Junhua Zou

Orcid: 0000-0003-4655-7173

According to our database1, Junhua Zou authored at least 25 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Location and time embedded feature representation for spatiotemporal traffic prediction.
Expert Syst. Appl., 2024

2022
Joint network embedding of network structure and node attributes via deep autoencoder.
Neurocomputing, 2022

Enhancing transferability of adversarial examples via rotation-invariant attacks.
IET Comput. Vis., 2022

Adversarial Attack via Dual-Stage Network Erosion.
CoRR, 2022

Boosting adversarial attacks with transformed gradient.
Comput. Secur., 2022

Adversarial attack via dual-stage network erosion.
Comput. Secur., 2022

Learning Coated Adversarial Camouflages for Object Detectors.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Making Adversarial Examples More Transferable and Indistinguishable.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
The impact of a rich media platform to table tennis learners' performance and participation motivation.
Interact. Learn. Environ., 2021

A fast X-shaped foreground segmentation network with CompactASPP.
Eng. Appl. Artif. Intell., 2021

DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors.
CoRR, 2021

Mask-guided noise restriction adversarial attacks for image classification.
Comput. Secur., 2021

Learning Indistinguishable and Transferable Adversarial Examples.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020
Making Adversarial Examples More Transferable and Indistinguishable.
CoRR, 2020

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting.
Proceedings of the Computer Vision - ECCV 2020, 2020

2018
Convolutional neural network feature maps selection based on LDA.
Multim. Tools Appl., 2018

基于监督学习深度自编码器的图像重构 (Image Reconstruction Based on Supervised Learning Deep Auto-encoder).
计算机科学, 2018

Convolutional neural network simplification via feature map pruning.
Comput. Electr. Eng., 2018

2017
Pedestrian detection based on multi-convolutional features by feature maps pruning.
Multim. Tools Appl., 2017

Data Reconstruction Based on Supervised Deep Auto-Encoder.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Deep Auto-Encoder Based on Supervised Learning for Damaged Face Reconstruction.
Proceedings of the Internet Multimedia Computing and Service, 2017

2016
课程本体自动构建技术研究 (Research on Technique of Course Ontology Automatically Constructing).
计算机科学, 2016

Convolutional Neural Network Simplification Based on Feature Maps Selection.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2012
Development of a Moodle course for schoolchildren's table tennis learning based on Competence Motivation Theory: Its effectiveness in comparison to traditional training method.
Comput. Educ., 2012

2008
The Design and Implementation of a SOA-based Educational Resource Services System.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008


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