Wenlu Zhang

发表

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Shuiwang Ji, Wenlu Zhang, Dinggang Shen, 2015, NeuroImage.

An observational study of engineering online education during the COVID-19 pandemic

S. Asgari, Wenlu Zhang, A. Sciortino, 2020, PloS one.

An Observational Study of Engineering Online Education During the COVID-19 Pandemic

S. Asgari, Wenlu Zhang, A. Sciortino, 2020 .

Deep Learning Models for Biomedical Image Analysis

Hao Ji, Wenlu Zhang, Rongjian Li, 2019, Computational Models for Biomedical Reasoning and Problem Solving.

The Rise of Artificial Intelligence under the Lens of Sustainability

Birgit Penzenstadler, Jari Porras, Antti Knutas, 2018, Technologies.

Deep Encoder-Decoder Neural Networks for Retinal Blood Vessels Dense Prediction

Mehrdad Aliasgari, Vincent Cheong, Wenlu Zhang, 2021, Int. J. Comput. Intell. Syst..

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis

Jieping Ye, Qian Sun, Shuiwang Ji, 2015, IEEE Transactions on Big Data.

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis

Dinggang Shen, Jiang Li, Heung-Il Suk, 2014, MICCAI.

An observational study of engineering online education during the COVID-19 pandemic.

S. Asgari, Wenlu Zhang, A. Sciortino, 2020, PloS one.

Evolutionary soft co-clustering: formulations, algorithms, and applications

Andrey N. Chernikov, Daming Feng, Shuiwang Ji, 2015, Data Mining and Knowledge Discovery.

Sparsity Learning Formulations for Mining Time-Varying Data

Yao Zhao, Zhenfeng Zhu, Shuiwang Ji, 2015, IEEE Transactions on Knowledge and Data Engineering.

Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns

Shuiwang Ji, Wenlu Zhang, Rongjian Li, 2014, BMC Bioinformatics.

Sparsity Learning Formulations for Mining

Yao Zhao, Zhenfeng Zhu, Shuiwang Ji, 2015 .

Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion

Arthur W. Toga, Lu Zhao, Ben A. Duffy, 2018 .

A sparsity-inducing formulation for evolutionary co-clustering

Shuiwang Ji, Jun Liu, Wenlu Zhang, 2012, KDD.

Feature Extraction, Selection, and K-Nearest Neighbors Algorithm for Shark Behavior Classification Based on Imbalanced Dataset

Hen-Geul Yeh, Christopher G. Lowe, Wenlu Zhang, 2021, IEEE Sensors Journal.

Improvement of Performance of K-Nearest Neighbors Used to Classify Sharks into Behaviors

Emily N. Meese, H. Yeh, Wenlu Zhang, 2021, 2021 IEEE Green Energy and Smart Systems Conference (IGESSC).

Deep Convolutional Neural Networks for Shark Behavior Analysis

Yu Yang, Christopher G. Lowe, Wenlu Zhang, 2019, 2019 IEEE Green Energy and Smart Systems Conference (IGESSC).

Classification of Shark Behaviors using K-Nearest Neighbors

Yu Yang, Hen-Geul Yeh, Wenlu Zhang, 2019, 2019 IEEE Green Energy and Smart Systems Conference (IGESSC).

A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis

Andrey N. Chernikov, Shuiwang Ji, S. Newfeld, 2013, BMC Bioinformatics.

A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications

Wenlu Zhang, Wenlu Zhang, 2016 .

A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis

Andrey N. Chernikov, Daming Feng, Shuiwang Ji, 2013, BMC Bioinformatics.

Evolutionary Soft Co-Clustering

Rui Zhang, Shuiwang Ji, Wenlu Zhang, 2013, SDM.

Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000

S. Asgari, Wenlu Zhang, A. Sciortino, 2020 .

ChainSketch: An Efficient and Accurate Sketch for Heavy Flow Detection

Wenlu Zhang, Jianxin Wang, Jin Ye, 2023, IEEE/ACM Transactions on Networking.

A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas

Shuiwang Ji, Wenlu Zhang, Rongjian Li, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.