Ye Wang
Orcid: 0000-0002-1748-6890Affiliations:
- Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China
- Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
According to our database1,
Ye Wang
authored at least 33 papers
between 2016 and 2024.
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Bibliography
2024
Neural Comput. Appl., November, 2024
Neural Comput. Appl., November, 2024
Relation correlations-aware graph convolutional network with text-enhanced for knowledge graph embedding.
Int. J. Mach. Learn. Cybern., October, 2024
Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network.
IEEE Trans. Artif. Intell., September, 2024
The interactive fusion of characters and lexical information for Chinese named entity recognition.
Artif. Intell. Rev., September, 2024
KDDGAN: Knowledge-Guided Explicit Feature Disentanglement for Facial Attribute Editing.
IEEE Trans. Consumer Electron., February, 2024
Proceedings of the Rough Sets - International Joint Conference, 2024
2023
Stable local interpretable model-agnostic explanations based on a variational autoencoder.
Appl. Intell., December, 2023
Interpreting open-domain dialogue generation by disentangling latent feature representations.
Neural Comput. Appl., October, 2023
Neurocomputing, June, 2023
Proceedings of the Rough Sets - International Joint Conference, 2023
Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
SFDA: Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
2022
Remote. Sens., 2022
Semantic-aware conditional variational autoencoder for one-to-many dialogue generation.
Neural Comput. Appl., 2022
LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks.
Knowl. Based Syst., 2022
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation.
CoRR, 2022
Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making.
Cogn. Comput., 2022
RCNet: Recurrent Collaboration Network Guided by Facial Priors for Face Super-Resolution.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Denoise Network Structure for User Alignment Across Networks via Graph Structure Learning.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
2021
Realize your surroundings: Exploiting context information for small object detection.
Neurocomputing, 2021
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models.
CoRR, 2021
2020
Neurocomputing, 2020
2019
Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
A New Method for Sparse Signals Reconstruction in Fusion Center with Incomplete Measurements.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
2017
Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
2016
Proceedings of the IEEE International Conference on Industrial Technology, 2016