Suivre
Wenlu Zhang
Wenlu Zhang
Associate Professor, Computer Science, California State University Long Beach
Adresse e-mail validée de csulb.edu
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Année
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
9172015
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
5642014
An observational study of engineering online education during the COVID-19 pandemic
S Asgari, J Trajkovic, M Rahmani, W Zhang, RC Lo, A Sciortino
Plos one 16 (4), e0250041, 2021
3532021
Deep model based transfer and multi-task learning for biological image analysis
W Zhang, R Li, T Zeng, Q Sun, S Kumar, J Ye, S Ji
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
2242015
The rise of artificial intelligence under the lens of sustainability
J Khakurel, B Penzenstadler, J Porras, A Knutas, W Zhang
Technologies 6 (4), 100, 2018
1142018
Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion
BA Duffy, W Zhang, H Tang, L Zhao, M Law, AW Toga, H Kim
Medical imaging with deep learning, 2022
602022
DLAM: Deep learning based real-time porosity prediction for additive manufacturing using thermal images of the melt pool
S Ho, W Zhang, W Young, M Buchholz, S Al Jufout, K Dajani, L Bian, ...
IEEE Access 9, 115100-115114, 2021
222021
Feature extraction, selection, and K-nearest neighbors algorithm for shark behavior classification based on imbalanced dataset
Y Yang, HG Yeh, W Zhang, CJ Lee, EN Meese, CG Lowe
IEEE Sensors Journal 21 (5), 6429-6439, 2020
192020
Sparsity learning formulations for mining time-varying data
R Li, W Zhang, Y Zhao, Z Zhu, S Ji
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1411-1423, 2014
192014
A sparsity-inducing formulation for evolutionary co-clustering
S Ji, W Zhang, J Liu
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
172012
Evolutionary soft co-clustering: formulations, algorithms, and applications
W Zhang, R Li, D Feng, A Chernikov, N Chrisochoides, C Osgood, S Ji
Data Mining and Knowledge Discovery 29, 765-791, 2015
162015
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
R Li, W Zhang, S Ji
BMC bioinformatics 15, 1-12, 2014
162014
A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis
W Zhang, D Feng, R Li, A Chernikov, N Chrisochoides, C Osgood, ...
BMC bioinformatics 14, 1-10, 2013
142013
A probabilistic latent semantic analysis model for coclustering the mouse brain atlas
S Ji, W Zhang, R Li
IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (6 …, 2013
132013
Classification of shark behaviors using K-nearest neighbors
S Karan, EN Meese, Y Yang, HG Yeh, CG Lowe, W Zhang
2019 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2019
112019
Machine learning for predicting stock market movement using news headlines
Y Liu, J Trajkovic, HGH Yeh, W Zhang
2020 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2020
102020
The rise of artificial intelligence under the lens of sustainability. Technologies 6 (4): 100
J Khakurel, B Penzenstadler, J Porras, A Knutas, W Zhang
102018
Deep Convolutional Neural Networks for Shark Behavior Analysis
HGY Wenlu Zhang, Anthony Martinez, Emily Meese, Christopher G. Lowe, Yu Yang
IEEE Green Energy & Smart System Conference, pp. 1-6, 2019
7*2019
Evolutionary Soft Co-Clustering
W Zhang, S Ji, R Zhang
62013
Prediction modeling for application-specific communication architecture design of optical NoC
J Trajkovic, S Karimi, S Hangsan, W Zhang
ACM Transactions on Embedded Computing Systems (TECS) 21 (4), 1-29, 2022
52022
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