Rui DONG, master supervisor. He received his B.S. from Jilin University, and completed his Ph.D. at the Graduate School of the Chinese Academy of Sciences. He is engaged in the research of key technologies of multilingual information processing, and his main research direction is text classification, machine translation, named entity recognition and other tasks related to natural language processing.

Research Areas and Achievements:

DONG mainly engaged in research of multilingual NLP technologies, including machine translation, language identification, topic detection, and content understanding.

Honor:

Xinjiang Science and Technology Progress Award, first class, 4/12;

Youth Innovation Promotion Association of Chinese Academy of Sciences;

Tianshan Excellent Young Scholars of Xinjiang.

Representative Publications:

• Rui DONG, Yating YANG, Tonghai JIANG. Uyghur neural network named entity recognition based on multi linguistic features [J]. Computer Applications and Software, 2020, v.37(05):189-194.
• R. DONG, Y. YANG, T. JIANG. Spelling Correction of Non-Word Errors in Uyghur–Chinese Machine Translation[J]. Information, 2019, 10(6): 202.
• Y. LI, X. LI, Y. YANG, R. DONG. A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation[J]. Information, 2020, 11(5): 255.
• Y. PAN, X. LI, Y. YANG, R. DONG. Multi-Source Neural Model for Machine Translation of Agglutinative Language[J]. Future Internet, 2020, 12(6): 96.
• X. ZHANG, X. LI, Y. YANG, R. DONG. Improving low-resource neural machine translation with teacher-free knowledge distillation[J]. IEEE Access, 2020.
• W. ZHANG, X. LI, Y. YANG, R. DONG, G. LUO. Keeping Models Consistent between Pretraining and Translation for Low-Resource Neural Machine Translation[J]. Future Internet, 2020, 12(12): 215.
• Yirong PAN, Xiao LI, Yating YANG, Rui DONG. Multi-Task Neural Model for Agglutinative Language Translation[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. 2020: 103-110.
• Yirong PAN, Xiao LI, Yating YANG, Rui DONG. Hierarchical multi-features combination model for Uyghur-Chinese machine translation [J]. Journal of Xiamen University (Natural Science), 2020, 59(02):206-212.
• Yirong PAN, Xiao LI, Yating YANG, Rui DONG. Bilingual relatedness optimization model for Chinese-Uyghur machine translation [J]. Application Research of Computers, 2020, 37(03):726-730.
• Xinlu ZHANG, Xiao LI, Yating YANG, Lei WANG, Rui DONG. Analysis of Bi-directional Reranking Model for Uyghur-Chinese Neural Machine Translation[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2020, v.56; No.297(01):34-41.

Research Interests:

Natural language processing.