| 2026 | AAAI | Constraint-Augmented Mongolian-Chinese Neural Machine Translation Based on Dynamic Feedback Alignment (Student Abstract). | Shuting Dai, Yatu Ji, Yanli Wang, Lei Shi, Qing-Dao-Er-Ji Ren, Nier Wu, Na Liu |
| 2026 | AAAI | iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract). | Xiang Xue, Yatu Ji, Qing-Dao-Er-Ji Ren, Bao Shi, Min Lu, Nier Wu, Xufei Zhuang, Haiteng Xu, Gan-qi-qi-ge Cha |
| 2026 | KSEM | AMR-Based Semantic-Level Data Augmentation Method for Mongolian-Chinese Neural Machine Translation. | Shuting Dai, Yatu Ji, Qing-Dao-Er-Ji Ren, Nier Wu, Na Liu, Shuo Sun |
| 2025 | ACL | A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation. | Yepai Jia, Yatu Ji, Xiang Xue, Lei Shi, Qing-Dao-Er-Ji Ren, Nier Wu, Na Liu, Chen Zhao, Fu Liu |
| 2025 | ACL | Neural Machine Translation for Agglutinative Languages via Data Rejuvenation. | Chen Zhao, Yatu Ji, Qing-Dao-Er-Ji Ren, Nier Wu, Lei Shi, Fu Liu, Yepai Jia |
| 2025 | CGI | AGRC-ViMamba: A Robust Neural Network Architecture for Enhanced Small Target Detection Against Information Loss. | Yang Liu, Yatu Ji, Lei Shi, Qing-Dao-Er-Ji Ren, Bao Shi, Nier Wu, Xufei Zhuang, Haiteng Xu |
| 2025 | IJCNN | LDFC-YOLO: A Detector for Electron Microscope Images of Cashmere and Wool. | Haiteng Xu, Yatu Ji, Qing-Dao-Er-Ji Ren, Min Lu |
| 2025 | IJCNN | Dependent syntactic analysis of Mongolian based on semi-supervised self-training. | Zhonghao Zhang, Jiajia Ma, Na Liu, Nier Wu, Yatu Ji, Guiping Liu |
| 2025 | IJCNN | Lite Mongolian-Chinese Neural Machine Translation: Dynamic Convolution with Long-Range Attention. | Chen Zhao, Yatu Ji, Qing-Dao-Er-Ji Ren, Min Lu |
| 2025 | KSEM | Improving Mongolian-Chinese Translation Quality Using Noise-Enhanced mBART. | Bailun Wang, Yatu Ji, Nier Wu |
| 2025 | PRICAI | Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers Through Intermediate Encoding Within a Multimodal Framework. | Qian Guo, Min Lu, Qing-dao-er-ji Ren, Bao Shi, Nier Wu, Yatu Ji, Na Liu |
| 2025 | PRICAI | SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation. | Hao Xing, Nier Wu, Yang Liu, Yatu Ji, Shuo Sun, Min Lu |
| 2024 | ICONIP | Short-Term Wind Power Prediction Based on CNN-Transformer. | Tan Liu, Na Liu, Guiping Liu, Kunjie Liu, Min Lu, Yatu Ji, Nier Wu |
| 2024 | IJCNN | A Review of Mongolian Neural Machine Translation from the Perspective of Training. | Yatu Ji, Zhang Huinuan, Nier Wu, Qing-dao-er-ji Ren, Lu Min, Shi Bao |
| 2024 | IJCNN | SITD-NMT: Synchronous Inference NMT with Turing Re-Translation Detection. | Nier Wu, Xufei Zhuang, Hao Xing, Yatu Ji, Yang Liu, Qing-Dao-Er-Ji Ren, Bao Shi |
| 2024 | PG | A Fiber Image Classification Strategy Based on Key Module Localization. | Yatu Ji, Xiang Xue, Yang Liu, Haiteng Xu, Qing-Dao-Er-Ji Ren, Bao Shi, Nier Wu, Min Lu, Xuanxuan Xu, Li Wang, Ling Jie Dai, Miaomiao Yao, Xiaomei Li |
| 2024 | PG | Img2PatchSeqAD: Industrial Image Anomaly Detection Based on Image Patch Sequence. | Yang Liu, Yatu Ji, Xiang Xue, Haiteng Xu, Qing-Dao-Er-Ji Ren, Bao Shi, Nier Wu, Min Lu, Xuanxuan Xu, H. X. Guo, Li Wang, Ling Jie Dai, Miaomiao Yao, Xiaomei Li |
| 2024 | PG | SPDD-YOLO for Small Object Detection in UAV Images. | Xiang Xue, Yatu Ji, Yang Liu, Haiteng Xu, Qing-Dao-Er-Ji Ren, Bao Shi, Nier Wu, Min Lu, Xufei Zhuang |
| 2024 | PRICAI | Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting. | Rui Mao, Xufei Zhuang, Xudong Gao, Haitao Zhang, Qing-Dao-Er-Ji Ren, Bao Shi, Yatu Ji, Nier Wu |
| 2024 | PRICAI | Mongolian-Chinese Cross-Lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods. | Yanli Wang, Yatu Ji, Baolei Sun, Nier Wu, Qing-Dao-Er-Ji Ren, Bailun Wang |
| 2023 | ICANN | Multi-task Learning for Mongolian Morphological Analysis. | Na Liu, Qing-Dao-Er-Ji Ren, Xiangdong Su, Yatu Ji, Aodengbala, Guiping Liu |
| 2023 | ICONIP | An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning. | Xu Liu, Yila Su, Nier Wu, Yatu Ji, Qing-Dao-Er-Ji Ren, Lu Min |
| 2023 | PG | A Simple Stochastic Regularization Technique for Avoiding Overfitting in Low Resource Image Classification. | Yatu Ji, Bailun Wang, Qing-Dao-Er-Ji Ren, Bao Shi, Nier Wu, Min Lu, Na Liu, Xufei Zhuang, Xuanxuan Xu, Li Wang, Ling Jie Dai, Miaomiao Yao, Xiaomei Li |
| 2023 | PG | Combining Transformer and CNN for Super-Resolution of Animal Fiber Microscopy Images. | Jiagen Li, Yatu Ji, Min Lu, Li Wang, Lingjie Dai, Xuanxuan Xu, Nier Wu, Na Liu |
| 2023 | PG | Detection of Impurities in Wool Based on Improved YOlOV8. | Yang Liu, Yatu Ji, Qing-Dao-Er-Ji Ren, Bao Shi, Xufei Zhuang, Miaomiao Yao, Xiaomei Li |
| 2021 | ICANN | 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 |
| 2021 | PRICAI | Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation. | Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng |
| 2019 | ACL | Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise. | Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu |
| 2019 | ICANN | Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language. | Yatu Ji, Hongxu Hou, Nier Wu, Junjie Chen |
| 2019 | ICONIP | 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 |
| 2019 | IJCNN | Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis. | Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao |
| 2019 | ICTAI | Graph-Based Attention Networks for Aspect Level Sentiment Analysis. | Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang Bai |
| 2019 | KSEM | RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis. | Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai |
| 2019 | PRICAI | Training with Additional Semantic Constraints for Enhancing Neural Machine Translation. | Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu |
| 2019 | PRICAI | Noise-Based Adversarial Training for Enhancing Agglutinative Neural Machine Translation. | Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu |
| 2018 | PDCAT | An Optimized Regularization Method to Enhance Low-Resource MT. | Yatu Ji, Hongxu Hou, Ying Lei, Zhong Ren |