---
title: "Zhangyang Wang — author profile and papers in our library"
description: "Zhangyang Wang, Sun Yat-sen University: 2 papers on Elamur Research (2025–2026), h-index 61 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/zhangyang-wang/"
---
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# Zhangyang Wang

Zhangyang Wang has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Ming Jin](https://md.research.elamur.ai/free/en/authors/ming-jin/), [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/), [Yiyuan Yang](https://md.research.elamur.ai/free/en/authors/yiyuan-yang/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5048522863) · [ORCID](https://orcid.org/0000-0002-2050-5693) · [Wikidata](https://www.wikidata.org/wiki/Q130936153) · [**h-index 61**](https://openalex.org/authors/A5048522863) · [460 works](https://openalex.org/works?filter=author.id:A5048522863) · [21,202 citations](https://openalex.org/works?filter=author.id:A5048522863&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhangyang-wang/#papers) · [🔗 Cited 268 times in our library](https://md.research.elamur.ai/free/en/authors/zhangyang-wang/cited-by/) · [14 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8899](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8899)

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=Zhangyang+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhangyang+Wang) · [dblp](https://dblp.org/search?q=Zhangyang+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhangyang+Wang)

## Affiliations

[🎓**The University of Texas at Austin** Austin · United States 2020–2026 · 274 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**Sun Yat-sen University** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Texas A&M University** College Station · United States 2016–2021 · 64 papers](https://md.research.elamur.ai/free/en/universities/texas-a-m-university/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2015–2019 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**University of Science and Technology of China** Hefei · China 2012–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Adobe Systems** San Jose · United States 2015–2021 · 6 papers](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**University of California, Berkeley** Berkeley · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Yale University** New Haven · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/yale-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 more institutions on single bylines are not listed.

## 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 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/)

🧭 Topics 2 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement](https://md.research.elamur.ai/free/en/papers/kong-2025-time-mqa-time-series-multi/)** *(2025 · 21 citations)* Most time series research targets one numerical task at a time, such as forecasting or anomaly detection. There is also little data that pairs natural language with time series, which holds back models able to discuss and reason about temporal data. The authors propose Time-MQA, a framework that treats several time…
2. **[Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration](https://md.research.elamur.ai/free/en/papers/shen-2026-improving-throughput-diffusion-based-large/)** *(2026 · 2 citations)* Diffusion-based LLMs (dLLMs) such as LLaDA and DREAM generate text by repeatedly denoising masked positions, which makes inference slow.

## All works

16 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better ↗](https://doi.org/10.1109/iccv.2019.00897) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Orest Kupyn et al.*2019 · 1,165 citations*
2. **[Graph Contrastive Learning with Augmentations ↗](https://openalex.org/W3102419180) neural information processing systems · no summary yet**Yuning You et al.*2020 · 882 citations*
3. **[Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators ↗](https://doi.org/10.1109/iccv51070.2023.01462) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Levon Khachatryan et al.*2023 · 415 citations*
4. **[Single Image Deraining: A Comprehensive Benchmark Analysis ↗](https://doi.org/10.1109/cvpr.2019.00396) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Siyuan Li et al.*2019 · 344 citations*
5. **[AutoGAN: Neural Architecture Search for Generative Adversarial Networks ↗](https://doi.org/10.1109/iccv.2019.00332) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xinyu Gong et al.*2019 · 322 citations*
6. **[LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS ↗](https://doi.org/10.52202/079017-4447) neural information processing systems · no summary yet**Zhiwen Fan et al.*2024 · 274 citations*
7. **[Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images ↗](https://arxiv.org/abs/1905.06368) arXiv:1905.06368 · no summary yet**Wuyang Chen et al.*2019 · 194 citations*
8. **[Self-Supervised Learning for Generalizable Out-of-Distribution Detection ↗](https://doi.org/10.1609/aaai.v34i04.5966) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sina Mohseni et al.*2020 · 151 citations*
9. **[AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts ↗](https://doi.org/10.1109/iccv51070.2023.01591) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Tianlong Chen et al.*2023 · 86 citations*
10. **[Vision HGNN: An Image is More than a Graph of Nodes ↗](https://doi.org/10.1109/iccv51070.2023.01820) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yan Han et al.*2023 · 86 citations*
11. **[LLM-PBE: Assessing Data Privacy in Large Language Models ↗](https://doi.org/10.14778/3681954.3681994) Proceedings of the VLDB Endowment · no summary yet**Qinbin Li et al.*2024 · 65 citations*
12. **[EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval ↗](https://doi.org/10.1109/cvpr52688.2022.01752) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Haoyu Ma et al.*2022 · 63 citations*
13. **[Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ↗](https://arxiv.org/abs/2403.15447) arXiv (Cornell University) · no summary yet**Junyuan Hong et al.*2024 · 23 citations*
14. **[Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement](https://md.research.elamur.ai/free/en/papers/kong-2025-time-mqa-time-series-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, et al.*2025 · 21 citations*
15. **[Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization ↗](https://arxiv.org/abs/2402.14270) arXiv:2402.14270 · no summary yet**Xuxi Chen et al.*2024 · 8 citations*
16. **[Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration](https://md.research.elamur.ai/free/en/papers/shen-2026-improving-throughput-diffusion-based-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jucheng Shen, Gaurav Sarkar, Yeonju Ro, et al.*2026 · 2 citations*

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Ming Jin](https://md.research.elamur.ai/free/en/authors/ming-jin/)
- [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/)
- [Yiyuan Yang](https://md.research.elamur.ai/free/en/authors/yiyuan-yang/)

## Venues

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

- IEEE/CVF International Conference on Computer Vision (ICCV) ×5
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- neural information processing systems ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- Proceedings of the AAAI Conference on Artificial Intelligence
- Proceedings of the VLDB Endowment

## Cited by

Papers of our library cite their works 268 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhangyang-wang/cited-by/).

Updated 31 October 2026