Book Chapters

(1) 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.

(2) 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.

(3) 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.

(4) Zengchang Qin, Yingsai Dong and Tao Wan (2013), Evolutionary models for agent-based complex behavior modeling, Artificial Intelligence, Evolutionary Computation and Metaheuritics, Ed. Yang, pp. 601-631, Springer.

(5) 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, pp. 123-144, Springer.

Journal Papers

(1) Zengchang Qin and Jonathan Lawry (2005), Decision tree learning with fuzzy labels, Information Sciences, Vol. 172/1-2: pp. 91-129.

(2) 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.

(3) Zengchang Qin and Jonathan Lawry (2011), Prediction and query evaluation using linguistic decision trees, Applied Soft Computing, Vol. 11: pp. 3916-3928.

(4) 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. 

(5) 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.

(6) 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.

(7) 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.

(8) Zengchang Qin and Tao Wan (2013), Hybrid Bayesian estimation tree learning with discrete and fuzzy labels. Frontiers of Computer Science Vol. 7(6): pp. 852-863.

(9) 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.

(10) Zengchang Qin, Farhan Khawar and Tao Wan (2016), Collective game behavior learning with probabilistic graphical models, Neurocomputing Vol. 194:74-86.

(11) Zengchang Qin, Yonghui Cong and Tao Wan (2016), Topic modeling of Chinese language beyond a bag-of-words, Computer Speech & Language, Vol. 40: 60-78.

(2) 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.

(3) 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.

(4) 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.

(5) 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).

(6) 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.

(7) 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.

(8) 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)

(9) 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.

(10) 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.

(11) Zengchang Qin (2006), Market mechanism designs with heterogeneous trading agents, ICMLA 2006, pp. 69-74, IEEE Press.

(12) Zengchang Qin (2006), Naive Bayes classification given probability estimation trees, ICMLA 2006, pp. 34-39, IEEE Press.

(13) 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.

(14) 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.

(15) 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.

(16) 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).

(17) Zhiheng Huang, Marcus Thint and Zengchang Qin (2008), Question classification using head words and their hypernyms, EMNLP 2008, pp 927-936, ACL.

(18) 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.

(19) 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)

(20) 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.

(21) 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.

(22) 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.

(23) 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. 

(24) 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.

(25) 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.

(26) 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.

(27) 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.

(28) 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.

(29) 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.

(30) 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 68, pp. 143–157, Springer.

(31) 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.

(32) 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. 

(33) 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.

(34) Tao Wan and Zengchang Qin (2011), Statistical multisensor image segmentation in complex wavelet domains, ICIAP 2011, LNCS 6979, pp. 60-68, Springer.

(35) Weifeng Zhang and Zengchang Qin (2011), Clustering data and imprecise concepts, IEEE-FUZZ, pp. 603-608.

(36) Tao Wan, Rejie Liao and Zengchang Qin (2011), A robust feature selection approach using low rank matrices for beast tumors in ultrasonic images, ICIP 2011, pp. 1645-1648.

(37) 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, ICIP 2011, pp. 1061-1064.

(38) Qi Zhao, Zengchang Qin and Tao Wan (2011), Topic modeling of Chinese language using character-word relations, ICONIP 2011, LNCS 7064, pp. 138-147.

(39) 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.

(40) Renjie Liao and Zengchang Qin (2012), Image super-resolution using local learnable kernel regression , ACCV, Part III, LNCS 7726, pp. 349-360.

(41) Jing Yu, Yonghui Cong, Zengchang Qin and Tao Wan (2012), Cross-modal topic correlations for multimedia retrieval, ICPR, pp. 246-249

(42) 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.

(43) Zunwen You, Zengchang Qin, Zheng Zheng (2012), Statistical fault localization using execution sequence, ICMLC 2012, pp. 899-905.

(44) Weifeng Zhang, Zengchang Qin, Tao Wan (2012), Semi-automatic image annotation using sparse coding, ICMLC 2012, pp. 720-724. 

(45) Xu Liu, Zengchang Qin, Xiaofan Zhang and Tao Wan (2013), Color saliency model based on mean shift segmentation, ICASSP, pp. 2104-2108.

(46) Tao Wan, Zengchang Qin, Chenchen Zhu and Renjie Liao (2013), A robust fusion scheme for multifocus images using sparse features, ICASSP, pp. 1957-1961.

(47) Chuanqian Wang, Baochang Zhang, Zengchang Qin, Junyi Xiong (2013), Spatial Weighting for Bag-of-Features Based Image Retrieval. IUKM 2013: 91-100 .

(48) Xiaofan Zhang, Zengchang Qin, Xu Liu and Tao Wan (2013), What color is an object?, VCIP 2013.

(49) Chuang Gan, Zengchang Qin, Jia Xu and Tao Wan (2013), Salient object detection in image sequences via spatial-temporal cue, VCIP 2013.

(50) Zengchang Qin, Wei Liu and Tao Wan (2013), A Bag-of-Tones Model with MFCC Features for Musical Genre Classification. ADMA (1) 2013: pp. 564-575.

(51) Renjie Liao, Jun Zhu and Zengchang Qin (2014), Nonparametric Bayesian upstream supervised multi-modal topic models. WSDM 2014: pp. 493-502.

(52) Farhan Khawar, Zengchang Qin (2104), A graphical model for collective behavior learning using minority games. PAKDD 2014 (2): pp. 284-295.

(53) Sina Lin, Zengchang Qin, Renjie Liao and Tao Wan (2014), A confidence growing model for super-resolution, ICIP 2014: pp. 3929-3933. 

(54) Tao Wan, Xu Liu, Jianhui Chen and Zengchang Qin (2014), Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology, ICIP 2014: 2290-2294.

(55) Hanqing Zhao and Zengchang Qin (2014), Tunerank model for main melody extraction from multi-part musical scores. IHMSC 2014: pp. 176-180.

(56) Hanqing Zhao and Zengchang Qin (2015), Clustering data and vague concepts using prototype theory interpreted label semantics. IUKM 2015, LNCS 9376: pp. 236-246.

(57) Hanqing Zhao and Zengchang Qin (2015), A bag-of-phonemes model for homeplace classification of Mandarin speakers. IbPRIA 2015, LNCS 9117: pp. 683-690.

(58) 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.

(59) 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.

(60) Ying Ling, Tao Wan and Zengchang Qin (2016), Stable matching in structured networks, PKAW 2016: 271-280.

(61) Tshang Guo, Bowen Li, Zihao Fu, Tao Wan and Zengchang Qin (2016), Learning sentimental weights of mixed-gram terms for classification and visualization, PRICAI 2016: 116-124.