[Google Scholar][DBLP][GitHub]

Journal Papers:

[J9].Yu Kong, Zhengming Ding, Jun Li and Yun Fu. Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Transactions on Image Processing, 2017 [pdf][bib]
[J8].Zhengming Ding, and Yun Fu. Robust Multi-view Data Analysis through Collective Low-Rank Subspace. IEEE Transactions on Neural Networks and Learning Systems, 2017 [pdf][bib]
[J7]. Handong Zhao, Zhengming Ding, and Yun Fu. Ensemble Subspace Segmentation Under Block-wise Constraints, IEEE Transactions on Circuits and Systems for Video Technology , 2017 [pdf][bib]

[J6]. Zhengming Ding, and Yun Fu. Robust Transfer Metric Learning for Image Classification, IEEE Transactions on Image Processing, vol. 26, no.2, pp. 660-670, 2017 [pdf][bib]
[J5]. Zhengming Ding, Ming Shao, and Yun Fu. Incomplete Multi-Source Transfer Learning, IEEE Transactions on Neural Networks and Learning Systems, 2016 [pdf][bib]
[J4]. Zhengming Ding, Ming Shao, and Yun Fu. Missing Modality Transfer Learning via Latent Low-Rank Constraint, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4322-4334, 2015 [pdf] [bib][code]
[J3]. Ke Lu, Zhengming Ding and Sam Ge. Sparse Representation Based Graph Embedding for Traffic Sign Recognition, IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 4, pp. 1515-1524, 2012.[pdf][bib]
[J2]. Ke Lu, Zhengming Ding and Jidong Zhao. Locally connected graph embedding for semisupervised image classification. Journal of Electronic Imaging, vol. 21, no. 4, 2012.[pdf][bib]
[J1]. Ke Lu, Zhengming Ding and Sam Ge. Locally Connected Graph for Visual Tracking, Neurocomputing, vol. 120, no. 23, pp. 45-53, 2012.[

 Conference Papers:

[C21]. Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, and Yun Fu. From Ensemble Clustering to Multi-View Clustering. IJCAI, 2017.
[C20]. Zhengming Ding, Ming Shao and Yun Fu. Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. Computer Vision and Pattern Recognition (CVPR), 2017. [pdf][bib]
[C19]. Shuyang Wang, Zhengming Ding and Yun Fu. Feature Selection Guided Auto-Encoder. AAAI, 2017.

[C18]. Handong Zhao, Zhengming Ding and Yun Fu. Multi-view Clustering via Deep Matrix Factorization. AAAI, 2017.
[C17]. Zhengming Ding, Ming Shao and Yun Fu. Deep Robust Encoder through Locality Preserving Low-Rank Dictionary. European Conference on Computer Vision (ECCV), 2016. [pdf][bib]
[C16]. Zhengming DingNasser Nasrabadi  and Yun Fu. Deep Transfer Learning for Automatic Target Classification: MWIR to LWIR. SPIE Defense+ Security,  2016 (Best Paper Award) [pdf][bib
[C15]. Shuyang Wang, Zhengming Ding and Yun Fu. Coupled Marginalized Auto-encoders for Cross-domain Multi-view Learning. IJCAI, 2016. [pdf][bib]
[C14]. Zhengming Ding, Ming Shao and Yun Fu. Transfer Learning for Image Classification with Incomplete Multiple Sources. IJCNN, 2016 [pdf][bib][slides]
[C13]. Zhengming Ding, Nasser M Nasrabadi and Yun Fu. Task-driven Deep Transfer Learning for Image Classification.  ICASSP, 2016. [pdf][bib]
[C12]. Zhengming Ding and Yun Fu. Robust Multi-view Subspace Learning through Dual Low-rank Decompositions. AAAI, 2016. (Acceptance Rate: 26% = 549/2132) [pdf][bib][code]
[C11]. Ming Shao, Zhengming Ding, Handong Zhao and Yun Fu. Spectral Bisection Tree Guided Deep Adaptive Exemplar Auto-encoder for Unsupervised Domain Adaptation. AAAI, 2016. (Acceptance Rate: 26% = 549/2132) [pdf][bib]
[C10]. Handong Zhao, Zhengming Ding, and Yun Fu. Pose-dependent Low-Rank Embedding for Head Pose Estimation. AAAI, 2016. (Acceptance Rate: 26% = 549/2132) [pdf][bib]
[C9]. Handong Zhao, Zhengming Ding, Ming Shao, and Yun Fu. Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning, ICDM, 2015 .(short paper)[pdf] [bib]
[C8]. Zhengming Ding, Ming Shao, and Yun Fu. Deep Low-rank Coding for Transfer LearningIJCAI, 2015 (20-min talk). [pdf][slides][poster][bib]
[C7]. Ming Shao, Sheng Li, Zhengming Ding, and Yun Fu. Deep Linear Coding for Fast Graph ClusteringIJCAI, 2015 (10-min talk). [pdf][bib]
[C6]. Zhengming Ding, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, and Yun Fu, Discriminative Low-Rank Metric Learning for Face Recognition, FG, 2015. [pdf] [bib][code]
[C5]. Handong Zhao, Zhengming Ding, and Yun Fu, Block-wise Constrained Sparse Graph for Face Image Representation,  FG2015. [pdf] [bib]
[C4]. Ming Shao, Zhengming Ding, and Yun Fu, Sparse Low-Rank Fusion based Deep Features for Missing Modality Face Recognition, FG2015. [pdf] [bib]
[C3]. Zhengming Ding, Yun Fu. Low-Rank Common Subspace for Multi-View Learning. ICDM, 2014. (regular paper, 71 out of 727) [pdf][slides][bib][code]
[C2]. Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Fu. Latent Tensor Transfer Learning for RGB-D Action Recognition. ACM Multimedia 2014. (long paper)[pdf][bib]
[C1]. Zhengming Ding, Ming Shao, Yun Fu.  Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. AAAI, 2014. [pdf][poster][bib]


[P1]. Sungjoo Suh, Yun Fu, Zhengming Ding, ChangKyu  Choi and Jaejoon Han. Apparatus and Method for Extracting Feature Of Image Including Object. United States Patent Application 20160086047. [pdf]