Yatu Ji

According to our database, Yatu Ji authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning.

Xu Liu, Yila Su, Wu Nier, Yatu Ji, Ren Qing-Dao-Er Ji, Min Lu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-task Learning for Mongolian Morphological Analysis.

Na Liu, Ren Qing-Dao-Er-Ji, Xiangdong Su, Yatu Ji, Aodengbala, Guiping Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

An end-to-end network for irregular printed Mongolian recognition.

ShaoDong Cui, Yi La Su, Qing-dao-er-ji Ren, Yatu Ji

Int. J. Document Anal. Recognit., 2022

2021

Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation.

Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

A Strategy for Referential Problem in Low-Resource Neural Machine Translation.

Yatu Ji, Lei Shi, Yi La Su, Qing-dao-er-ji Ren, Nier Wu, Hongbin Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Adversarial Training for Unknown Word Problems in Neural Machine Translation.

Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Sub-word Embedding Auxiliary Encoding in Mongolian-Chinese Neural Machine Translation.

Tiangang Bai, Hongxu Hou, Yatu Ji

Proceedings of the 9th International Conference on Software and Computer Applications, 2020

2019

Noise-Based Adversarial Training for Enhancing Agglutinative Neural Machine Translation.

Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Training with Additional Semantic Constraints for Enhancing Neural Machine Translation.

Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis.

Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai

Proceedings of the Knowledge Science, Engineering and Management, 2019

Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis.

Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao

Proceedings of the International Joint Conference on Neural Networks, 2019

Graph-Based Attention Networks for Aspect Level Sentiment Analysis.

Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang Bai

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis.

Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai, Yi Jing

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language.

Yatu Ji, Hongxu Hou, Nier Wu, Junjie Chen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise.

Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

An Optimized Regularization Method to Enhance Low-Resource MT.

Yatu Ji, Hongxu Hou, Ying Lei, Zhong Ren

Proceedings of the Parallel and Distributed Computing, 2018