Processing (ICIP) 2011.
Qi Zhao and Zengchang Qin (2011), What is the basic semantic unit of Chinese language – a computational approach based on topic models, accepted by International Conference on Mathematics of Language (MOL) 2011.
Renjie Liao, Tao Wan and Zengchang Qin (2011), Classification of Benign and Malignant Breast Tumors in Ultrasound Images Based on Multiple Sonographic and Textural Features, accepted by IHMSC 2011.
Weifeng Zhang, Zengchang Qin and Tao Wan (2011), Image Scene Categorization Using Multi-bag-of-features Model, submitted to ICMLC 2011.
Yu Du, Xueyao Wang, Shi-Ting Wang, Shuangshuang Xue and Zengchang Qin (2011), Hybrid moving object detection system based on key frame extraction, accepted by ICIEA 2011.
Tao Wan and Zengchang Qin (2011), Statistical Multisensor Image Segmentation in Complex Wavelet Domains, accepted by ICIAP 2011.
Ganyi Li, Ying Ma, Yingsai Dong and Zengchang Qin (2011), Behavior learning in minority games, the Proceedings of Collaborative Agents - Research and Development (CARE 2009/2010), LNCS 6066, pp. 125-136, Springer.
Yingliang Lu, Weifeng Zhang, Zengchang Qin, Yao Meng and Hao Yu (2010), DeftRFID: A Lightweight and Distributed RFID Middleware, the Proceedings of International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2010), pp. 181-186.
Weifeng Zhang and Zengchang Qin (2010), A dissimilarity measure of logical expressions, the Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2010), pp. 109-203, IEEE Press.
Renjie, Liao, Xueyao Wang and Zengchang Qin (2010), A Bayesian approach for serial crime prediction, the Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2010), pp. 1757-1762, IEEE Press.
Yunkai Zhang and Zengchang Qin (2010), A topic model of observing Chinese characters, the Proceedings of the International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2010), Vol. 2, pp. 7-10, IEEE Press.
Renjie Liao, Xueyao Wang and Zengchang Qin (2010), A novel quantum-inspired genetic algorithm with expanded solution space, the Proceedings of the Int. Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2010), Vol. 2, pp. 192-195, IEEE Press.
Tao Wan and Zengchang Qin (2010), A new technique for summarizing video sequences through histogram evolution, the Proceedings of the International Conference on Signal Processing and Communications (SPCOM 2010), pp .1-5.
Ying Ma, Guanyi Li, Yingsai Dong and Zengchang Qin (2010), Minority game data mining for stock market predictions, the Proceedings of International Workshop on Agents and Data Mining Interaction (ADMI), LNCS 5980, pp. 178-189, Springer.
Hongmei He and Zengchang Qin (2010), A k-hyperplane based neural network for non-linear regression, The 9th IEEE International Conference on Cognitive Informatics (ICCI 2010), pp. 783-787, IEEE Press.
Tao Wan and Zengchang Qin (2010), An application of compressive sensing for image fusion， the ACM International Conference on Image and Video Retrieval (CIVR 2010), pp. 3-9, ACM Press. (Best Paper Nomination)
Zengchang Qin, Marcus Thint and Zhiheng Huang (2009), Ranking answers by hierarchical topic models, the Proceedings of IEA/AIE 2009, LNAI 5579, pp. 103–112, Springer.
Zhiheng Huang, Marcus Thint and Zengchang Qin (2008), Question classification using head words and their hypernyms, The Proceedings of Conference on Empirical Methods on Natural Language Processing (EMNLP 2008), pp 927-936, ACL.
M. M. Sufyan Beg, Marcus Thint and Zengchang Qin (2007), PNL-enhanced restricted domain question answering system, Proceedings of IEEE-FUZZ, pp. 1277-1283, London, UK, IEEE Press.
Marcus Thint, M. M. Sufyan Beg and Zengchang Qin (2007), Precisiating natural language for a question answering system, the 11th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2007).
Zengchang Qin, Marcus Thint and M.M. Sufyan Beg (2007), Deduction engine designs for PNL-based question answering systems, Foundations of Fuzzy Logic and Soft Computing (IFSA 2007), LNAI 4529, pp. 253-262, Springer.
Zengchang Qin and Jonathan Lawry (2007), Fuzziness and performance: an empirical study with linguistic decision trees, Foundations of Fuzzy Logic and Soft Computing (IFSA 2007), LNAI 4529, pp. 407-416, Springer.
Zengchang Qin (2006), Naive Bayes classification given probability estimation trees, the Proceedings of the 5th International Conference on Machine Learning and Applications (ICMLA 2006), pp. 34-39, IEEE Press.
Zengchang Qin (2006), Market mechanism designs with heterogeneous trading agents, the Proceedings of the 5th International Conference on Machine Learning and Applications (ICMLA 2006), pp. 69-74, IEEE Press.
Zengchang Qin and Jonathan Lawry (2006), High level fuzzy labels for vague concepts, the Proceedings of the Third International Conference on Soft Methods in Probability and Statistics (SMPS 2006), Advances in Soft Computing 6, pp. 317-324, Springer.
Zengchang Qin (2005), ROC analysis for predictions made by probabilistic classifiers, the Proceedings of the Fourth IEEE International Conference on Machine Learning and Cybernetics (ICMLC 2005), pp. 3119-3124, IEEE Press.
Zengchang Qin and Jonathan Lawry (2005), Linguistic rule induction based on a random set semantics, the Proceedings of the International Fuzzy Systems Association World Congress (IFSA 2005), pp. 1398-1404, Springer-Tsinghua.
Zengchang Qin and Jonathan Lawry (2005), Hybrid Bayesian estimation trees based on label semantics, the Eighth Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2005), LNAI 3571, pp. 896-907, Springer.
Zengchang Qin and Tim Kovacs (2005), Evolutionary designs of mechanisms for the markets with heterogeneous agents, Presented at the Tenth Annual Workshop on Economic Heterogeneous Interacting Agents (WEHIA 2005).
学术与社会兼职
2010－至今：北航科技传播研究中心秘书长
2010－至今：中国运筹学会不确定系统分会理事
2010－至今：中国科协青少科技中心评审专家
ICMLL已毕业学生
2009-2010: 李观一 (自动化10届), PhD Student, Intelligent Systems Lab, University of Bristol, UK
2009-2010: 马营 (自动化10届), PhD Student, Dept. of EE, HKUST, Hong Kong
2009-2010: 张昀凯 (软院10届), Master Student, SCS, Carnegie Mellon University (CMU), US
2009-2010: 廖仁杰 (自动化11届), 北航自动化学院研究生，2010年冯如杯一等奖，2010, 2011年
美国数学建模二等奖, 微软Image Cup三等奖
2010-2011: 杜宇 (自动化11届), Master Student, New York University
2010-2011: 王雪瑶(自动化11届)，Master Student, University of Michigan