---
title: "Ziyang Wang — author profile and papers — Elamur Research"
description: "Ziyang Wang, Beijing Institute of Technology: 5 papers on Elamur Research (2019–2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/ziyang-wang/"
---
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# Ziyang Wang

Ziyang Wang has 5 papers in our library, in 2019–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/), [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/), [Chen Xu](https://md.research.elamur.ai/free/en/authors/chen-xu/).

5 papers in our library · 2019–2026

[OpenAlex](https://openalex.org/A5139732319) · [**h-index 0**](https://openalex.org/authors/A5139732319) · [6 works](https://openalex.org/works?filter=author.id:A5139732319) · [0 citations](https://openalex.org/works?filter=author.id:A5139732319&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/ziyang-wang/#papers) · [🔗 Cited 55 times in our library](https://md.research.elamur.ai/free/en/authors/ziyang-wang/cited-by/) · [⭐ Paper Stars ranking: #7960](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7960)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ziyang+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ziyang+Wang) · [dblp](https://dblp.org/search?q=Ziyang+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Ziyang+Wang)

## Affiliations

[🎓**Huazhong University of Science and Technology** Wuhan · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Beijing Institute of Technology** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 6 Research subjects and languages the work is about.[Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/ziyang-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/ziyang-wang/year/2025/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/ziyang-wang/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[The NiuTrans Machine Translation Systems for WMT19](https://md.research.elamur.ai/free/en/papers/li-2019-niutrans-machine-translation-systems-wmt19/)** *(2019 · 92 citations)* This paper documents the NiuTrans team's (Northeastern University and NiuTrans Co., Ltd.) entries to the WMT19 news translation shared task. They covered 13 directions: 11 supervised (EN↔{ZH, DE, RU, KK, LT} and GU→EN) and the unsupervised DE↔CS sub-track.
2. **[Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/xiao-2025-mitigating-posterior-salience-attenuation-long/)** *(2025 · 5 citations)* Long-context LLMs often perform worse as inputs grow, even when the input fits inside their nominal context window.
3. **[UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models](https://md.research.elamur.ai/free/en/papers/shi-2026-ultraeval-audio-unified-framework-comprehensive/)** *(2026 · 1 citation)* Evaluating audio foundation models (AFMs) is difficult because benchmarks and evaluation code are scattered across sources.
4. **[Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA](https://md.research.elamur.ai/free/en/papers/zheng-2026-doc-v-coarse-fine-interactive/)** *(2026)* The paper addresses question answering over long, visually dense multi-page documents without OCR. Existing approaches have clear weaknesses. End-to-end multimodal models handle long documents poorly as page counts grow. Visual RAG pipelines depend on a fixed top-k retrieval step and cannot adjust once reading…
5. **[GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-grasprune-global-gating-budgeted-structured/)** *(2026)* Serving large language models is costly because weights, attention computation and the KV cache all consume memory and add latency.

## Co-authors here

12 of 27 co-authors with a page, the most papers together first.

- [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/)
- [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/)
- [Chen Xu](https://md.research.elamur.ai/free/en/authors/chen-xu/)
- [Chuan Xiao](https://md.research.elamur.ai/free/en/authors/chuan-xiao/)
- [Guoyang Zeng](https://md.research.elamur.ai/free/en/authors/guoyang-zeng/)
- [Hang Li](https://md.research.elamur.ai/free/en/authors/hang-li/)
- [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/)
- [Jian Luan](https://md.research.elamur.ai/free/en/authors/jian-luan/)
- [Jianbin Qin](https://md.research.elamur.ai/free/en/authors/jianbin-qin/)
- [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/)
- [Junbo Cui](https://md.research.elamur.ai/free/en/authors/junbo-cui/)
- [Nuo Xu](https://md.research.elamur.ai/free/en/authors/nuo-xu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/): [WMT 2019](https://md.research.elamur.ai/free/en/venues/wmt/2019/)

## Cited by

Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ziyang-wang/cited-by/).

Updated 2 November 2026
