Sen Yang

Orcid: 0000-0003-3222-2268

Affiliations:
  • National University of Defense Technology, School of Computer, Changsha, China


According to our database1, Sen Yang authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning.
IEEE Trans. Artif. Intell., May, 2024

Enhanced Cross-Modal Transformer Model for Video Semantic Similarity Measurement.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

Exploring the Knowledge of an Outstanding Protein to Protein Interaction Transformer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023
Multi-task Pre-training Language Model for Semantic Network Completion.
ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2023

2022
Text Generation From Data With Dynamic Planning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Nuclear Norm Maximization Based Curiosity-Driven Learning.
CoRR, 2022

Distant context aware text generation from abstract meaning representation.
Appl. Intell., 2022

FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
FINT: Field-aware INTeraction Neural Network For CTR Prediction.
CoRR, 2021

CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Diversity and Consistency: Exploring Visual Question-Answer Pair Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features.
IEEE Access, 2020

2019
Exploring Pre-trained Language Models for Event Extraction and Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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