Chengzhang Zhu

Orcid: 0000-0001-8825-0992

According to our database1, Chengzhang Zhu authored at least 72 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Deep learning-based magnetic resonance image super-resolution: a survey.
Neural Comput. Appl., July, 2024

A multi-feature-based intelligent redundancy elimination scheme for cloud-assisted health systems.
CAAI Trans. Intell. Technol., 2024

An Effective Dual-Scale Hybrid Encoder Network for Medical Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Reconstruction-Guided Multi-Stage Network For MRI Super-Resolution.
Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

2023
Two-layer partitioned and deletable deep bloom filter for large-scale membership query.
Inf. Syst., October, 2023

DE-JANet: A unified network based on dual encoder and joint attention for Alzheimer's disease classification using multi-modal data.
Comput. Biol. Medicine, October, 2023

Medical visual question answering with symmetric interaction attention and cross-modal gating.
Biomed. Signal Process. Control., August, 2023

A two-stage deep learning framework for counterfeit luxury handbag detection in logo images.
Signal Image Video Process., June, 2023

Combining external attention GAN with deep convolutional neural networks for real-fake identification of luxury handbags.
Vis. Comput., March, 2023

ESDedup: An efficient and secure deduplication scheme based on data similarity and blockchain for cloud-assisted medical storage systems.
J. Supercomput., 2023

PA-LBF: Prefix-Based and Adaptive Learned Bloom Filter for Spatial Data.
Int. J. Intell. Syst., 2023

MetaEdu: a new framework for future education.
Discov. Artif. Intell., 2023

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.
CoRR, 2023

Multi-scale deformable transformer for multi-contrast knee MRI super-resolution.
Biomed. Signal Process. Control., 2023

A Two-stream Channel Cross Enhancement Network for Diabetic Retinopathy Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location.
Proceedings of the International Joint Conference on Neural Networks, 2023

Engineering Human Body for Systematic and Computational Thinking.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Combining Gamification and Intelligent Tutoring Systems for Engineering Education.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Wavelet-aware Transformer Network for Multi-contrast Knee MRI Super-resolution.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Unsupervised Heterogeneous Coupling Learning for Categorical Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

OVS-Net: An effective feature extraction network for optical coherence tomography angiography vessel segmentation.
Comput. Animat. Virtual Worlds, 2022

UHRCS: A High-Throughput Platform for Real-time Cameras-Sampling based on UE4.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Entity-level Attention Pooling and Information Gating for Document-level Relation Extraction.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Alps: An Adaptive Load Partitioning Scaling Solution for Stream Processing System on Skewed Stream.
Proceedings of the Database and Expert Systems Applications, 2022

A Learned Prefix Bloom Filter for Spatial Data.
Proceedings of the Database and Expert Systems Applications, 2022

GRVT: Toward Effective Grocery Recognition via Vision Transformer.
Proceedings of the Advances in Computer Graphics, 2022

MeDA: Using Blockchain for Patient-Controlled Medical Data Auditing in Institutions.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science.
CoRR, 2021

Personalized next-best action recommendation with multi-party interaction learning for automated decision-making.
CoRR, 2021

Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos.
CoRR, 2021

HFBT: An Efficient Hierarchical Fault-tolerant Method for Cloud Storage System.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Cluster-Based Distribution Alignment For Generalizable Person Re-Identification.
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

2020
Non-rigid retinal image registration using an unsupervised structure-driven regression network.
Neurocomputing, 2020

A Simple yet Effective Unsupervised Adversarial Example Generation Framework for Vulnerability Assessment on Deep Learning.
Proceedings of the Theoretical Computer Science - 38th National Conference, 2020

Expose Your Mask: Smart Ponzi Schemes Detection on Blockchain.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Mix2Vec: Unsupervised Mixed Data Representation.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Web Security Education in A Multidisciplinary Learning Context.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019
Non-IID representation learning on complex categorical data
PhD thesis, 2019

Automatic Diabetic Retinopathy Screening via Cascaded Framework Based on Image- and Lesion-Level Features Fusion.
J. Comput. Sci. Technol., 2019

A novel glaucomatous representation method based on Radon and wavelet transform.
BMC Bioinform., 2019

Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem.
Proceedings of the International Joint Conference on Neural Networks, 2019

Bi-Level Masked Multi-scale CNN-RNN Networks for Short Text Representation.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks.
Wirel. Commun. Mob. Comput., 2018

Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings.
IEEE Trans. Knowl. Data Eng., 2018

Model-aware categorical data embedding: a data-driven approach.
Soft Comput., 2018

Crime prediction and mapping based on real time video analysis.
J. Ambient Intell. Smart Environ., 2018

Classified optic disc localization algorithm based on verification model.
Comput. Graph., 2018

Detecting Abnormality without Knowing Normality: A Two-stage Approach for Unsupervised Video Abnormal Event Detection.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Two-stage Unsupervised Multiple Kernel Extreme Learning Machine.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Supervised Vessels Classification Based on Feature Selection.
J. Comput. Sci. Technol., 2017

Retinal Blood Vessel Segmentation Using Extreme Learning Machine.
J. Adv. Comput. Intell. Intell. Informatics, 2017

A highly efficient human activity classification method using mobile data from wearable sensors.
Int. J. Sens. Networks, 2017

Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques.
Int. J. Comput. Intell. Syst., 2017

Retinal vessel segmentation in colour fundus images using Extreme Learning Machine.
Comput. Medical Imaging Graph., 2017

Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Coupled Bayesian Matrix Factorization in Recommender Systems.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Random Fourier extreme learning machine with ℓ<sub>2, 1</sub>-norm regularization.
Neurocomputing, 2016

Natural scene text detection by multi-scale adaptive color clustering and non-text filtering.
Neurocomputing, 2016

MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine.
Neurocomputing, 2016

Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF.
Comput. Biol. Medicine, 2016

2015
Surroundedness based multiscale saliency detection.
J. Vis. Commun. Image Represent., 2015

CIS: Community-based information sharing mechanism for automotive IoT.
Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015

An Improved Retinal Vessel Segmentation Method Based on Supervised Learning.
Proceedings of the 14th International Conference on Computer-Aided Design and Computer Graphics, 2015

2014
A Novel Feature Selection Method Based on Category Distribution and Phrase Attributes.
Proceedings of the Trustworthy Computing and Services - International Conference, 2014

A binary feature selection framework in kernel spaces.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Spectral clustering-based local and global structure preservation for feature selection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014


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