Ye Wang

Orcid: 0000-0002-1748-6890

Affiliations:
  • 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.

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

Timeline

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Bibliography

2024
One-shot knowledge graph completion based on disentangled representation learning.
Neural Comput. Appl., November, 2024

Self-supervised modal optimization transformer for image captioning.
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

Lung Cancer Risk Prediction Model Trained with Multi-source Data.
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

Where to look: Multi-granularity occlusion aware for video person re-identification.
Neurocomputing, June, 2023

Adaptive Multi-granularity Aggregation Transformer for Image Captioning.
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
Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio.
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

Context-aware multi-feature fusion for open-domain dialogue generation.
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

A Comparative Review of Recent Few-Shot Object Detection Algorithms.
CoRR, 2021

Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models.
CoRR, 2021

2020
Attention augmentation with multi-residual in bidirectional LSTM.
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

English Out-of-Vocabulary Lexical Evaluation Task.
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
An optimized system to solve text-based CAPTCHA.
CoRR, 2018

English Out-of-Vocabulary Lexical Evaluation Task.
CoRR, 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
A self-adaptive algorithm to defeat text-based CAPTCHA.
Proceedings of the IEEE International Conference on Industrial Technology, 2016


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