Wenlu Zhang
机构: Associate Professor, Computer Science, California State University Long Beach
每年引用次数
引用次数
引用: 2,523
H-指数: 13
I10-指数 : 17
出版物: 36
Evolutionary Soft Co-Clustering.
Shuiwang Ji , Wenlu Zhang , Rui Zhang
siam international conference on data mining 121 -129
5
2013
Deep Encoder–Decoder Neural Networks for Retinal Blood Vessels Dense Prediction
Mehrdad Aliasgari , Bo Fu , Wenlu Zhang , Lusi Li
International Journal of Computational Intelligence Systems 14 ( 1) 1078 -1086
2021
An observational study of engineering online education during the COVID-19 pandemic.
Antonella Sciortino , Roger C. Lo , Shadnaz Asgari , Wenlu Zhang
PLOS ONE 16 ( 4)
195
2021
Deep learning based imaging data completion for improved brain disease diagnosis.
Rongjian Li , Wenlu Zhang , Heung-Il Suk , Li Wang
medical image computing and computer-assisted intervention 17 305 -312
482
2014
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
Wenlu Zhang , Rongjian Li , Houtao Deng , Li Wang
NeuroImage 108 214 -224
811
2015
Towards Adaptive Ontology Visualization — Predicting User Success from Behavioral Data
Bo Fu , Ben Steichen , Wenlu Zhang
International Journal of Semantic Computing 13 ( 04) 431 -452
1
2019
Sparsity Learning Formulations for Mining Time-Varying Data
Rongjian Li , Wenlu Zhang , Yao Zhao , Zhenfeng Zhu
IEEE Transactions on Knowledge and Data Engineering 27 ( 5) 1411 -1423
17
2015
Classification of Shark Behaviors using K-Nearest Neighbors
Sainesh Karan , Emily N Meese , Yu Yang , Hen-Geul Yeh
2019 IEEE Green Energy and Smart Systems Conference (IGESSC)
2
2019
Deep Convolutional Neural Networks for Shark Behavior Analysis
Wenlu Zhang , Anthony Martinez , Emily Nicole Meese , Christopher G Lowe
2019 IEEE Green Energy and Smart Systems Conference (IGESSC)
1
2019
Improvement of Classification of Shark Behaviors using K-Nearest Neighbors
Ibrahim M Ali , Calvin J Lee , Hen-Geul Yeh , Sainesh Karan
2020 IEEE Green Energy and Smart Systems Conference (IGESSC)
2020
Deep Convolutional Neural Networks for Road Extraction
Adrian Campos , Fair Aboshehwa , Lusi Li , Wenlu Zhang
2020 IEEE Green Energy and Smart Systems Conference (IGESSC)
2020
Machine Learning for Predicting Stock Market Movement using News Headlines
Yang Liu , Jelena Trajkovic , Hen-Geul Henry Yeh , Wenlu Zhang
2020 IEEE Green Energy and Smart Systems Conference (IGESSC)
2020
Deep Learning Models for Biomedical Image Analysis
Bo Ji , Wenlu Zhang , Rongjian Li , Hao Ji
IGI Global 128 -148
2019
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis
Wenlu Zhang , Rongjian Li , Tao Zeng , Qian Sun
knowledge discovery and data mining 1475 -1484
197
2015
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis
Wenlu Zhang , Daming Feng , Rongjian Li , Andrey Chernikov
BMC Bioinformatics 14 ( 1) 372 -372
7
2013
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
Rongjian Li , Wenlu Zhang , Shuiwang Ji
BMC Bioinformatics 15 ( 1) 209 -209
8
2014
Evolutionary soft co-clustering: formulations, algorithms, and applications
Wenlu Zhang , Rongjian Li , Daming Feng , Andrey Chernikov
Data Mining and Knowledge Discovery 29 ( 3) 765 -791
7
2015
Improving Fitness Levels of Individuals with Autism Spectrum Disorder: A Preliminary Evaluation of Real-Time Interactive Heart Rate Visualization to Motivate Engagement in Physical Activity
Wenlu Zhang , Mehrdad Aliasgari , Bo Fu , Jimmy Chao
international conference on computers helping people with special needs 81 -89
2020
The Rise of Artificial Intelligence under the Lens of Sustainability
Jayden Khakurel , Birgit Penzenstadler , Jari Porras , Antti Knutas
Technologies 6 ( 4) 100
68
2018
A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas
Shuiwang Ji , Wenlu Zhang , Rongjian Li
IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 ( 6) 1460 -1468
12
2013