Guohua Wang

Orcid: 0000-0001-9705-4993

Affiliations:
  • South China University of Technology, Guangzhou, China


According to our database1, Guohua Wang authored at least 12 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Towards Bridged Vision and Language: Learning Cross-Modal Knowledge Representation for Relation Extraction.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Towards Automated Infographic Authoring From Natural Language Statement With Multiple Proportional Facts.
IEEE Trans. Multim., 2024

A Knowledge-Enhanced and Topic-Guided Domain Adaptation Model for Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2024

Knowledge-Guided Cross-Topic Visual Question Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022
Task-Adaptive Feature Fusion for Generalized Few-Shot Relation Classification in an Open World Environment.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Multi-Agent Communication Based Model for Nested Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization.
Sensors, 2021

Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Nested Named Entity Recognition Model Based on Multi-agent Communication Mechanism (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Incorporating Boundary and Category Feature for Nested Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2020

A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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