Publications

2018

Ben A Duffy, Wenlu Zhang, Haoteng Tang, Lu Zhao, Meng Law, Arthur W Toga, Hosung Kim
Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion
Medical Imaging with Deep Learning(MIDL), 2018

2017

Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, and Shuiwang Ji
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis
IEEE Transactions on Big Data, 2017

2016

Wenlu Zhang
A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications
PhD Dissertation, Old Dominion University

2015

Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, and Shuiwang Ji
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis
The 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015

Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Wenli Lin, Shuiwang Ji and Dinggang Shen
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
NeuroImage, 108:214-224, 2015 (5-Yr Impact Factor: 6.956 )

2014

Rongjian Li, Wenlu Zhang, Yao Zhao, Zhenfeng Zhu, and Shuiwang Ji
Sparsity Learning Formulations for Mining Time-Varying Data
IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted, 2014

Wenlu Zhang, Rongjian Li , Daming Feng, Andrey Chernikov, Nikos Chrisochoides, Christopher Osgood, and Shuiwang Ji
Evolutionary Soft Co-Clustering: Formulations, Algorithms, and Applications
Data Mining and Knowledge Discovery (DMKD), Accepted, 2014

Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, and Shuiwang Ji
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis
Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014

Rongjian Li, Wenlu Zhang, and Shuiwang Ji
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
BMC Bioinformatics, 15:209, 2014.

2013

Wenlu Zhang, Daming Feng, Rongjian Li, Andrey Chernikov, Nikos Chrisochoides, Christopher Osgood, Charlotte Konikoff, Stuart Newfeld, Sudhir Kumar, and Shuiwang Ji
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis
BMC Bioinformatics, 14:372, 2013.

Shuiwang Ji, Wenlu Zhang, and Rongjian Li
A Probabilistic Latent Semantic Analysis Model for Co-Clustering the Mouse Brain Atlas
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 10(6):1460-1468, 2013.

Wenlu Zhang, Shuiwang Ji and Rui Zhang
Evolutionary Soft Co-Clustering
The 2013 SIAM International Conference on Data Mining (SDM 2013), 121-129, 2013.

2012

Shuiwang Ji, Wenlu Zhang, and Jun Liu
A Sparsity-Inducing Formulation for Evolutionary Co-Clustering
The Eighteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), 334-342, 2012.