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Welcome to Allan's Homepage [養天地正氣,法古今完人]
Allan Z. Ding, 丁正明

Dr. and Assistant Professor
Department of Computer, Information and Technology
Indiana University-Purdue University Indianapolis
799 West Michigan St., ET 301, Indianapolis IN 46202
Email: zd2[at]iu[dot]edu
About Me [Google Scholar] [Latest CV] (by Sept. 2018)

I am a Tenure-Track Assistant Professor at Department of Computer, Information and Technology, Indiana University-Purdue University Indianapolis (IUPUI). My research interests include: transfer learning/domain adaptation, deep learning, and multi-view learning.

I received my Ph.D. degree from Department of Electrical and Computer Engineering, at Northeastern University in 2018, advised by a great supervisor Yun Raymond Fu. I received the B.Eng. degree in information security and the M.Eng. degree in computer software and theory from University of Electronic Science and Technology of China (UESTC), China, in 2010 and 2013, respectively. During my PhD study, I did three summer interns at Microsoft Research (with Yandong Guo and Lei Zhang), Adobe Systems Incorporated (with William Yan), Army Research Lab (with Nasser M. Nasrabadi), in 2017, 2016, 2015, respectively.

Opening Positions
I am always looking for self-motivated graduate students and visiting students/scholars. Feel free to contact me with your CV. Specifically, the Ph.D. students will receive the degree from Purdue University.

What is New!
[10/2018] Our AAAI 2019 Tutorial Deep Multi-view Data Analytics was accepted (with Hongfu Liu and Handong Zhao).
[10/2018] We get one paper on deep transfer learning accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
[09/2018] We get one paper on person re-identification accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Congratulations to Kai.
[09/2018] We get one paper on ensemble clustering accepted by ACM Transactions on Knowledge Discovery from Data (TKDD). Congratulations to Zhiqiang.
[09/2018] I have accepted the invitation to serve as an Associate Editor for the Journal of Electronic Imaging (JEI).
[09/2018] I received a GPU donation from NVIDIA.
[08/2018] We get 10th IEEE Transactions on Image Processing (TIP) paper accepted (transfer subspace clustering). Congratulations to Lichen.
[08/2018] We get one paper on zero-shot learning accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) joint with Prof. Ming Shao, and Prof. Yun Fu.
[08/2018] We get one paper on multi-label learning accepted by ICBK 2018 joint with Prof. Ming Shao, Prof. Sheng Li, and Prof. Yun Fu.
[08/2018] We get one paper on multi-view learning accepted by IEEE Transactions on Image Processing (TIP) with Professor Fu.

Tutorials

[T-4] Zhengming Ding, Hongfu Liu and Handong Zhao. Deep Multi-view Data Analytics, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA
[T-3] Zhengming Ding, Ming Shao, Yun Fu. Large-Scale Multi-view Data Analysis, IEEE International Conference on Big Data, 2018, Seattle, WA, USA
[T-2] Zhengming Ding, Ming Shao, Yun Fu. Multi-view Visual Data Analytics [Slides], IEEE International Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, USA
[T-1] Zhengming Ding, Handong Zhao, Yun Fu. Multi-view Face Representation, IEEE International Conference on Automatic Face and Gesture Recognition, 2017, Washington, DC

Selected Publications

[Full Journal Publications](2 TPAMI, 4 TNNLS, 1 TKDE, 10 TIP, 1 TCSVT, 1 TITS, etc.)

[J-9] Zhengming Ding, and Yun Fu. Deep Transfer Low-Rank Coding for Cross-Domain Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (accepted) 2018. [pdf][bib][code]
[J-8] Zhengming Ding, Ming Shao, and Yun Fu. Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018. [pdf][bib][code]
[J-7] Zhengming Ding, and Yun Fu. Dual Low-Rank Decompositions for Robust Cross-View Learning, IEEE Transactions on Image Processing (TIP), 2018. (accepted)[pdf][bib][code]
[J-6] Zhengming Ding, Nasser Nasrabadi, and Yun Fu. Semi-supervised Deep Domain Adaptation via Coupled Neural Networks, IEEE Transactions on Image Processing (TIP), vol. 27, no. 11, pp. 5214-5224, Nov. 2018. [pdf][bib][code]
[J-5] 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]
[J-4] Zhengming Ding, and Yun Fu. Robust Multi-view Data Analysis through Collective Low-Rank Subspace. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 5, pp. 1986-1997, 2018. [pdf][bib][code]
[J-3] Zhengming Ding, Ming Shao, and Yun Fu. Incomplete Multisource Transfer Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 2, pp. 310-323, 2018. [pdf][bib][code]
[J-2] Zhengming Ding, and Yun Fu. Robust Transfer Metric Learning for Image Classification. IEEE Transactions on Image Processing (TIP), vol. 26, no.2, pp. 660-670, 2017. [pdf][bib][code]
[J-1] Zhengming Ding, Ming Shao, and Yun Fu. Missing Modality Transfer Learning via Latent Low-Rank xConstraint. IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 4322-4334, 2015. [pdf][bib][code]

[Full Conference Publications] (1 CVPR, 2 ECCV, 9 AAAI, 5 IJCAI, 4 ACM MM, 3 ICDM, etc)

[C-9] Zhengming Ding, Sheng Li, Ming Shao and Yun Fu. Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. European Conference on Computer Vision (ECCV), 2018 [pdf]bib][code]
[C-8] Zhengming Ding, Ming Shao, and Yun Fu. Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. International Joint Conference on Artificial Intelligence (IJCAI), 2018 (Survey Track) [pdf][bib]
[C-7] Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu. One-Shot Face Recognition via Generative Learning, IEEE Conference on Automatic Face and Gesture Recognition (FG), 2018. [pdf][bib][code]
[C-6] Zhengming Ding, Ming Shao and Yun Fu. Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf][bib][code]
[C-5] 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][code]
[C-4] Zhengming Ding, and Yun Fu. Robust Multi-view Subspace Learning through Dual Low-rank Decompositions. Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016. [pdf][bib][code]
[C-3] Zhengming Ding, Ming Shao, and Yun Fu. Deep Low-rank Coding for Transfer Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2015. [pdf][bib][code]
[C-2] Zhengming Ding, Yun Fu. Low-Rank Common Subspace for Multi-View Learning. IEEE International Conference on Data Mining (ICDM), 2014. [pdf][bib][code]
[C-1] Zhengming Ding, Ming Shao and Yun Fu. Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014. [pdf][bib][code]