Yang LIU, Ph.D.
Assistant Professor
School of Information Engineering
Zhengzhou University
Zhengzhou, China
E-mail: ieyangliu@zzu.edu.cn
Biography
I was admitted to Xi'an Jiaotong University at the age of 15. And I received my B. S., and Ph.D. degrees from Xi'an Jiaotong University, China in 2004, and 2010, respectively. I also worked as a joint-PhD with Department of Computer Science at Blekinge Institute of Technology, Sweden from 2007 to 2009 with support of China Scholarship Council. Afterwards, I joined School of Information Engineering at Zhengzhou University in 2010. Now, I am a full-time assistant professor and Deputy Director of ICTACT lab. Furthermore, I have served as referee for a great number of journals and conferences. And I have published more than 15 journal and conference papers in the areas of granular computing based machine learning, knowledge discovery with uncertainty, pattern recognition and E-Health data mining.
Research Interests
E-health, knowledge discovery, rough sets model and its applications.
Professional Services
CCF YOCSEF Zhengzhou, Academic Member, 2010-2015
Deep Dream Corporation in DaLian, chief technical consultant, 2017-2018
Selected Publications
Yang Liu, Luyang Jiao, Guohua Bai, Boqin Feng. Feature based rule learner in noisy environment using neighbourhood rough set model [J]. International Journal of Software Science and Computational Intelligence, IGI Global, USA. 2010, 2:68–87
Yang Liu, Zhuo Zhang, Qinglei Zhou. Research on Fuzzy Rough Sets based Rule Induction Methods for Healthcare Data [J]. Chinese Computer Science. 2014, 41(12):164–167
Yang Liu, Guohua Bai, Qinglei Zhou, Elisabeth Rakus-Andersson. Rough Sets Based Inequality Rule Learner for Knowledge Discovery [C]. International Conference on Rough Sets and Current Trends in Computing. Springer, 2012, 100–105
Yang Liu, Qinglei Zhou, Elisabeth Rakus-Andersson, Guohua Bai. A fuzzy-rough sets based compact rule induction method for classifying hybrid data [C]. International Conference on Rough Sets and Knowledge Technol- ogy. Springer, 2012, 63–70
Yang Liu, Qinglei Zhou, Boqin Feng. A Weighted Fuzzy Rough Sets Model wih Hybrid-Atrribute Reduction in Granular Computing [J]. Journal of Xi’an Jiaotong University. 2011, 45(10):43–47
Yang Liu, Zhuo Zhang, Qinglei Zhou. Inequality based Diagnosis Rule Min- ing Method on Medical Decision Tables [J]. Journal of Chinese Computer Systems. 2015, 36(5):1052–1055
Yang Liu, Guohua Bai, Boqin Feng. CompactLEM2: A Scalable Rough Set based Knowledge Acquisition Method that Generates Small Number of Short Rules [C]. Du Zhang, Yingxu Wang, Witold Kinsner, (Editors) ICCI 2008. Stanford University, USA, August 14-16, 2008. 7th IEEE International Conference on Cognitive Informatics. IEEE, 2008, 215–222
Yang Liu, Guohua Bai, Boqin Feng. On Mining Rules that Involve Inequali- ties from Decision Table [C]. Du Zhang, Yingxu Wang, Witold Kinsner, (Ed- itors) ICCI 2008. Stanford University, USA, August 14-16, 2008. 7th IEEE International Conference on Cognitive Informatics. IEEE, 2008, 255–260
Yang Liu, Boqin Feng, Guohua Bai. Compact Rule Learner on Weighted Fuzzy Approximation Spaces for Class Imbalanced and Hybrid Data [C]. Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko, (Editors) RSCTC 2008. Akron, OH, USA, October 23 - 25, 2008. The Sixth Interna- tional Conference on Rough Sets and Current Trends in Computing. Springer, 2008, vol. 5306 of Lecture Notes in Computer Science, 262–271
Yang Liu, Guohua Bai, Boqin Feng. Multi-agent Based Multi-knowledge Acquisition Method for Rough Set [C]. Guoyin Wang, Tian rui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yiyu Yao, (Editors) RSKT 2008. The Third International Conference on Rough Sets and Knowl- edge Technology. Springer, 2008, vol. 5009 of Lecture Notes in Computer Science, 140–147
Grants
National Natural Science Foundation of China, under grant 61572444
National Natural Science Foundation of China, under grant 61130304
Swedish provincial funding, Rough set based knowledge acquisition method and it's application in E-health systems
Awards & Honors
The second prize of the academic award for natural scientific paper in Henan Province, China.
Participates in the sino-foreign joint project for doctoral study supported by the Chinese government