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Jia Wei
Ph.D., Associate Professor

Office: B3-301, South China University of Technology, Guangzhou Higher Education Mega Center
Homepage: http://www.hgml.cn/jiawei
中文
Brief Introduction:
I am an associate professor of the School of Computer Science and Engineering, South China University of Technology. I received my Ph.D. degree in Computer Science from South China University of Technology in 2009. Before that, I received my B.Sc. and M.Sc. degrees both in Computer Science from Harbin Institute of Technology in 2003 and 2006 respectively.
 
Research Interests:
My research interests include machine learning and artificial intelligence. More specifically, I am interested in: Semi-Supervised learning, Representation learning, Deep learning, Medical image analysis. Some of my researches have been supported by the National Natural Science Foundation of China (No. 61402181), the Natural Science Foundation of Guangdong Province (No. S2012040008022, 2017A030313358), and the Science and Technology Planning Project of Guangdong Province (No. 2016A040403046), etc.
 

Selected Journal Papers:
    1. Yunjun Xiao, Jia Wei*, Jiabing Wang, Qianli Ma, Shandian Zhe, Tolga Tasdizen. Graph constraint-based robust latent space low-rank and sparse subspace clustering. Neural Computing and Applications, 2019. (https://doi.org/10.1007/s00521-019-04317-3)
    2. 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, 8(3):793-805, 2017.
    3. 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.
    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. 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. 
    7. Wen Guihua*, Wei Jia, Wang Jiabing, Zhou Tiangang, Chen Lin. Cognitive gravitation model for classification on small noisy data. Neurocomputing, 118:245-252, 2013.
    8. Wen Guihua*, Jiang Lijun, Wen Jun, Wei Jia, Yu Zhiwen. Perceptual realtivity-based local hyperplane classification. Neurocomputing, 97:155-163, 2012. 
    9. Yu Guoxian*, Peng Hong, Wei Jia, Ma Qianli. Enhanced Locality Preserving Projections using Robust Path based Similarity. Neurocomputing, 74(4):598-605, 2011.
    10. 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. 
    11. Wei Jia*, Peng Hong. Neighbourhood Preserving based Semi-Supervised Dimensionality Reduction. Electronics Letters, 44(20):1190-1191, 2008. 
 
Selected Conference Papers:
  1. Wenguang Yuan, Jia Wei*, Jiabing Wang, Qianli Ma, Tolga Tasdizen. Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images. The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. (https://arxiv.org/abs/1907.03548)
  2. 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.
  3. 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.  
  4. 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. 
  5. 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. 

 

Current M.Sc. Students:
Zhengwen Zeng (2017-)

Yunjun Xiao (2017-)

Yulin Pan (2017-)

Wenguang Yuan (2018-)

Nurun Nahar (2018-)

Zhaotao Wu (2019-)

Junxiao Chen (2019-)


Alumni :

Qiuming Yang (2015-2018, @MI)

Kaiwen Zhang (2016-2019, @HUAWEI)


Hobbies:
Table tennis, chinese calligraphy, travelling, skiing.



Last updated: June 30, 2019