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Ziyang Wang

Ziyang Wang has 4 papers in our library, in 2019–2026, most of them on Language models & pretraining, Machine translation, Speech & spoken language; often with Bei Li, Biyuan Lin, Chen Xu.

4 papers in our library · 2019–2026

OpenAlex · h-index 0 · 6 works · 0 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 55 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6852

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Huazhong University of Science and TechnologyWuhan · China2026 · 2 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2026 · 1 papercurrent🎓University of Science and Technology of ChinaHefei · China2026 · 1 papercurrent

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksSignal Processing · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Machine translation · 1 workLanguage models & pretraining · 3 worksSpeech & spoken language · 1 workEfficient models & compression · 1 work

 Works by year

2020s

20262 papers20251 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The NiuTrans Machine Translation Systems for 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 (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 (2026 · 1 citation)
    Evaluating audio foundation models (AFMs) is difficult because benchmarks and evaluation code are scattered across sources.
  4. GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models (2026)
    Serving large language models is costly because weights, attention computation and the KV cache all consume memory and add latency.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. The NiuTrans Machine Translation Systems for WMT19Conference on Machine Translation (WMT)Bei Li, Yinqiao Li, Chen Xu, et al.2019 · 92 citations
  2. Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Zikai Xiao, Ziyang Wang, Wen Ma, et al.2025 · 5 citations
  3. UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qundong Shi, Jie Zhou, Biyuan Lin, et al.2026 · 1 citation
  4. GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.2026
  5. Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYuanlei Zheng et al.2026

 Co-authors here

12 of 20 co-authors with a page, the most papers together first.

Venues

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

 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 →.

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