Yu Yao

Orcid: 0000-0002-6692-3233

Affiliations:
  • Southeast University, School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Nanjing, China
  • Anhui University, School of Computer Science and Technology, Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China (until 2019)


According to our database1, Yu Yao authored at least 13 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Probabilistic Keyphrase Generation From Copy and Generating Spaces.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

KGAgent: Learning a Deep Reinforced Agent for Keyphrase Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Data Expansion for Resource-Constrained Keyphrase Generation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
RERG: Reinforced evidence reasoning with graph neural network for table-based fact verification.
Appl. Intell., May, 2023

RegRL-KG: Learning an L1 regularized reinforcement agent for keyphrase generation.
Intell. Data Anal., 2023

TorDNS: A Novel Correlated Onion Address Generation Approach and Application.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
GCN-based document representation for keyphrase generation enhanced by maximizing mutual information.
Knowl. Based Syst., 2022

EKPN: enhanced knowledge-aware path network for recommendation.
Appl. Intell., 2022

Keyphrase Generation via Soft and Hard Semantic Corrections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020
Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering.
IEEE Access, 2020

2018
DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence.
IEEE Access, 2018

DeepMVF-RBP: Deep Multi-view Fusion Representation Learning for RNA-binding Proteins Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks.
J. Chem. Inf. Model., June, 2017


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