Name: Liu Xiabi
Discipline: Computer Application Technology
Title:
Tel: 010-68913500
E-mail: liuxiabi@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, Haidian District, Beijing Personal Information
Liu Xiaobi, male, Doctor, Associate professor, doctoral supervisor. He was born in October 1972. In March 2005, he received his Ph.D. degree in Computer Application Technology from Beijing Institute of Technology. The doctoral dissertation is an excellent doctoral dissertation of Beijing Institute of Technology. From March 2005 to July 2008, he was a lecturer at the School of Computer Science, Beijing Institute of Technology. In July 2008, he was promoted to associate professor. In 2009, he was selected into the New Century Outstanding Talents Support Program of the Ministry of Education.
At present, he teaches the undergraduate course "Foundation of Artificial Intelligence" and the graduate course "Artificial Intelligence" and "Computer Vision". He has guided (including assisting) 13 doctoral students, 18 master students, 3 national innovation programs for college students, 1 National "Challenge Cup" extracurricular academic science and technology works competition for college students, 6 students of Beijing high school students "Soaring Plan", and 4 students of early training program for young reserve talents. His current research interests include machine learning, information retrieval, pattern recognition, and computer vision. It has been published in IEEE JBHI, Pattern Recognition, Neurocomputing, Journal of Automation, Journal of Software and other first-class academic journals at home and abroad and GECCO, ICDAR, ICME, SPIE Published more than 30 papers as the first author or corresponding author in important international academic conferences such as MI, published 1 artificial intelligence textbook, presided over more than 10 scientific research projects such as the National Natural Science Foundation, the National 973 program project, and the Ministry of Education's New Century Talent Support program, presided over 1 school education reform project, and obtained 4 national invention patents. Won the second prize of Weapons science and technology, the second prize of excellent teaching materials in Ordnance Engineering colleges, the first prize and the third prize of excellent education and teaching achievements of Beijing Institute of Technology, and guided students to win the second prize of National "Challenge Cup".
Please see http://isc.cs.bit.edu.cn/MLMR for more information.

Research Direction
Machine Learning, information retrieval, pattern recognition, Computer vision

Personal Information
Liu Xiaobi, male, Doctor, Associate professor, doctoral supervisor. He was born in October 1972. In March 2005, he received his Ph.D. degree in Computer Application Technology from Beijing Institute of Technology. The doctoral dissertation is an excellent doctoral dissertation of Beijing Institute of Technology. From March 2005 to July 2008, he was a lecturer at the School of Computer Science, Beijing Institute of Technology. In July 2008, he was promoted to associate professor. In 2009, he was selected into the New Century Outstanding Talents Support Program of the Ministry of Education.
At present, he teaches the undergraduate course "Foundation of Artificial Intelligence" and the graduate course "Artificial Intelligence" and "Computer Vision". He has guided (including assisting) 13 doctoral students, 18 master students, 3 national innovation programs for college students, 1 National "Challenge Cup" extracurricular academic science and technology works competition for college students, 6 students of Beijing high school students "Soaring Plan", and 4 students of early training program for young reserve talents. His current research interests include machine learning, information retrieval, pattern recognition, and computer vision. It has been published in IEEE JBHI, Pattern Recognition, Neurocomputing, Journal of Automation, Journal of Software and other first-class academic journals at home and abroad and GECCO, ICDAR, ICME, SPIE Published more than 30 papers as the first author or corresponding author in important international academic conferences such as MI, published 1 artificial intelligence textbook, presided over more than 10 scientific research projects such as the National Natural Science Foundation, the National 973 program project, and the Ministry of Education's New Century Talent Support program, presided over 1 school education reform project, and obtained 4 national invention patents. Won the second prize of Weapons science and technology, the second prize of excellent teaching materials in Ordnance Engineering colleges, the first prize and the third prize of excellent education and teaching achievements of Beijing Institute of Technology, and guided students to win the second prize of National "Challenge Cup".
Please see http://isc.cs.bit.edu.cn/MLMR for more information.

Personal Information
Liu Xiaobi, male, Doctor, Associate professor, doctoral supervisor. He was born in October 1972. In March 2005, he received his Ph.D. degree in Computer Application Technology from Beijing Institute of Technology. The doctoral dissertation is an excellent doctoral dissertation of Beijing Institute of Technology. From March 2005 to July 2008, he was a lecturer at the School of Computer Science, Beijing Institute of Technology. In July 2008, he was promoted to associate professor. In 2009, he was selected into the New Century Outstanding Talents Support Program of the Ministry of Education.
At present, he teaches the undergraduate course "Foundation of Artificial Intelligence" and the graduate course "Artificial Intelligence" and "Computer Vision". He has guided (including assisting) 13 doctoral students, 18 master students, 3 national innovation programs for college students, 1 National "Challenge Cup" extracurricular academic science and technology works competition for college students, 6 students of Beijing high school students "Soaring Plan", and 4 students of early training program for young reserve talents. His current research interests include machine learning, information retrieval, pattern recognition, and computer vision. It has been published in IEEE JBHI, Pattern Recognition, Neurocomputing, Journal of Automation, Journal of Software and other first-class academic journals at home and abroad and GECCO, ICDAR, ICME, SPIE Published more than 30 papers as the first author or corresponding author in important international academic conferences such as MI, published 1 artificial intelligence textbook, presided over more than 10 scientific research projects such as the National Natural Science Foundation, the National 973 program project, and the Ministry of Education's New Century Talent Support program, presided over 1 school education reform project, and obtained 4 national invention patents. Won the second prize of Weapons science and technology, the second prize of excellent teaching materials in Ordnance Engineering colleges, the first prize and the third prize of excellent education and teaching achievements of Beijing Institute of Technology, and guided students to win the second prize of National "Challenge Cup".
Please see http://isc.cs.bit.edu.cn/MLMR for more information.

Representative Academic Achievements
Textbook
[1] Liu Xiabi. Introduction to Artificial Intelligence-Methods and Systems, Beijing: National Defense Industry Press, 2008.

Journal Articles
[1] Xiabi Liu, Ling Ma, Li Song, Yanfeng Zhao, Xinming Zhao, and Chunwu Zhou. Recognizing Common CT Imaging Signs of Lung Diseases Through a New Feature Selection Method Based on Fisher Criterion and Genetic Optimization. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 00, NO. 00, 2014. In press. The Digital Object Identifier (DOI) : 10.1109 / JBHI. 2014.2327811. < br > [2] Han Wang, Xiabi Liu, Xinxiao Wu, Yunde Jia. Cross-domain structural model for video event annotation via web images. Multimedia Tools and Applications, 2014, in press, Digital Object Identifier (DOI) 10.1007/s11042-014-2175-z
[3] Yuchai Wan, Xiabi Liu, Feifei Han, Kunqi Tong, Yu Liu. Online Learning of Binary Classifiers for Improving Google Image Search Results. Acta Automatica Sinica, August 2014, 40(8): 1699-1708.
[4] Wang Yanjie, Liu Xiabi, Jia Yunde. An image representation method of visual word soft histogram. Journal of Software, 2012,23(7):1787−1795.
[5] Xuefeng Chen, Xiabi Liu, Yunde Jia. Discriminative Structure Selection Method of Gaussian Mixture Models with its Application to Handwritten Digit Recognition. Neurocomputing, 2011, 74(6): 954-961.
[6] Xiabi Liu, Hui Fu, Yunde Jia. Gaussian Mixture Modeling and Learning of Neighboring Characters for Multilingual Text Extraction in Images. Pattern Recognition, 2008, 41(2): 484-493.
[7] Fu Hui, Liu Xiabi, Jia Yunde. Text extraction based on maximum-minimum similarity learning method. Journal of Software, 2008, 19(3): 621−629.
[8] Xiabi Liu, Yunde Jia. A bottom-up algorithm for finding principal curves with applications to image skeletonization. Pattern Recognition, 2005, 38(7): 1079-1085.
[9] Liu Xiaobi, Jia Yunde. Formation rule and extraction method of Chinese pen segment. Journal of Computer Science, 2004, 27(3): 389-395.

International Conference Papers
[1] Yi Wu, Xiabi Liu, Lunhao Guo. A New Ensemble Clustering Method based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling. International Conference on Neural Information Processing (ICONIP2014), Kuching,, Sarawak, Malaysia, 03-06 November 2014.
[2] GAO Yan and Liu Xiabi. INTEGRATING BAYESIAN CLASSIFIER INTO RANDOM WALK OPTIMIZER FOR INTERACTIVE IMAGE SEGMENTATION ON MOBILE PHONES. 2014 IEEE International Conference on Multimedia and Expo Workshop (ICMEW 2014), Chengdu, China, 13-19 July, 2014.
[3] Ling Ma, Xiabi Liu, Li Song, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao. A New Classifier Fusion Method Based on Confusion Matrix and Classification Confidence for Recognizing Common CT Imaging Signs of Lung Diseases. to appear in SPIE International Symposium on Medical Imaging (MI 2014), February 15-20, 2014, San Diego, California, USA.
[4] Li Song, Xiabi Liu, Ali Yang, Kunpeng Pang, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao. A Novel Approach of Computer-Aided Detection of Focal Ground-Glass Opacity in 2D Lung CT images. Proceedings of SPIE International Symposium on Medical Imaging (MI 2013), February 9-14, 2013, Lake Buena Vista (Orlando Area), Florida, USA.
[5] Yuchai Wan, Xiabi Liu, Kunqi Tong, Xue Wei, Yi Wu, Fei Guan, Kunpeng Pang. GMM-ClusterForest: A Novel Indexing Approach for Multi-Features Based Similarity Search in High-Dimensional Spaces. Proceeding of the 19th International Conference on Neural Information Processing (ICONIP2012). pp. 210–217, November 12-15, 2012. Doha, Qatar.
[6] Li Song, Xiabi Liu, Ling Ma, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao. Using HOG-LBP Features and MMP Learning to Recognize Imaging Signs of Lung Lesions. Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), June 20-22, 2012, Roma, Italy.
[7] Yanjie Wang, Xiabi Liu, Yunde Jia. Automatic Image Annotation with Cooperative Concept-specific and Universal Visual Vocabularies. Proceedings of 16th ACM International Conference on Multimedia Modeling (MMM 2010), pp. 262-272, 1.6-8, 2010.Chongqing, China.

National Invention Patent
[1] LIU Xiabi, Wan Yuchai, Yang Ali et al. A Web image search engine and an implementation method thereof, Patent No. : 201110030471.3.
[2] LIU Xiabi, Zhou Shuangquan, Cao Yue, ZHONG Xinyu, et al. A laser guided video passenger flow detection method and equipment, Patent No. : 201010110818.0.
[3] Jia Yunde, Liu Xiaobi. A Chinese character recognition method based on structural model, National Invention Patent No. : 02125949.6
[4] Jia Yunde, Liu Xiaobi. A Chinese character pen segment extraction method based on segmentation rule, National Invention Patent No. : 02125948.8
Awards received
[1] Exploration and Practice of vertical Training Mechanism for innovative talents, First Prize of the 13th Education and Teaching Achievement Award, Beijing Institute of Technology, 2012.11. [2] Research on "Artificial Intelligence" innovative Teaching Model Based on Network Teaching and Practice Platform, Third Prize of the 13th Education and Teaching Achievement Award, Beijing Institute of Technology, 2012.11. [3] Intelligent advertising System with audience characteristics perception and statistical functions, Second prize of the 12th "Challenge Cup" National College Students Extracurricular Academic Science and Technology Works Competition, 2011.10. (Advisor)
[4] Introduction to Artificial Intelligence-Methods and Systems-Second Prize of Excellent Textbooks for Ordnancy-Engineering Universities, 2009.04.
[5] High Speed and High precision stereo Vision System Technology Research, Second Prize of Science and Technology Award of North Industries Group Corporation, 2006.12.