Rui Dong

Orcid: 0000-0002-4110-3976

Affiliations:
  • Chinese Academy of Science, Xinjiang Technical Institute of Physics and Chemistry, Urumqi, China


According to our database1, Rui Dong authored at least 33 papers between 2015 and 2026.

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

2026
Flickr-ABS: A Benchmark for Abstract Intent in Image-Text Retrieval.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

M3UCD: A Multi-task Multimodal Metaphor Understanding Challenge Dataset for LLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
TIDE: Achieving Balanced Subject-Driven Image Generation via Target-Instructed Diffusion Enhancement.
CoRR, September, 2025

SGEU: enhancing LLM reasoning via backward exemplar generation and verification.
Appl. Intell., July, 2025

Cross-lingual prompting method with semantic-based answer space clustering.
Appl. Intell., January, 2025

M<sup>2</sup>-VLP: Enhancing Multilingual Vision-Language Pre-Training via Multi-Grained Alignment.
Proceedings of the ACM on Web Conference 2025, 2025

ISIPN: Intention-Semantic Incongruity Perception Network for Multimodal Metaphor Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Self-Distillation Across Modalities: Enhancing Cross-Modal Correlation Perception for Multimodal Fake News Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

LyRE: Learning Varying Fusion Degrees with Hierarchical Aggregation to Improve Multimodal Misinformation Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Bidirectional Feature Fusion and Adaptive Decision Network for Multimodal Fake News Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mining the Past with Dual Criteria: Integrating Three types of Historical Information for Context-aware Event Forecasting.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

OpenForecast: A Large-Scale Open-Ended Event Forecasting Dataset.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Low-Resource Language Expansion and Translation Capacity Enhancement for LLM: A Study on the Uyghur.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Pruning Residual Networks in Multilingual Neural Machine Translation to Improve Zero-Shot Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

2023
WAD-X: Improving Zero-shot Cross-lingual Transfer via Adapter-based Word Alignment.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2023

A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Pre-Training on Mixed Data for Low-Resource Neural Machine Translation.
Inf., 2021

Hybrid System Combination Framework for Uyghur-Chinese Machine Translation.
Inf., 2021

RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction.
Comput. Intell. Neurosci., 2021

2020
A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation.
Inf., 2020

Keeping Models Consistent between Pretraining and Translation for Low-Resource Neural Machine Translation.
Future Internet, 2020

Multi-Source Neural Model for Machine Translation of Agglutinative Language.
Future Internet, 2020

Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation.
CoRR, 2020

Improving Low-Resource Neural Machine Translation With Teacher-Free Knowledge Distillation.
IEEE Access, 2020

Constructing Uyghur Named Entity Recognition System Using Neural Machine Translation Tag Projection.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

Multi-Task Neural Model for Agglutinative Language Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019
Spelling Correction of Non-Word Errors in Uyghur-Chinese Machine Translation.
Inf., 2019

Research of Uyghur-Chinese Machine Translation System Combination Based on Semantic Information.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

2017
Log-linear Models for Uyghur Segmentation in Spoken Language Translation.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

A Content-Based Neural Reordering Model for Statistical Machine Translation.
Proceedings of the Machine Translation - 13th China Workshop, 2017

2015
Optimized Uyghur Segmentation for Statistical Machine Translation.
Proceedings of the Natural Language Processing and Information Systems, 2015


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