Zengchang Qin (Ph.D.)

Affiliation: Associate Professor, Intelligent Computing and Machine Learning Lab

School of Automation Science and Electrical Engineering, Beihang University, China.

Tel. : 15611040460; Emails: zcqin@buaa.edu.cn, qin_zc@126.com

Personal: Gender: Male, Nationality: Chinese, Married; DoB: 16/08/1979

Web: http://dsd.future-lab.cn/members/qin.html

Education/ Postdoctoral Training

➢ 02/2006-02/2008: Postdoctoral Fellow (University of California Berkeley, USA)

Berkeley Initiative in Soft Computing (BISC), Computer Science Division,

EECS Department, (Advisor: Prof. Lotfi. A. Zadeh)

➢ 10/2002-09/2005: Doctor of Philosophy (University of Bristol, UK)

Artificial Intelligence Group, Department of Engineering Mathematics

(Advisor: Prof. Jonathan Lawry)

➢ 10/2001-09/2002: Master of Science (University of Bristol, UK)

Machine Learning and Data Mining, Department of Computer Science

(Advisors: Prof. Peter Flach and Prof. Tim Kovacs)

➢ 09/1997-07/2001: Bachelor of Engineering (Heilongjiang University, Harbin, CHINA)

Control Engineering and Electronic Engineering, School of Electronic Engineering

Employment

➢ 01/2009-Now: Associate Professor, Director of Intelligent Computing and Machine Learning

Lab, School of Automation Science and Electrical Engineering, Beihang University (Beijing

University of Aeronautics and Astronautics), Beijing, China.

➢ 03/2008-12/2008: Principal Researcher in Mathematical Statistics and Machine Learning,

Optimor Ltd. and Visiting Fellow the Department of Statistics, University of Oxford.

➢ 02/2006-02/2008: Research Fellow, University of California Berkeley and Affiliate

Research Fellow, British Telecommunications (BT) Group

➢ 10/2005-01/2006: Temporary Lecturer in Engineering Mathematics, Department of

Engineering Mathematics, University of Bristol.

Visiting Positions

➢ 07/2011 – 09/2011: Visiting Scientist (Kuang-Chi Institute of Advanced Technology)

Sponsor: Dr Chunlin Ji, vice-president of Kuang-Chi Institute, Shenzhen, China

➢ 12/2010 –06/2011: Visiting Faculty (Carnegie Mellon University)

Sponsor: Prof. Katia Sycara, Robotics Institute, Carnegie Mellon University, USA

➢ 08-09/2007: Visiting Fellow (University of Bristol)

Sponsor: Prof. Trevor Martin, Engineering Mathematics Department, University of Bristol.

➢ 02-03/2006: Visiting Research Fellow (British Telecommunications Research)

Sponsor: Dr Ben Azvine, Intelligent Systems Research Centre, BT Research.

➢ 06-09/2002: Visiting Research Student (HP Labs Bristol)

Sponsors: Dr Dave Cliff and Dr Andrew Byde, HP European Lab, Bristol, UK.

Projects

Principal Investigator (PI)

➢ 2014-2016: Cross-modal Multimedia Retrieval, National Science Foundation of China. No.

61305047

➢ 2009-2011: Minority Game Models for Data Mining, NCET-2009, Chinese Ministry of

Education

➢ 2009-2010: Intelligent Search for Public Opinions, Fundamental Research Funds for the

Central Universities

➢ 2009-2010: Gesture Recognition for Entertainment, New Faculty Research Fund of Beihang

University

➢ 2008-2009: Customer Behavior Understanding based on Mobile Phone Bills, Optimor Labs

Ltd. Oxford, UK.

Co-investigator

➢ 2006-2008: Automated Question-answering Systems (with S. S. Beg, Z. Huang, M. Thint and

L. A. Zadeh), UC Berkeley and British Telecommunication Group, Berkeley, USA.

➢ 2002-2005: Label Semantics Framework for Data Mining (with J. Lawry), University of

Bristol, UK

➢ 2001-2002: Agent-based Market Mechanism Designs (with D. Cliff and T. Kovacs), HP Labs

and University of Bristol, UK.

Skills

➢ Research Interests

I am primarily interested in the area of Artificial Intelligence and its applications. My work is

focused on the following sub-areas of A.I.: Machine Learning, Data Mining, Uncertainty Modeling,

Natural Language Processing, Agent-based Computational Economics and Intelligent Search.

➢ Computing/Coding

Matlab/C, Java, Python, R and Prolog.

➢ Economics & Finance

Micro-economics, auction theory, game theory, computational and behavior economics and

Agent-based market mechanism (auction) designs.

➢ Languages

Mandarin Chinese (native) and English (fluent)

Awards and Honors

➢ 09/2010: International Visiting Funds to Carnegie Mellon University, USA, funded by the

China Scholar Council

➢ 07/2010: Best Paper Nomination, ACM-CIVR, Xi’ an, China.

➢ 01/2010: New Century Funding Plans for Excellent Talents (500K RMB), Chinese Ministry of

Education

➢ 11/2009: Aerospace Fellowship (faculty career sponsorship), Beihang University

➢ 12/2007: Top 108 of the 3rd Win-in-China Business Ideas Competition from over 110k

participants across the world

➢ 02/2006-02/2008: British Telecommunication BT Research Fellowship, University of

California Berkeley

➢ 07/2005: Best Student Paper Award, International Fuzzy Systems Association (IFSA) World

Congress

➢ 04-06/2005: Top 15 hottest articles in Information Sciences

➢ 05/2005: Travel Grant to IFSA World Congress, Alumni Foundation of Bristol University

➢ 04/2005: EPSRC Travel Bursaries for UK KDD Symposium, University of Liverpool

➢ 03/2005: Selected fee-waived attendant for the Workshop on Computable and Behavioral

Economics, National University of Ireland at Galway

➢ 10/2002-10/2005: Postgraduate Research Scholarship of Bristol University

➢ 10/2002-10/2005: Overseas Research Studentship (ORS), Universities UK

➢ 07/2001: Best Thesis Award of Electronic Engineering School, Heilongjiang University

➢ 11/2000: Excellent Honor Award of the Mathematical Contest in Modeling for Chinese College

Students

Consulting

➢ 2016-Now: Visiting scientist in artificial intelligence and machine learning, Kuang-Chi Group

(http://www.kuang-chi.org/)

➢ 2015-Now: Technical consultant in natural language understanding, Data Mining Consulting

Company (DMCC) (www.datamingin.cn)

➢ 2016-2017: Technical consultant in machine learning for industrial imaging, CVTE

(www.cvte.com)

Technological Media Appearance

➢ Advanced artificial intelligence will pose a serious risk to society within the next 50 years

http://www.agreelist.org/s/advanced-artificial-intelligenc-4mtqyes0jrqy

➢ Artificial intelligence: the fear is from the unknown, Paris Innovation Reviews

http://parisinnovationreview.com/2016/05/12/artificial-intelligence-the-fear-is-from-the-unknown/

➢ By What Conditions AlphaGo will Win? Tecent News and Pengpai News

http://www.thepaper.cn/newsDetail_forward_1441501

➢ Artificial Intelligence – We fear because we are ignorant, Sohu Tech News

http://mt.sohu.com/20160422/n445669057.shtml

➢ Taste Images with Your Tone – The Beauty of Machine Vision, Guokr Talks, Beijing, China

http://v.youku.com/v_show/id_XNDg1MjQyOTAw.html

➢ Data Mining and Its Importance in the Future World, GreenTech Conference, Shanghai. (Available

on YouTube: http://www.youtube.com/watch?v=aJU-An9knM8)

➢ Engineering Faculty News for Alumni (University of Bristol), Winter 2005/2006, Page 3.

www.alumni.bris.ac.uk/publications/Win06_Engineering.pdf

➢ Brief - the Bristol Engineering Faculty Newsletter, October 2005, page 15.

www.fen.bris.ac.uk/faculty/publicity/brief/oct05.pdf

➢ International Fuzzy Systems Association (IFSA) Newsletter, Fuzzy Sets and Systems, 156 (2005)

I-VI www.cmplx.cse.nagoya-u.ac.jp/~ifsa/files/newsletter/Vol12_No3.pdf

Publications

Books

➢ 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.

Book Chapters

➢ 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.

Journal Papers

➢ 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 Vol.

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.

Conference Papers

➢ 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.

➢ Zengchang Qin, Tao Wan, Hanqing Zhao (2016), A theory of modeling semantic uncertainty in

label representation. IUKM 2016: LNCS 9978, pp. 64-75.

➢ 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, PRICAI 2016,

LNCS 9810, pp. 116-124.

➢ Ying Ling, Zengchang Qin and Tao Wan (2016), Stable matching in structured networks, PAKW

2016, LNCS 9806, pp. 271-280.

➢ 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 2016: 1151-1154.

➢ Juan Jing, Tao Wan, Jiajia Cao, and Zengchang Qin (2016), An improved hybrid active contour

model for nuclear segmentation on breast cancer histopathology, ISBI 2016: 1155-1158.

➢ 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.

➢ Yonghui Cong, Zengchang Qin, Jing Yu and Tao Wan (2012), Cross-modal information retrieval-

a case study on Chinese Wikipedia, ADMA 2012, LNCS 7713, pp. 15-26.

➢ Jing Yu, Yonghui Cong, Zengchang Qin and Tao Wan (2012), Cross-modal topic correlations for

multimedia retrieval, ICPR-12, pp. 246-249

➢ Renjie Liao and Zengchang Qin (2012), ACCV, Part III, LNCS 7726, pp. 349-360.

➢ Sina Lin, Zengchang Qin Zehua Huang, and Tao Wan (2012), An efficient minimum vocabulary

construction algorithm for language modeling, IEA/AIE 2012, LNCS 7345, pp. 292-301.

➢ Qi Zhao, Zengchang Qin and Tao Wan (2011), Topic modeling of Chinese language using

character-word relations, Proceedings of the International Conference on Neural Information

Processing (ICONIP), LNCS 7064, pp. 138-147.

➢ 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, Proceedings of the

International Conference on Image Processing (ICIP) 2011, pp. 1061-1064.

➢ Tao Wan, Rejie Liao and Zengchang Qin (2011), A robust feature selection approach using low

rank matrices for beast tumors in ultrasonic images, Proceedings of the International

Conference on Image Processing (ICIP) 2011, pp. 1645-1648.

➢ Weifeng Zhang and Zengchang Qin (2011), Clustering data and imprecise concepts,

Proceedings of International Conference on Fuzzy Systems (IEEE-FUZZ), pp. 603-608.

➢ Tao Wan and Zengchang Qin (2011), Statistical multisensor image segmentation in complex

wavelet domains, Proceedings of the 16th International Conference Image Analysis and

Processing (ICIAP 2011), LNCS 6979, pp. 60-68, Springer.

➢ Yu Du, Yingsai Dong, Zengchang Qin and Tao Wan (2011), Exploring market behaviors with

evolutionary mixed-games learning model, Proceedings of International Conference on

Computational Collective Intelligence (ICCCI), Part I, LNCS 6922, pp. 244–253.

➢ 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, Proceedings

of the International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC

2011), pp. 71-74.

➢ Yu Du, Xueyao Wang, Shi-Ting Wang, Shuangshuang Xue and Zengchang Qin (2011), Hybrid

moving object detection system based on key frame extraction, Proceedings of IEEE Conference

on Industrial Electronics and Applications (ICIEA), pp. 435-439, IEEE Press.

➢ Qi Zhao and Zengchang Qin (2011), What is the basic semantic unit of Chinese language – a

computational approach based on topic models, Proceedings of International Conference on

Mathematics of Language (MOL), LNAI 6878, pp. 143–157, Springer.

➢ Weifeng Zhang, Zengchang Qin and Tao Wan (2011), Image scene categorization using

multi-bag-of-features Model, Proceedings of the International Conference on Machine Learning

and Cybernetics (ICMLC), pp. 1804-1808, IEEE Press.

➢ 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, 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), prediction trees using linguistic modeling, the

Proceedings of the International Fuzzy Systems Association World Congress (IFSA 2005),

pp.1643-1649, Springer-Tsinghua. (Best Student Paper Award)

➢ 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).

➢ Zengchang Qin and Tim Kovacs (2004), Evolution of realistic auctions, M. Withall and C. Hinde

Ed. the Proceedings of the 2004 UK Workshop on Computational Intelligence (UKCI 2004), pp.

43-50.

➢ Zengchang Qin and Jonathan Lawry (2004), ROC analysis of a linguistic decision tree merging

algorithm, M. Withall and C. Hinde Ed., the Proceedings of the 2004 UK Workshop on

Computational Intelligence (UKCI 2004), pp. 33-40.

➢ Zengchang Qin and Jonathan Lawry (2004), A Tree-structured model classification model

based on label semantics, the Proceedings of the 10th International Conference on Information

Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2004), pp.

261-268.

➢ Zengchang Qin and Jonathan Lawry (2003), Linguistic decision tree Induction, the Proceedings

of the 2003 UK workshop on Computational Intelligence (UKCI 2003), pp. 268-271.

Thesis

➢ Zengchang Qin (2005), Learning with Fuzzy Labels: A random set approach towards intelligent

data mining systems, PhD thesis, Department of Engineering Mathematics, University of Bristol

➢ Zengchang Qin (2002), Evolving Marketplace Designs by Artificial Agents, MSc thesis,

Department of Computer Science, University of Bristol

➢ Zengchang Qin (2001), A Fuzzy Logic-based Back Propagation Algorithm for Neural Networks,

Final year project, School of Electronic Engineering, Heilongjiang University, China

PC Members

➢ Editor of Journal of Computer and Communications (JCC);

➢ Editor of Journal of Signal Processing and Wireless Networks (JSPWN)

➢ Editor of International Journal of Soft Computing, Mathematics and Control (IJSCMC)

➢ PC Chair of IHMSC 2017, IHMSC 2016, IHMSC 2015, IHMSC2014, IUKM 2013, IHMSC 2013,

IHMSC 2012, IHMSC 2011

➢ Special/Session Chair of PACLING 2017, IUKM 2016, IUKM 2015, VCIP 2013, ICMLC 2012,

IUKM 2011, ISCID 2011, ICMLC 2011, IHMSC 2010, IFSA 2007, BISC-FLINT, ICMLA 2005

➢ Co-organizer of Workshops 'Future of Search 07' and 'Cognitive Computing 07' at UC Berkeley.

➢ Senior PC Member (Area Chair): IJCAI 2016, IUKM 2015

➢ PC Member: AAAI2018, IUKM 2018, RIVF2016, IUKM2016, NIPS 2015, ICML 2015, IJCAI

2013, UAI 2013, UAI 2012, ICMLC 2012, ISCID 2012, IHMSC 2012, IUKM 2011, ICMLC 2011,

IHMSC 2010

Journal Review

➢ Multidimensional Systems and Signal Processing

➢ Annals of Operations Research

➢ Journal of Approximate Reasoning

➢ IEEE Trans. on Fuzzy Systems

➢ IEEE Trans. on Evolutionary Computing

➢ IEEE Trans. on Multimedia

➢ IEEE Trans. on Systems, Man and Cybernetics

➢ IEEE Trans. on Neural Networks and Learning Systems

➢ Statistical Analysis and Data Mining

➢ Pattern Recognition

➢ Pattern Recognition Letters

➢ Neurocomputing

➢ Applied Soft Computing

➢ Asia Pacific Management Review

➢ Artificial Intelligence Research

➢ Image and Data Fusion

➢ Engineering Applications of Artificial Intelligence

➢ Automatica Sinica

➢ Journal of Computer and Communications

➢ IET Journal of Image Processing

Teaching

➢ 09/2014-: Natural Language Processing and Intelligent Search, Beihang University

(Postgraduate).

➢ 09/2013-: Artificial Intelligence – Principal and Methods, Beihang University (Postgraduate).

➢ 03/2010-: Pattern Recognition and Machine Learning, School of Automation Science and

Electrical Engineering, Beihang University (Undergraduate).

➢ 09/2009-01/2010: Practical Machine Learning Methods, School of Automation Science and

Electrical Engineering, Beihang University (Postgraduate).

➢ 10/2005-01/2006: Inductive Logic Programming, Department of Engineering Mathematics,

University of Bristol (Undergraduate).

➢ 10/2005-01/2006: Intelligent Data Modeling, Department of Engineering Mathematics,

University of Bristol (Undergraduate).