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Yatu Ji
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2020 – today
- 2024
- [c24]Hao Xing, Nier Wu, Yatu Ji, Yang Liu, Na Liu, Min Lu:
Cross-Lingual Word Embedding Generation Based on Procrustes-Hungarian Linear Projection. IALP 2024: 1-6 - [c23]Xiaolong Sui, Zhonghao Zhang, Na Liu, Guiping Liu, Yatu Ji, Qing-Dao-Er-Ji Ren, Nier Wu, Min Lu:
Review of Research on Mongolian Fixed Phrases Recognition. IALP 2024: 192-198 - [c22]Yanli Wang, Yatu Ji, Baolei Sun, Qing-Dao-Er-Ji Ren, Nier Wu, Na Liu, Min Lu, Chen Zhao, Yepai Jia:
Mongolian-Chinese Cross-lingual Topic Detection Based on Knowledge Distillation. IALP 2024: 383-388 - [c21]Nier Wu
, Wenhong Wu, Yatu Ji, Yang Liu, Min Lu, Na Liu:
ICLFP-NMT: Neural Machine Translation for ICL Flexible Prompt. ICIC (LNAI 3) 2024: 138-150 - [c20]Bailun Wang, Yatu Ji, Nier Wu, Xu Liu, Yanli Wang, Rui Mao, Shuai Yuan, Qing-Dao-Er-Ji Ren, Na Liu, Xufei Zhuang, Min Lu:
Mongolian-Chinese Neural Machine Translation Based on Sustained Transfer Learning. ICIC (LNAI 3) 2024: 304-315 - [c19]Yatu Ji, Zhang Huinuan, Nier Wu, Qing-dao-er-ji Ren, Lu Min, Shi Bao:
A Review of Mongolian Neural Machine Translation from the Perspective of Training. IJCNN 2024: 1-10 - [c18]Nier Wu, Xufei Zhuang, Hao Xing, Yatu Ji, Yang Liu, Qing-Dao-Er-Ji Ren, Bao Shi:
SITD-NMT: Synchronous Inference NMT with Turing Re-Translation Detection. IJCNN 2024: 1-9 - [c17]Bailun Wang, Yatu Ji, Nier Wu, Xu Liu, Yanli Wang, Rui Mao, Chao Zhou, Yepai Jia, Chen Zhao, Qing-Dao-Er-Ji Ren, Na Liu:
An Enhanced Method for Mongolian-Chinese Neural Machine Translation Using Multilingual Datastores and Chinese-Centric Methods. NLPCC (4) 2024: 159-170 - [c16]Yanli Wang, Yatu Ji, Baolei Sun, Nier Wu, Qing-Dao-Er-Ji Ren, Bailun Wang:
Mongolian-Chinese Cross-Lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods. PRICAI (2) 2024: 187-199 - [c15]Rui Mao, Xufei Zhuang, Xudong Gao, Haitao Zhang, Qing-Dao-Er-Ji Ren, Bao Shi, Yatu Ji, Nier Wu:
Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting. PRICAI (1) 2024: 416-428 - 2023
- [c14]Na Liu
Multi-task Learning for Mongolian Morphological Analysis. ICANN (9) 2023: 65-77 - [c13]Xu Liu, Yila Su, Nier Wu, Yatu Ji, Qing-Dao-Er-Ji Ren, Lu Min:
An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning. ICONIP (8) 2023: 327-340 - 2022
- [j2]ShaoDong Cui, Yi La Su
An end-to-end network for irregular printed Mongolian recognition. Int. J. Document Anal. Recognit. 25(1): 41-50 (2022) - 2021
- [c12]Yatu Ji
A Strategy for Referential Problem in Low-Resource Neural Machine Translation. ICANN (5) 2021: 321-332 - [c11]Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng:
Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation. PRICAI (2) 2021: 46-57 - 2020
- [j1]Yatu Ji
Adversarial Training for Unknown Word Problems in Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 17:1-17:12 (2020) - [c10]Tiangang Bai, Hongxu Hou, Yatu Ji:
Sub-word Embedding Auxiliary Encoding in Mongolian-Chinese Neural Machine Translation. ICSCA 2020: 292-296
2010 – 2019
- 2019
- [c9]Yatu Ji
Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise. ACL (2) 2019: 123-129 - [c8]Yatu Ji
Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language. ICANN (4) 2019: 326-336 - [c7]Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai, Yi Jing:
GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis. ICONIP (4) 2019: 189-197 - [c6]Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang Bai:
Graph-Based Attention Networks for Aspect Level Sentiment Analysis. ICTAI 2019: 1188-1194 - [c5]Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao:
Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis. IJCNN 2019: 1-7 - [c4]Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai:
RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis. KSEM (1) 2019: 667-675 - [c3]Yatu Ji
Training with Additional Semantic Constraints for Enhancing Neural Machine Translation. PRICAI (1) 2019: 300-313 - [c2]Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu:
Noise-Based Adversarial Training for Enhancing Agglutinative Neural Machine Translation. PRICAI (1) 2019: 392-396 - 2018
- [c1]Yatu Ji, Hongxu Hou, Ying Lei, Zhong Ren:
An Optimized Regularization Method to Enhance Low-Resource MT. PDCAT 2018: 285-295
Coauthor Index
aka: Qing-dao-er-ji Ren
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