Wenlu Zhang
355 NE Spokane Street Dana 118  Pullman, WA
646-716-1875  wzhang@cs.odu.edu
Software Development Engineer/Data Scientist
Highly-educated professional with pending PhD, plus Master’s, and Bachelor’s degrees in field.
Demonstrated skills in research and investigation. Expertise in machine learning, data mining and
bioinformatics. Strong ability to oversee projects from concept to completion. Published author of
numerous journal and conference white papers. Experience as teaching assistant in algorithms and
systems programming. Well-versed in deep learning, transfer learning, and multi-task learning, plus
soft clustering. Knowledgeable in gene expression pattern image analysis, brain image segmentation,
and multi-modality data completion.
CORE COMPETENCIES
 Caffe  Cuda-Convnet  Cnpkg  LibSVM  LibLinear  ITK  VTK  SLEP  Weka
 Unix  Linux  Python  Matlab  Java  R  C/C++  Shell
EDUCATION
Visiting Ph.D. Student, Washington State University, Pullman, WA, 2015-Present
Ph.D., Computer Science, Old Dominion University, Norfolk, VA (Expected 2016)
Master of Science, Computer Science, City College of New York, New York, NY, 2010
Bachelor of Electronics, Computer Science,
Information Engineering University, Zhengzhou, China, 2008
SELECTED RESEARCH PROJECTS
DEEP CONVOLUTIONAL NEURAL NETWORKS: KDD’15, NeuroImage, MICCAI’14, Old Dominion
University, Norfolk VA
2014-2015
Designed multiple 2D and 3D CNN models for medical and biological image analysis. Proposed multitask learning method to fine-tune pre-trained CNN models with labeled biological data. Utilized multiple
open-source CNN software on GPU platforms including Caffe, Cuda-convnet, Cnpkg and Theano.
 Achieved more than 15% relative improvement.
EVOLUTIONARY SOFT CO-CLUSTERING: SDM’13, BMC Bioinformatics, DMKD, Old Dominion
University, Norfolk VA
2013
Designed probabilistic model for evolutionary co-clustering evaluating synthetic, real DBLP data, and
several biological applications including gene expression pattern analysis in fruit fly embryo and mouse
brain. Helped develop open source software package, mesh generation and co-clustering for biological
image analysis.
 Achieved relative improvement of 2.1% compared with existing clustering methods.
TEACHING EXPERIENCE
OLD DOMINION UNIVERSITY, Norfolk, VA
Algorithms Teaching Assistant  Spring 2012
Systems Programming Teaching Assistant  Fall 2011
2011-2012
WENLU ZHANG
Resume, Page 2
SELECTED JOURNAL PAPERS
Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen, Deep
Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation,
NeuroImage, 108:214-224, 2015
Wenlu Zhang, Rongjian Li, Daming Feng, Andrey Chernikov, Nikos Chrisochoides, Christopher Osgood
and Shuiwang Ji, Evolutionary Soft Co-Clustering: Formulations, Algorithms, and Application, Springer
Journals of Data Mining and Knowledge Discovery (DMKD), 1-27, 2014
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
SELECTED CONFERENCE PAPERS
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji, Deep Model
Based Transfer and Multi-task Learning for Biological Image Analysis, The Twenty first ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (SIGKDD), 1475-1484, 2015
Rongjian Li, Wenlu Zhang, Heung-II Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji, Deep
Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis, The Seventeenth
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),
305-312, 2014
Wenlu Zhang, Shuiwang Ji, and Rui Zhang, Evolutionary Soft Co-Clustering, Proceedings of the 2013
SIAM International Conference on Data Mining (SDM), 121-129, 2013
Showing Ji, Wenlu Zhang, and Jun Liu, A Sparsity-Inducing Formulation for Evolutionary CoClustering, The Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data
Mining (SIGKDD), 334-342, 2012
DEMO PAPERS ABSTRACT, POSTERS
Wenlu Zhang, Damming Feng, Andrey Chernigov, Nikos Chrisochoides, Christopher Osgood, Sudhir
Kumar, and Shuiwang Ji, Integrated Image-to-Mesh Conversion and Machine Learning Framework for
Gene Expression Pattern Image Analysis, The 54th Annual Drosophila Research Conference, 2013
AWARDS, HONORS
Student Travel Award, Old Dominion University, 2014
Featured Student, Computer Science Department of Old Dominion University, 2014
Outstanding Graduate Research Assistant of the Computer Science Department,
Old Dominion University, 2014
Student Travel Award, The 13th SIAM International Conference on Data Mining, 2013