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韦佳
博士,副教授

Office: 广州大学城华南理工大学计算机科学与工程学院 B3-301
English
个人简介
      韦佳,1982年1月出生于江西省永修县,2003年和2006年在哈尔滨工业大学获工学学士和工学硕士学位,2009年在华南理工大学获工学博士学位,现为华南理工大学计算机科学与工程学院副教授,硕士生导师。主要研究兴趣包括半监督学习、表示学习、深度学习、医学图像分析等。主持国家自然科学基金项目1项,广东省自然科学基金项目2项,广东省科技计划项目1项,广州市科技计划项目1项。

主要期刊论文
  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. 余国先*,张国基,韦佳,任亚洲. 一种基于多图的集成直推分类方法. 电子与信息学报, 33(8):1883-1888, 2011. 
  11. 韦佳*,杨创新,马千里,余国先. 基于局部重构与全局保持的半监督判别分析方法. 华南理工大学学报(自然科学版), 38(7):45-49, 2010. 
  12. 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. 
  13. 刘利*,韦佳,马千里. 基于流形学习的图像检索研究进展. 北京交通大学学报, 34(5):164-171, 2010. 
  14. Wei Jia*, Peng Hong. Neighbourhood Preserving based Semi-Supervised Dimensionality Reduction. Electronics Letters, 44(20):1190-1191, 2008. 
  15. 韦佳*,彭宏. 基于局部与全局保持的半监督维数约减方法. 软件学报, 19(11):2833-2842, 2008. 
  16. 韦佳*,彭宏,林毅申. 基于改进距离的孤立点检测方法. 华南理工大学学报(自然科学版), 36(9):25-30, 2008.


主要会议论文

  1. Wenguang Yuan, Jia Wei*, Jiabing Wang, Qianli Ma, Tolga Tasdizen. Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images. MICCAI 2019, Shenzhen, China. (to appear)
  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. 


专利、软件著作权

  1. 张凯文, 韦佳. 一种面向噪声图像的深度学习聚类方法, 中国, 申请号: 2019101347233. (发明专利)
  2. 袁文广, 韦佳, 张加佳. 一种用于大菠萝扑克二三轮摆法的深度增强学习方法, 中国, 申请号: 201910124932X. (发明专利)
  3. 杨秋明, 韦佳. 一种基于概率成对约束的自适应半监督降维方法, 中国, 申请号: 201810234006.3. (发明专利)
  4. 陈怀臻, 韦佳, 张加佳. 一种用于大菠萝扑克首轮摆法的卷积神经网络结构模型, 中国, 申请号: 201711204890.8. (发明专利)
  5. 韦佳, 张凯文, 陈毅贤, 陈冠宇. 两国军棋对战平台与程序AI软件V1.0, 2016.5, 中国, 2016SR095375. (计算机软件著作权)
  6. 韦佳, 吴景旺, 林涛, 陈俊伟, 金跃骄. 基于CBIR技术的宝贝搜索引擎软件V1.0, 2013.7, 中国, 2013SR076541. (计算机软件著作权)


在读硕士生

2017级:曾政文,肖云军,潘宇琳

2018级:袁文广,Nurun Nahar(欣月)

2019级:伍兆韬,陈俊晓


已毕业硕士生

杨秋明(2015-2018,now@小米)

张凯文(2016-2019,now@华为)


招生要求

“四好”学生:好德(小胜靠智,大胜靠德,做事必先做人),好奇(兴趣是最好的老师),好学(敏而好学,不耻下问),好动(实践是检验真理的唯一标准)


For Potential and Current Students

本、硕、博的区别,只用两组图就解释清楚了

我只希望学生能认真读研、顺利毕业

没有痛苦的博士求学经历是不合格的

美国教授开除中国研究生:我就不该录取你!

台湾清华大学教授撰写研究生手册,让你少走很多弯路!

“侯沉,你的论文充斥着垃圾”: 浅谈英文科研写作







Last updated: June 30, 2019