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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
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publications
Machine Translation: Foundations and Models
Published in Arxiv, 2021
This is a book everything you need to know when you start to learning something about NLP. The book was compiled by Professors Tong Xiao and Jingbo Zhu, and I was responsible for the development of the LaTeX code.
Recommended citation:
Download Paper | Download Bibtex
The NiuTrans Machine Translation Systems for WMT20
Published in Workshop, 2022
WMT20 Rank first in Japanese↔English both side.
Recommended citation: Zhang Y, Wang Z, Cao R, et al. The niutrans machine translation systems for wmt20[C]//Proceedings of the Fifth Conference on Machine Translation. 2020: 338-345.
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The NiuTrans Machine Translation Systems for WMT22
Published in Workshop, 2022
Our models are based on several advanced Transformer variants, e.g., Transformer-ODE, Universal Multiscale Transformer (UMST). The main workflow consists of data filtering, large-scale data augmentation (i.e., iterative back-translation, iterative knowledge distillation), and specific-domain fine-tuning.
Recommended citation: Zhang Y, Wang Z, Cao R, et al. The niutrans machine translation systems for wmt20[C]//Proceedings of the Fifth Conference on Machine Translation. 2020: 338-345.
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A Survey on Conditional Computation
Published in Arxiv, 2023
Survey on research about early exit and mixture of expert.
Recommended citation: Shan W, et al. A Survey on Conditional Computation[J]. 2023.
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Early exit is a natural capability in transformer-based models: An empirical study on early exit without joint optimization
Published in Arxiv, 2023
We explore the possibility of LLMs EE without additional output layers and joint optimization.
Recommended citation: Shan W, Meng L, Zheng T, et al. Early exit is a natural capability in transformer-based models: An empirical study on early exit without joint optimization[J]. arXiv preprint arXiv:2412.01455, 2024.
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HW-TSC 2024 Submission for the Quality Estimation Shared Task
Published in Workshop, 2024
This paper focuses on Huawei Translation Services Center’s (HW-TSC’s) submission to the sentence-level QE shared task.
Recommended citation: Shan W, Zhu M, Li Y, et al. HW-TSC 2024 Submission for the Quality Estimation Shared Task[C]//Proceedings of the Ninth Conference on Machine Translation. 2024: 535-540.
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[Co-author] PartialFormer: Modeling Part Instead of Whole for Machine Translation
Published in ACL 2024 Fingdings, 2024
We introduce PartialFormer, a parameter-efficient Transformer architecture utilizing multiple smaller FFNs to reduce parameters and computation while maintaining essential hidden dimensions.
Recommended citation: Zhang Y, Ma X, Kou K, et al. Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech Translation[J]. arXiv preprint arXiv:2505.15333, 2025.
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Optimizing Speech Multi-View Feature Fusion through Conditional Computation
Published in ICASSP IEEE, 2024
We propose a novel generalized feature fusion framework grounded in conditional computation, mitigates feature conflicts and bolsters model robustness to multi-view input features.
Recommended citation: Shan W, Zhang Y, Han Y, et al. Optimizing Speech Multi-View Feature Fusion through Conditional Computation[C]//ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025: 1-5.
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[Co-author] Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech Translation
Published in ACL 2025 Fingdings, 2025
We propose the unit language to overcome the two modeling challenges. The unit language can be considered a text-like representation format, constructed using n-gram language modeling.
Recommended citation: Zhang Y, Ma X, Kou K, et al. Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech Translation[J]. arXiv preprint arXiv:2505.15333, 2025.
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Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders
Published in EMNLP, 2025
We propose Prompt-aware Mixture (PaM) to enhance the Speech LLM that uses multiple audio encoders.
Recommended citation: **Shan W**, Li Y, Zhang Y, et al. Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders[J]. arXiv preprint arXiv:2502.15178, 2025.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.