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 Zhengming (Allan)Ding 
丁正明    
Ph.D. Candidate, 
Electrical & Computer Engineering, 
Northeastern University, USA
allanding [at] ece [dot] neu [dot] edu
 
Who am I [LinkedIn] [Full Resume] (updated on 09/28/2017)
I am now the fifth-year Ph.D. candidate at Department of Electrical & Computer Engineering,  Northeastern University (NEU),  supervised by Prof.  Yun (Raymond) Fu. My research interests include machine learning and computer vision. I received my M.S. degree and B.S. degree both in Computer Science from University of Electronic Science and Technology of China (UESTC), China, in 2013 and 2010. 

 What’s New [more]

  • 12/2017, our tutorial on “Multi-view Visual Data Analytics” was accepted by CVPR 2018
  • 11/2017, I accepted the invitation to serve as Program Committee of CVPR 2018
  • 11/2017, we have three AAAI-2018 papers accepted. Congratulations to Kai, Lichen and Sheng.
  • 10/2017, we have an IEEE TIP accepted. Congratulations to Shuyang. 
  • 09/2017, we have an IEEE TIP paper accepted. 
  • 09/ 2017, I received the travel award from the National Institute of Justice (NIJ) Forensic Science Research & Development at the Pittcon 2018.
  • 09/2017, we have an IEEE TIP paper accepted. Congratulations to Handong and Hongfu. 
  • 07/2017, we have two full papers accepted by ACM MM 2017.
  • 07/2017, I  accepted the invitation to serve as Program Committee of FG 2018.

Research Interests

  • Manifold learning, subspace learning, low-rank representation and sparse representation
  • Deep learning (Deep Auto-Encoder, GANs, LSTM, DCNN)
  • Transfer Learning, domain adaptation,
  • Multi-source/multi-view learning, and multi-task learning

Working Experience (Summer Intern)


Selected Publications [Google Scholar][DBLP][GitHub][Full List]

Journal Papers:
[J5]. Zhengming Ding, and Yun Fu. Deep Domain Generalization with Structured Low-Rank Constraint, IEEE Transactions on Image Processing (TIP), vol. 27, no. 1, pp. 304-313, 2018. [pdf][bib][code]
[J4]. 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][code]
[J3]. 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][code]
[J2]. Zhengming Ding, Ming Shao, and Yun Fu. Incomplete Multisource Transfer Learning, IEEE Transactions on Neural Networks and Learning Systems, 2016 [pdf][bib][code]
[J1]. 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]
 
Conference Papers:
[C10]. 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][code]
[C9].
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][poster][code]
[C8]. 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] [slides][code]
[C7]. Zhengming Ding, Ming Shao, and Yun Fu. Transfer Learning for Image Classification with Incomplete Multiple Sources. International Joint Conference on Neural Networks (IJCNN), 2016 [pdf][bib][slides][code]
[C6]. Zhengming Ding, Nasser M Nasrabadi, and Yun Fu. Task-driven Deep Transfer Learning for Image Classification.  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. [pdf][bib][poster][code]
[C5]. Zhengming Ding and Yun Fu. Robust Multi-view Subspace Learning through Dual Low-rank Decompositions. Association for the Advancement of Artificial Intelligence (AAAI), 2016. (Acceptance Rate: 26% = 549/2132) [pdf][bib][code][slides]
[C4]. Zhengming Ding, Ming Shao, and Yun Fu. Deep Low-rank Coding for Transfer Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2015 (20-min talk). [pdf][slides][poster][bib][code]
[C3]. Zhengming Ding, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, and Yun Fu, Discriminative Low-Rank Metric Learning for Face Recognition, the 11th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2015. [pdf] [bib][code][poster]
[C2]. Zhengming Ding, Yun Fu. Low-Rank Common Subspace for Multi-View Learning. IEEE International Conference on Data Mining (ICDM), 2014. (regular paper, 71 out of 727) [pdf][slides][bib][code]
[C1]. Zhengming Ding, Ming Shao, Yun Fu.  Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. Association for the Advancement of Artificial Intelligence (AAAI), 2014. [pdf][poster][bib][code]