Yungang ZHU-吉林大学计算机科学与技术学院

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Lecturers

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Major:	Learning Bayesian networks from data
Course:	Data Structure
Education experience:	2007 - 2012: Ph.D, Jilin University, China 2004 - 2007: M.Sc, Jilin University, China 2000 - 2004: B.Sc, Jilin University, China
Work experience:	2012 - Present: Assistant Professor at College of Computer Science and Technology, Jilin University, China
Research project:	[1] Research on Novel Learning and Inference Approaches which Can Be Deeply Combined for Bayesian Network with Massive and High Dimensional Data. National Science Foundation of China (2016-2018). PI [2] Key Techniques for Fusing Complex Diagnosis Data based on Bayesian networks. Jilin Province Natural Science Foundation (2015-2017). PI [3] Massive Image Data Fusion based on Hierarchical Integration of Domain Knowledge and Probabilistic Graphical Models. The Opening Fund of State Key Laboratory of Applied Optics (2015-2017). PI
Papers:	[1] Yungang Zhu, Dayou Liu, Guifen Chen, Haiyang Jia, Helong Yu. Mathematical Modeling for Active and Dynamic Diagnosis of Crop Diseases based on Bayesian Networks and Incremental Learning. Mathematical and Computer Modelling, 2013, 58(3-4):514-523. [2] Yungang Zhu, Dayou Liu, Yong Li, Xinhua Wang. Selective and Incremental Fusion for Fuzzy and Uncertain Data based on Probabilistic Graphical Model. Journal of Intelligent and Fuzzy Systems, 2015,29(6):2397-2403 [3] Yungang Zhu, Dayou Liu, Haiyang Jia, D. Trinugroho. Incremental Learning of Bayesian Networks based on Chaotic Dual-Population Evolution Strategies and its Application to Nanoelectronics. Journal of Nanoelectronics and Optoelectronics, 2012,7(2):113-118. [4] Xiaokun Wang, Yungang Zhu(Corresponding Author), Jinhua Yang, Lijuan Zhang, Chenghao Jiang. An Efficient Medical Image Segmentation Approach based on Modified Evolutionary Algorithm. Journal of Medical Imaging and Health Informatics. 2015,5(7):1563-1566. [5] Dayou Liu, Bo Yang, Shang Gao, Yungang Zhu, Yong Lai. Intelligent Cyber-Physical-Social Systems and its Application to Health Care Computing. Science China-Information Sciences. 2016. [6] Yungang Zhu, Dayou Liu, Haiyang Jia, Yuxiao Huang. Structure Learning of Bayesian Network with Bee Triple-Population Evolution Strategies. International Journal of Advancements in Computing Technology. 2011,3(10):140-148. [7] Yungang Zhu, Dayou Liu, Haiyang Jia. A New Evolutionary Computation based Approach for Learning Bayesian Network. Procedia Engineering. 2011, 15(8):4026-4030. [8] Yungang Zhu, Dayou Liu, Baokui Zhou. Gaussian Convex Evidence Theory Model for Information Fusion. In Proceedings of 2012 IEEE International Conference on Cloud Computing and Intelligence Systems. pp.1373-1375.Hangzhou, China, October 2012. [9] Xuehua Zhao, Daoliang Li, Bo yang, Chao Ma, Yungang Zhu, Huiling Chen. Feature Selection based on Improved Ant Colony Optimization for Online Detection of Foreign Fiber in Cotton. Applied Soft Computing. 2014, 24:585-596. [10] Yuxiao Huang, Dayou Liu, Yungang Zhu, Haiyang Jia. A Search Algorithm for Inference in Diagnostic Bayesian Networks. Journal of Information and Computational Science, 2011,8(7): 1181-1188. [11] Yuxiao Huang, Haiyang Jia, Yungang Zhu, Dayou Liu. A Factor Graph Inference Algorithm for Diagnostic Bayesian Networks. In Proceedings of the 7th International Conference on Natural Computation (ICNC-11),pp.496-498. [12] Haiyang Jia, Juan Chen, Yungang Zhu, Dayou Liu. A Hybrid Method for Orienting Edges of Bayesian Network.ACTA Electronica Sinica, 2009, 37(8):1843-1848.
Book & teaching material	Dayou Liu, Bo Yang, Yungang Zhu, Chengmin Sun. Fundamental Theories and Methods for Processing Uncertain Knowledge. 2016. Science Press.