--- title: "Xinlong Wang · Beihang University — author profile and papers" description: "Xinlong Wang, Beihang University: 2 papers on Elamur Research (2023), h-index 40 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/xinlong-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xinlong-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xinlong Wang # Xinlong Wang Xinlong Wang has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Ledell Wu](https://md.research.elamur.ai/free/en/authors/ledell-wu/), [Yue Cao](https://md.research.elamur.ai/free/en/authors/yue-cao/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5100653846) · [ORCID](https://orcid.org/0000-0002-8137-1692) · [**h-index 40**](https://openalex.org/authors/A5100653846) · [194 works](https://openalex.org/works?filter=author.id:A5100653846) · [9,449 citations](https://openalex.org/works?filter=author.id:A5100653846&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xinlong-wang/#papers) · [🔗 Cited 459 times in our library](https://md.research.elamur.ai/free/en/authors/xinlong-wang/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4770](https://md.research.elamur.ai/free/en/paper-stars/page/48/#star-4770) 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=Xinlong+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinlong+Wang) · [dblp](https://dblp.org/search?q=Xinlong+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Xinlong+Wang) ## Affiliations [🎓**Nanjing University** Nanjing · China 1984–2026 · 63 papersEducation 1984–1987 · Master of Science, Department of Information PhysicsEducation 1987–1991 · Ph. D., Department of Information PhysicsEmployment 1991–1995 · Lecturer, Inst. of Acoust. & Dept of Info. Phys.Employment 1995–1999 · Associate Professor, Inst. of Acoust. & Dept. of Electro. Sci. & Tech.Employment 1999–2009 · Professor, Inst. of Acoust. & Dept. of Electro. Sci. & Tech.Employment since 2010 · Professor, Inst. of Acoust. & Dept. of Phys.*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Beihang University** Beijing · China 2005–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2021–2025 · 19 papers](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**The University of Adelaide** Adelaide · Australia 2019–2025 · 19 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-adelaide/) · [🎓**The University of Texas at Arlington** Arlington · United States 2017–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-arlington/) · [🔬**State Key Laboratory of Pollution Control and Resource Reuse** Nanjing · China 2004–2010 · 6 papers](https://ror.org/00073tb80) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Dalian Polytechnic University** Dalian · China 2024–2025 · 2 papers](https://ror.org/00c7x4a95) · [🎓**Central China Normal University** Wuhan · China 2024 · 2 papers](https://ror.org/03x1jna21) · [🎓**Dalian University of Technology** Dalian · China 2022–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/dalian-university-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 25 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/xinlong-wang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[EVA-CLIP: Improved Training Techniques for CLIP at Scale](https://md.research.elamur.ai/free/en/papers/sun-2023-eva-clip-improved-training-techniques/)** *(2023 · 184 citations)* Training CLIP-style image-text models at large scale is expensive and often unstable. EVA-CLIP, from the Beijing Academy of Artificial Intelligence, is a model family built around a set of training techniques that cut cost while raising zero-shot quality. The image encoder starts from EVA weights (EVA-01 or EVA-02… 2. **[JudgeLM: Fine-tuned Large Language Models are Scalable Judges](https://md.research.elamur.ai/free/en/papers/zhu-2023-judgelm-fine-tuned-large-language/)** *(2023 · 145 citations)* Open-ended outputs of large language models are hard to assess. Classic metrics such as BLEU, ROUGE or BERTScore miss answer quality. Human arenas are reliable but slow and costly. GPT-4 used as a grader raises reproducibility and privacy concerns. The authors respond by training open-source LLMs from the Vicuna… ## All works 8 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. **[EVA: Exploring the Limits of Masked Visual Representation Learning at Scale ↗](https://doi.org/10.1109/cvpr52729.2023.01855) 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**Yuxin Fang et al.*2023 · 612 citations* 2. **[Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model ↗](https://arxiv.org/abs/2401.09417) arXiv:2401.09417 · no summary yet**Lianghui Zhu et al.*2024 · 500 citations* 3. **[SOLOv2: Dynamic and Fast Instance Segmentation ↗](https://openalex.org/W3100039191) neural information processing systems · no summary yet**Xinlong Wang et al.*2020 · 477 citations* 4. **[SegGPT: Towards Segmenting Everything In Context ↗](https://doi.org/10.1109/iccv51070.2023.00110) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xinlong Wang et al.*2023 · 309 citations* 5. **[Associatively Segmenting Instances and Semantics in Point Clouds ↗](https://doi.org/10.1109/cvpr.2019.00422) 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**Xinlong Wang et al.*2019 · 282 citations* 6. **[Images Speak in Images: A Generalist Painter for In-Context Visual Learning ↗](https://doi.org/10.1109/cvpr52729.2023.00660) 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**Xinlong Wang et al.*2023 · 211 citations* 7. [**EVA-CLIP: Improved Training Techniques for CLIP at Scale arXiv:2303.15389**Quan Sun, Yuxin Fang, Ledell Wu, et al.*2023 · 184 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-eva-clip-improved-training-techniques/) 8. [**JudgeLM: Fine-tuned Large Language Models are Scalable Judges arXiv:2310.17631**Lianghui Zhu, Xinggang Wang, Xinlong Wang*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-judgelm-fine-tuned-large-language/) ## Co-authors here 2 co-authors with a page, the most papers together first. - [Ledell Wu](https://md.research.elamur.ai/free/en/authors/ledell-wu/) - [Yue Cao](https://md.research.elamur.ai/free/en/authors/yue-cao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×3 - IEEE/CVF International Conference on Computer Vision (ICCV) - neural information processing systems ## Cited by Papers of our library cite their works 459 times (of the 149,439 papers whose bibliographies we read); [71 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xinlong-wang/cited-by/). Updated 31 October 2026