Jia Wei
Associate Professor of School of Computer Science and Engineering
South China University of Technology
Higher Education Mega Center, Guangzhou, China, 510006
Phone: (+86) 020-39380287-3301
Email: csjwei@scut.edu.cn
Webpage:
EDUCATION
Ph.D. in Computer Science, South China University of Technology, Guangzhou, China 2009
M.S. in Computer Science, Harbin Institute of Technology, Harbin, China 2006
B.S. in Computer Science, Harbin Institute of Technology, Harbin, China 2003
WORK EXPERIENCE
Associate Professor, School of Computer Science and Engineering
South China University of Technology, Guangzhou, China 2014 – present
Lecture, School of Computer Science and Engineering
South China University of Technology, Guangzhou, China 2009 – 2014
RESEARCH INTERESTS
Semi-supervised learning: especially in semi-supervised dimensionality reduction and semi-supervised clustering
Deep learning: especially in learning deep neural networks for image classification and action recognition
Computer Game: especially in learning deep neural networks for Texas Poker
RESEARCH GRANTS (PI)
Content analysis of brand-related multimedia in social media
PI: Jia Wei
Funding Agency: Guangdong Provincial Department of Science and Technology
Award ¥300,000, 2016
Research of adaptive semi-supervised dimensionality reduction methods based on pairwise constraints
PI: Jia Wei
Funding Agency: National Natural Science Foundation of China
Award ¥250,000, 2014
Research of adaptive semi-supervised dimensionality reduction methods based on pairwise constraints weighting and graph optimizing
PI: Jia Wei
Funding Agency: Guangzhou Science Technology and Innovation Commission
Award ¥80,000, 2014
Research of semi-supervised dimensionality methods based on structure preserving
PI: Jia Wei
Funding Agency: Guangdong Provincial Department of Science and Technology
Award ¥30,000, 2012
PROFESSIONAL ACTIVITIES
Journal reviewing: Neural Processing Letters, International Journal of Machine Learning and Cybernetics, Neurocomputing
Conference Reviewing: International Conference on Machine Learning and Cybernetics (ICMLC)
MEMBERSHIPS
Member of China Computer Federation
Member of Chinese Association for Artificial Intelligence
TEACHING
Artificial Intelligence, Undergraduate level, South China University of Technology
Java Programming, Undergraduate level, South China University of Technology
Android Programming, Undergraduate level, South China University of Technology
CURRENT GRADUATE STUDENTS
Qiuming Yang, M.S. in Computer Science (2015-)
Kaiwen Zhang, M.S. in Computer Science (2016-)
Zhengwen Zeng, M.S. in Computer Science (2017-)
Yunjun Xiao, M.S. in Computer Science (2017-)
PUBLICATIONS
Selected Journal Papers
1.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. (DOI: 10.1007/s13042-015-0380-3)
2.Wei Jia*, Meng Meng, Wang Jiabing, Ma Qianli, Wang Xuan. Adaptive Semi-Supervised Dimensionality Reduction with Sparse Representation Using Pairwise Constraints. Neurocomputing, 177:564-571, 2016.
3.Ma Qianli*, Shen Lifeng, Chen Weibiao, Wang Jiabing, Wei Jia, Yu Zhiwen. Functional echo state network for time series classification. Information Sciences, 2016, 373: 1-20.
4.Qi Shuhan, Wang Fanglin, Wang Xuan*, Wei Jia, Zhao Hainan. Live multimedia brand-related data identification in microblog. Neurocomputing, 158: 225-233, 2015.
5.Wei Jia*, Zeng Qunfang, Wang Xuan, Wang Jiabing, Wen Guihua. Integrating local and global topological structures for semi-supervised dimensionality reduction. Soft Computing, 18(6):1189-1198, 2014.
6.Ma Qianli*, Chen Weibiao, Wei Jia, Yu Zhiwen. Direct Model of Memory Properties and the Linear Reservoir Topologies in Echo State Networks. Applied Soft Computing, 2014, 22: 622-628
7.Cai Xianfa*, Wen Guihua, Wei Jia, Li Jie, Yu Zhiwen. Perceptual relativity-based semi-supervised dimensionality reduction algorithm. Applied Soft Computing, 16:112-123, 2014.
8.Wen Guihua*, Wei Jia, Wang Jiabing, Zhou Tiangang, Chen Lin. Cognitive gravitation model for classification on small noisy data. Neurocomputing, 118:245-252, 2013.
9.Wen Guihua*, Jiang Lijun, Wen Jun, Wei Jia, Yu Zhiwen. Perceptual relativity-based local hyperplane classification. Neurocomputing, 97:155-163, 2012.
10.Yu Guoxian*, Peng Hong, Wei Jia, Ma Qianli. Enhanced Locality Preserving Projections using Robust Path based Similarity. Neurocomputing, 74(4):598-605, 2011.
11.Yu Guoxian*, Peng Hong, Wei Jia, Ma Qianli. Mixture Graph based Semi-Supervised Dimensionality Reduction. Pattern Recognition and Image Analysis, 20(4):536-541, 2010.
12.Wei Jia*, Peng Hong. Neighbourhood Preserving based Semi-Supervised Dimensionality Reduction. Electronics Letters, 44(20):1190-1191, 2008.
Selected Conference Papers
13.Wei Jia*, Wang Jiabing, Ma Qianli, Wang Xuan. Adaptive Semi-Supervised Dimensionality Reduction. The 2nd International Workshop on High Dimensional Data Mining (HDM) @ IEEE International Conference on Data Mining Workshop (ICDMW), 2014, 684-691.
14.Chen Xiaochen, Wei Jia*, Li Jinhai, Zhang Xiaodong. Integrating Local and Global Manifold Structures for Unsupervised Dimensionality Reduction. The 2014 International Joint Conference on Neural Networks (IJCNN), 2014, 2837-2843.
15.Wei Jia*, Chen Zewei, Niu Pingyang, Chen Yishun, Chen Wenhui. Manifold Ranking-Based Locality Preserving Projections. The 3rd International Conference on Artificial Intelligence and Computational Intelligence (AICI), 2011, Part 2:664-671.
16.Wang Jiabing*, Zhang Pei, Wen Guihua, Wei Jia. Classifying categorical data by rule-based neighbors. The 11th IEEE International Conference on Data Mining (ICDM), 2011, 1248-1253.
17.Wei Jia*, Yang Chuangxin, Huang Zhimao. Semi-Supervised Classification based on Robust Path Regularization. The 2010 Chinese Conference on Pattern Recognition (CCPR), 2010, 625-630.
18.Wei Jia*, Peng Hong, Lin Yishen, Huang Zhimao, Wang Jiabing. Adaptive Neighborhood Selection for Manifold Learning. The 7th International Conference on Machine Learning and Cybernetics (ICMLC), 2008, 380-384.
