Nier Wu

Orcid: 0009-0006-2521-4058

According to our database1, Nier Wu authored at least 40 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Mongolian-Chinese Cross-Lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

An Enhanced Method for Mongolian-Chinese Neural Machine Translation Using Multilingual Datastores and Chinese-Centric Methods.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

SITD-NMT: Synchronous Inference NMT with Turing Re-Translation Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Review of Mongolian Neural Machine Translation from the Perspective of Training.
Proceedings of the International Joint Conference on Neural Networks, 2024

ICLFP-NMT: Neural Machine Translation for ICL Flexible Prompt.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Mongolian-Chinese Neural Machine Translation Based on Sustained Transfer Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

A Task-Efficient Gradient Guide Knowledge Distillation for Pre-train Language Model Compression.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Cross-Lingual Word Embedding Generation Based on Procrustes-Hungarian Linear Projection.
Proceedings of the International Conference on Asian Language Processing, 2024

Mongolian-Chinese Cross-lingual Topic Detection Based on Knowledge Distillation.
Proceedings of the International Conference on Asian Language Processing, 2024

Review of Research on Mongolian Fixed Phrases Recognition.
Proceedings of the International Conference on Asian Language Processing, 2024

2023
Quantitative T2 mapping monitoring the maturation of engineered elastic cartilage in a rabbit model.
BMC Medical Imaging, December, 2023

An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Multimodal Neural Machine Translation for Mongolian to Chinese.
Proceedings of the International Joint Conference on Neural Networks, 2022

Generating Adversarial Examples for Low-Resource NMT via Multi-Reward Reinforcement Learning.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory.
Proceedings of the Machine Translation - 18th China Conference, 2022

Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation.
Proceedings of the Machine Translation - 18th China Conference, 2022

Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation.
Proceedings of the Machine Translation - 18th China Conference, 2022

Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples.
Proceedings of the Machine Translation - 18th China Conference, 2022

2021
Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Bayesian Belief Network Model Using Sematic Concept for Expert Finding.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Low-Resource Neural Machine Translation with Neural Episodic Control.
Proceedings of the International Joint Conference on Neural Networks, 2021

Semantically Constrained Document-Level Chinese-Mongolian Neural Machine Translation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Low-Resource Neural Machine Translation Using Fast Meta-learning Method.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Low-Resource Neural Machine Translation Using XLNet Pre-training Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

A Strategy for Referential Problem in Low-Resource Neural Machine Translation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Low-Resource Machine Translation Based on Asynchronous Dynamic Programming.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

Low-Resource Neural Machine Translation Based on Improved Reptile Meta-learning Method.
Proceedings of the Machine Translation - 17th China Conference, 2021

Semantic Perception-Oriented Low-Resource Neural Machine Translation.
Proceedings of the Machine Translation - 17th China Conference, 2021

2020
Adversarial Training for Unknown Word Problems in Neural Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Research on Mongolian-Chinese machine translation based on the end-to-end neural network.
Int. J. Wavelets Multiresolution Inf. Process., 2020

Improving Mongolian-Chinese Machine Translation with Automatic Post-editing.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Word-Level Error Correction in Non-autoregressive Neural Machine Translation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Neural Machine Translation Based on Prioritized Experience Replay.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Neural Machine Translation Based on Improved Actor-Critic Method.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Multi-reward Based Reinforcement Learning for Neural Machine Translation.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

2019
Noise-Based Adversarial Training for Enhancing Agglutinative Neural Machine Translation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Training with Additional Semantic Constraints for Enhancing Neural Machine Translation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language.
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.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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