[1]    Xiao Li, Min Fang, Dazheng Feng, Haikun Li, Jinqiao Wu. Prototype adjustment for zero shot classification [J]. Signal Processing: Image Communication, 2019.
[2]    Xiao Li, Min Fang, Dazheng Feng, Haikun Li, Jinqiao Wu. Zero shot learning by partial transfer from source domain with L2,1 norm constraint[J]. Journal of Visual Communication and Image Representation, 2019, 58: 701-711.
[3]    Xiao Li, Min Fang, Dazheng Feng, Haikun Li, Jinqiao Wu. Learning unseen visual prototypes for zero-shot classification [J]. Knowledge-Based Systems, 2018, 160: 176-187.
[4]    Xiao Li, Min Fang, Jinqiao Wu. Zero-shot classification by transferring knowledge and preserving data structure[J]. Neurocomputing, 2017, 238: 76-83. 
[5]    Xiao Li, Min Fang, Ju-Jie Zhang, Jinqiao Wu. Learning Coupled Classifiers with RGB images for RGB-D object recognition [J]. Pattern Recognition, 2017, 61: 433-446. 
[6]    Xiao Li, Min Fang, Ju-Jie Zhang, Jinqiao Wu. Domain adaptation from RGB-D to RGB images[J]. Signal Processing, 2017, 131: 27-35. 
[7]    Xiao Li, Min Fang, Ju-Jie Zhang, Jinqiao Wu. Sample selection for visual domain adaptation via sparse coding[J]. Signal Processing: Image Communication, 2016, 44: 92-100.
[8]    Xiao Li, Min Fang, Ju-Jie Zhang. Projected transfer sparse coding for cross domain image representation[J]. Journal of Visual Communication and Image Representation, 2015, 33: 265-272 
[9]    Xiao Li, Min Fang, Hongchun Wang, Ju-Jie Zhang. Supervised transfer kernel sparse coding for image classification[J]. Pattern Recognition Letters, 2015, 68: 27-33.
[10]    Xiao Li, Min Fang, Jinqiao Wu, Liang He, Xian Tian. Image classification by semisupervised sparse coding with confident unlabeled samples[J]. Journal of Electronic Imaging, 2017, 26(5): 053013.
[11]    Zhang J J, Fang M, Li X. Clustered Intrinsic Label Correlations for Multi-label Classification[J]. Expert Systems with Applications, 2017, 81: 134-146. 
[12]    Zhang J J, Fang M, Wu J Q, Li, X. Robust label compression for multi-label classification[J]. Knowledge-Based Systems, 2016, 107: 32-42. 
[13]    Zhang J J, Fang M, Wang H, Li X. Dependence maximization based label space dimension reduction for multi-label classification[J]. Engineering Applications of Artificial Intelligence, 2015, 45: 453-463. 
[14]    Zhang J J, Fang M, Li X. Multi-label learning with discriminative features for each label[J]. Neurocomputing, 2015, 154: 305-316. 
[15]    Fang M, Guo Y, Zhang X, Li X. Multi-source transfer learning based on label shared subspace[J]. Pattern Recognition Letters, 2015, 51: 101-106.