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
• Wenlu Zhang, Yongjun Chen, Hongyang Gao, Hanchuan Peng, Ian Davidson, and Suiwang Ji
Deep Encoder-Decoder Networks for 3D Neuron Segmentation and Reconstruction from Optical Microscopy Images, BioImage Informatics, 2017
• Tao Zeng, Wenlu Zhang, and Shuiwang Ji
Deep Learning Methods for Neurite Segmentation and Synaptic Cleft Detection from EM Images, BioImage Informatics, 2017
2016
• Wenlu Zhang A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications PhD Dissertation, Old Dominion University, 2016
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.
Faculty
• Dr. Wenlu Zhang
Undergraduate Students
• Adrian Campos
• Fair Aboshehwa
• Matt Buchholz
M.S. Students
• Anthony Martinez
• Vincent Cheong
Visiting Students
• Akira Sekizawa - Tokyo Denki University
Alumni
• Anthony Sanchez (Spring 2019) - Machine Learning Engineer, MeetKai
• Chanon Chantaduly (Spring 2018) - AI Programmer, UCI Medical Center
• Daniel Kim (Spring 2019) - Android Developer, MeetKai
