Chengzhang Zhu
Orcid: 0000-0001-8825-0992
According to our database1,
Chengzhang Zhu
authored at least 68 papers
between 2014 and 2023.
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Bibliography
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
Int. J. Intell. Syst., 2023
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.
CoRR, 2023
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
Proceedings of the IEEE Frontiers in Education Conference, 2023
Proceedings of the IEEE Frontiers in Education Conference, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
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
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
Proceedings of the Database and Expert Systems Applications, 2022
Proceedings of the Advances in Computer Graphics, 2022
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
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
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
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020
2019
Automatic Diabetic Retinopathy Screening via Cascaded Framework Based on Image- and Lesion-Level Features Fusion.
J. Comput. Sci. Technol., 2019
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
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
IEEE Trans. Knowl. Data Eng., 2018
J. Ambient Intell. Smart Environ., 2018
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
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
J. Comput. Sci. Technol., 2017
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
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
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
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
J. Vis. Commun. Image Represent., 2015
Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015
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
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