Name: Qianli MA
Introduction:
Associate Professor
Room B7-513
School of Computer Science & Engineering
South China University of Technology
Guangzhou Higher Education Mega Centre
510006, Guangzhou
P. R. China
Tel: 8620-39380297-3513
E-mail: qianlima@scut.edu.cn
Academic Qualifications
2013.09－now Associate Professor School of Computer Science & Engineering, South China University of Technology (SCUT)
2016.03－2017.03 Visiting Scholar Department of Computer Science and Engineering, University of California, San Diego (UCSD)
2008.09－2013.08 Assistant Professor School of Computer Science & Engineering, South China University of Technology (SCUT)
2003.09－2008.07 Ph.D. School of Computer Science & Engineering, South China University of Technology (SCUT)
1998.09－2002.07 B.Eng College of Water Conservancy and Hydropower Engineering Hohai University (HHU)
Areas of Professional Interest
Machine Learning Algorithms, Data Mining Methodologies, Neural Networks, and their applications.
Scientific Honors and Professional Services
Member, IEEE
Member, ACM
Senior member, CCF
Member, CAAI
Publications
Selected Journal Papers
(1)Qianli Ma, Lifeng Shen, Weibiao Chen, et al. Functional echo state network for time series classification. Information Sciences, 2016, 373: 1-20.
(2)Wei Jia, Meng Meng, Wang Jiabing, Ma Qianli, Wang Xuan. Adaptive Semi-Supervised Dimensionality Reduction with Sparse Representation using Pairwise Constraints. Neurocomputing, 2016, 177 (2): 564–571.
(3)Jinfeng Yang, Yong Xiao, Jiabing Wang, Qianli Ma, and Yanhua Shen. A Fast Clustering Algorithm for Data with a Few Labeled Instances. Computational Intelligence and Neuroscience, 2015, 196098:1-10.
(4)Meng Meng, Wei Jia, Wang Jiabing, Ma Qianli, Wang Xuan. Adaptive semi-supervised dimensionality reduction based on pairwise constraints weighting and graph optimizing. International Journal of Machine Learning and Cybernetics, 2015: 1-13.
(5)Qianli Ma, Weibiao Chen, Jia Wei, Zhiwen Yu. Direct Model of Memory Properties and the Linear Reservoir Topologies in Echo State Networks. Applied Soft Computing, 2014, 22(9): 622-628.
(6)Qian-Li Ma, Wei-Biao Chen. Modular state space of echo state network. Neurocomputing, 2013, 122: 406-417.
(7)Ma Qian-li, Zhang Jun-hao. A Local Strengthened Multi-label Propagation Algorithm for Community Detection. Computer Engineering, 2014, 40(6):171-179.
(8)Qian-Li Ma, Wei-Biao Chen. Modular State Space of Echo State Network. Neurocomputing, 2013, 122: 406-417.
(9)Gu-Li Lin, Hong Peng, Qian-Li Ma, Jia Wei, Jiang-Wei Qin. A Keyword Based Prototype for Web Search Result Diversication. Journal of Information Science and Engineering, 2012, 28(3): 601-615.
(10)Guoxian Yu, Hong Peng, Jia Wei and Qianli Ma. Enhanced Locality Preserving Projections with Robust Path based Similarity. Neurocomputing, 2011, 74 (4): 598-605.
(11)Ma Qian-li, Lin Gu-li. Online Diversied Ranking Algorithm Based on Clustering and User Clicks. Journal of South China University of Technology (Natural Science Edition), 2011, 39(12): 70-74,99.
(12)Chuntao Zhang, Qianli Ma, Hong Peng, Youyi Jiang. Multivariate Chaotic Time Series Phase Space Reconstruction Based on Extending Dimension by Conditional Entropy. Acta Physica Sinica, 2011, 60(2)020508.
(13)Qin Jiang-wei, Zheng Qi-lun, Ma Qian-li, Wei Jia, Lin Gu-li. Multi-Step Bridged Renement for Transfer Learning. Journal of South China University of Technology (Natural Science Edition), 2011, 39(5):108-114.
(14)Chuntao Zhang, Qianli Ma, Hong Peng. Chaotic Time Series Prediction Based on Information Entropy Optimized Parameters of Phase Space Reconstruction. Acta Physica Sinica, 2010, 59(11): 7623-7629.
(15)Wei Jia, Yang Chuang-xin, Ma Qian-li, Yu Guo-xian. Semi-Supervised Discriminant Analysis Method Based on Local Reconstruction and Global Preserving. Journal of South China University of Technology (Natural Science Edition), 2010, 38(7):45-49,55.
(16)Guoxian Yu, Hong Peng, Jia Wei and Qianli Ma. Mixture Graph based Semi-Supervised Dimensionality Reduction. Pattern Recognition and Image Analysis, 2010, 20 (4): 536-541.
(17)Zhiwen Yu, Hau-San Wong, Hong Peng, Qianli Ma. ASM: An Adaptive Simplication Method for 3D Point-based Models. Computer-Aided Design, 2010, 42: 598-612.
(18)Qianli Ma, Qilun Zhen, Hong Peng, Jiangwei Qin. Chaotic Time Series Prediction Based on Fuzzy Boundary Modular Neural Networks. Acta Physica Sinica, 2009, 58(3): 1410-1419.
(19)Ma Qian-Li, Zheng Qi-Lun, Peng Hong. Multi-step-prediction of Chaotic Time Series Based on Co-evolutionary Recurrent Neural Network. Chinese Physics B, 2008, 17(2):536-542.
Selected Conference Papers
(1)Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, et al. WALKING WALKing walking: Action Recognition from Action Echoes. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'2017), Accepted.
(2)Wei Jia, Wang Jiabing, Ma Qianli, Wang Xuan. Adaptive Semi-Supervised Dimensionality Reduction. IEEE International Conference on Data Mining (ICDM), the Workshop on High Dimensional Data Mining, 2014, 684-691.
(3)Qianli Ma, Weibiao Chen. Determining Reservoir Topologies from Short-Term Memory in Echo State Networks, Pattern Recognition, Communications in Computer and Information Science, Springer, 2012, Volume 321, Part 1, CCPR 2012, Beijing, China, September 24-26, 64-71.
(4)Wei-Biao Chen, Qian-Li Ma, Hong Peng. Shared Reservoir Modular Echo State Networks for Chaotic time series prediction, Proceedings of Ninth IEEE International Conference on Machine Learning and Cybernetics(ICMLC), 2010, 7: 2439-3443.
(5)Peng Peng, Qianli Ma, Chaoxiong Li. The Research and Implementation of Data Mining Component Library System. Proceedings of 2009 World Congress on Software Engineering (WCSE),2009, 5:271-275.
(6)Peng Peng, Qian-Li Ma, Lei-Ming Hong. The Research of The Parallel SMO Algorithm for Solving SVM. Proceedings of the Eighth International Conference on Machine Learning and Cybernetics(ICMLC), 2009, 7:1271-1274.
(7)Qian-Li Ma, Qi-Lun Zheng, Hong Peng, Zhong Tan-Wei, Qin Jiang-Wei. Chaotic Time Series Prediction Based on Evolving Recurrent Neural Networks. Proceedings of Sixth IEEE International Conference on Machine Learning and Cybernetics(ICMLC), 2007, 6: 3496-3500.
Projects
(1)Reservoir Computing based on Multi-scale Modular Networks: Models and Algorithms, Project of National Natural Science Foundation of China, PI, 2016.01-2018.12.
(2)The Research of Key Technologies of Business Intelligence based on Deep Learning, Guangzhou Science and Technology Planning Project, PI, 2017.05-2019.12.
(3)Mining on the Big Data of Intelligent Power System in Distributed Computing Environment, Project of China Southern Power Grid Company Limited, PI, 2013.10-2014.12.
(4)Computational Analysis of Reservoir Computing based on Short-Term Memory. Natural Science Foundation of Guangdong Province, China, PI, 2012.10-2014.9.\
(5)The Reservoir Computing Model based on Random Walk Basis. Specialized Research Fund for the Doctoral Program of Higher Education, PI, 2012.1-2014.12.
(6)Enterprise Innovation Decision Support System based on Patent Mining. Cooperation Project in Industry, Education and Academy of Guangdong Province and Ministry of Education of China, PI, 2011.12-2014.12.
(7)Opinion Mining on the Short E-commerce Feedback Comments. Open Project from Key Laboratory of Electronic Commerce Market Application Technology, PI, 2011.10-2013.12.
(8)Multivariate Chaotic Time Series Analysis and Prediction based on Subspace. The Fundamental Research Funds for the Central Universities, PI, 2010.1-2011.12.
(9)Multivariate Chaotic Time Series Prediction based on Modular Neural Networks. Natural Science Foundation of Guangdong Province, China, PI, 2009.10-2011.9.
Scientific Awards
(1)Third prize of Guangdong Provincial Science and Technology Award.
(2)First prize of SCUT Teaching Award.
