基本信息

赖剑煌现任中山大学信息科技学院教授、博士生导师、院长，IEEE高级会员，中国计算机学会杰出会员，中国图像图形学会常务理事，中国图像图形学会学术委员会委员，广东省图像图形学会理事长。1989年在中山大学获硕士学位并留校任教。1999年在中山大学获博士学位。先后到美国HARRIS数字系统公司。已主持承担国家自然科学基金与广东联合重点项目1项，科技部科技支撑课题1项，国家自然科学基金4项，广东省部级基金7项，并多次主持或参加过多项大型横向课题。已在ICDM、ICCV、 CVPR、 ICPR等重要专业会议和已在IEEE Transactions on Image Processing、IEEE Transactions on Neural Networks、IEEE Transactions on SMC(Part B)、Pattern Recognition等国际刊物上发表了150多篇学术论文。

 

教育背景

1999年 博士，中山大学

1989年 硕士，中山大学

1986年 学士，中山大学

 

研究领域

生物特征识别、数字图像处理、模式识别和机器学习

 

论文发表


  1. Liang Lin, Xiaolong Wang, Wei Yang, Jianhuang Lai，Discriminatively Trained And-Or Graph Models for Object Shape Detection, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence，2014.
  2. Liang Lin, Yuanlu Xu, Xiaodan Liang, Jian-Huang Lai: Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models. IEEE Transactions on Image Processing 23(7): 3191-3202 (2014)
  3. Chang-Dong Wang, Jian-Huang Lai, Ching Y. Suen and Jun-Yong Zhu Multi-Exemplar Affinity Propagation， IEEE Transactions on Pattern Analysis and Machine Intelligence, VOL. 35, NO. 9，pp.2223-2237 ，2013.
  4. Andy J Ma, Pong C Yuen and Jian-Huang Lai，Linear Dependency Modeling for Classifier Fusion and Feature Combination，IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 5, pp. 1135-1148, 2013.
  5. Qing-Song Zeng, Jian-Huang Lai, Chang-Dong Wang，Multi-local model image set matching based on domain description，Pattern Recognition, 47, 2, 694–704, 2014.
  6. Andy Jinhua Ma, Pong C. Yuen, Wilman W. W. Zou, Jian-Huang Lai: Supervised Spatio-Temporal Neighborhood Topology Learning for Action Recognition. IEEE Trans. Circuits Syst. Video Techn. 23(8): 1447-1460 2013
  7. Chang-Dong Wang, Jian-Huang Lai, Dong Huang, and Wei-Shi Zheng, SVStream: A Support Vector Based Algorithm for Clustering Data Streams，IEEE Transactions on Knowledge and Data Engineering, Vol.25, No.6, pp.1410-1424 , 2013.
  8. Chang-Dong Wang, Jian-Huang Lai，Position Regularized Support Vector Domain Description，Pattern Recognition, Vol.46, No.3, pp.875-884, 2013.
  9. Yan Liang, Xiaohua Xie, Jian-Huang Lai, Face hallucination based on morphological component analysis, Signal Processing, Vol.93, No.2, pp. 445-458, 2013.
  10. Yu Chen, Wei-Shi Zheng, Xiao-Hong Xu, Jian-Huang Lai，Discriminant subspace learning constrained by locally statistical uncorrelationfor face recognition，Neural Networks , VOL. 42，No.6, pp.23-43, 2013.
  11. Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu, Graph-Based Multi-Prototype Competitive Learning and its Applications, IEEE Transactions on Systems, Man and Cybernetics (Part C)，Vol.42, No.6，pp.934–946, 2012.
  12. Yan Liang, Pong C. Yuen and Jian-Huang Lai, Image Super-Resolution by Textural Context Constrained Visual Vocabulary, Signal Processing: Image Communication, VOL. 27, NO. 10, NOVEMBER, pp.1096-1108, 2012.
  13. Na Liu, Jian-Huang Lai, Wei-Shi Zheng，A Facial Sparse Descriptor for Single Image Based Face Recognition，Neurocomputing，Vol.93, pp. 77-87, 2012.
  14. Wei-Shi Zheng, JianHuang Lai, Shengcai Liao, and Ran He, "Extracting Non-negative Basis Images Using Pixel Dispersion Penalty," Pattern Recognition, Vol.45, No.8, pp. 2912-2926, 2012.
  15. Guoyun Lian, Jianhuang Lai, Ching Y. Suen, and Pei Chen，Matching of Tracked Pedestrians across Disjoint Camera Views Using CI_DLBP, IEEE Transactions on Circuits and Systems for Video Technology，Vol. 22, No.7 , pp 1087 – 1099, 2012.
  16. Xiaohua Xie, Wei-Shi Zheng, Jianhuang Lai*, Pong C. Yuen, Ching Y. Suen,Normalization of Face Illumination Based on Large- and Small- Scale Features, IEEE Transactions on Image Processing, Vol.20, NO.7, pp. 1807-1820, 2011.
  17. Binbin Pan, Jianhuang Lai, Wen-Sheng Chen，Nonlinear nonnegative matrix factorization based on Mercer kernel construction，Pattern Recogntion，Vol.44, pp.2800-2810, 2011
  18. Chang-Dong Wang, Jiang-Huang Lai, Energy Based Competitive Learning, Neurocomputing, Vol.74, PP.2265-2275, 2011
  19. Xiaohua Xie, Jianhuang Lai, Wei-Shi Zheng, Extraction of Illumination Invariant Facial Features from A Single Image Using Nonsubsampled Contourlet Transform, Pattern Recognition, Vol.43 (12) ,pp.4177–4189, 2010.
  20. X. Wu and J.H. Lai, Tensor-based projection using ridge regression and its application to action classification, IET Image Process. Vol.4, Iss.6, pp.486-493，2010.
  21. Wei-Shi Zheng, JianHuang Lai, and Pong C. Yuen, "Penalized Pre-image Learning in Kernel Principal ComponentAnalysis," IEEE Trans. on Neural Networks, vol. 21, no. 4, pp. 551-570, 2010.