Yike Wu

Orcid: 0000-0001-7384-8836

Affiliations:
  • Nankai University, School of Journalism and Communication, Tianjin, China


According to our database1, Yike Wu authored at least 20 papers between 2019 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Multimodal Taylor Series Network for Misinformation Detection.
Proceedings of the ACM on Web Conference 2025, 2025

Enhancing Fake News Detection by Incorporating Evidence Credibility.
Proceedings of the International Joint Conference on Neural Networks, 2025

HealthBridge: A Cross-lingual Clustering Framework for English-Chinese Health News.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

SWAM: Adaptive Sliding Window and Memory-Augmented Attention Model for Rumor Detection.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Towards Robust Evidence-Aware Fake News Detection via Improving Semantic Perception.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

rT5: A Retrieval-Augmented Pre-trained Model for Ancient Chinese Entity Description Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Density-Aware Prototypical Network for Few-Shot Relation Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
When Pairs Meet Triplets: Improving Low-Resource Captioning via Multi-Objective Optimization.
ACM Trans. Multim. Comput. Commun. Appl., 2022

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

DEAR: Dual-Level Self-attention GRU for Online Early Prediction of Sepsis.
Proceedings of the Web Information Systems and Applications, 2022

2021
An Object-Extensible Training Framework for Image Captioning.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Language Resource Efficient Learning for Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019
Improving Captioning for Low-Resource Languages by Cycle Consistency.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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