--- title: "Jiuxiang Gu · Adobe Systems — author profile and papers" description: "Jiuxiang Gu, Adobe Systems: 4 papers on Elamur Research (2023–2026), h-index 24 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/jiuxiang-gu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiuxiang-gu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiuxiang Gu # Jiuxiang Gu Jiuxiang Gu has 4 papers in our library, in 2023–2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Ruiyi Zhang](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/), [Bingxuan Li](https://md.research.elamur.ai/free/en/authors/bingxuan-li/), [Changyou Chen](https://md.research.elamur.ai/free/en/authors/changyou-chen/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5005119482) · [ORCID](https://orcid.org/0000-0002-3437-5084) · [**h-index 24**](https://openalex.org/authors/A5005119482) · [116 works](https://openalex.org/works?filter=author.id:A5005119482) · [9,271 citations](https://openalex.org/works?filter=author.id:A5005119482&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/#papers) · [🔗 Cited 292 times in our library](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7677](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7677) 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=Jiuxiang+Gu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiuxiang+Gu) · [dblp](https://dblp.org/search?q=Jiuxiang+Gu) · [ACL Anthology](https://aclanthology.org/search/?q=Jiuxiang+Gu) ## Affiliations [🏢**Adobe Systems** San Jose · United States 2020–2026 · 69 papers*current*](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**Nanyang Technological University** Singapore · Singapore 2017–2020 · 10 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Texas A&M University** College Station · United States 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/texas-a-m-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Vision & language · 3 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2023-llavar-enhanced-visual-instruction-tuning/)** *(2023 · 98 citations)* Visual instruction-tuned assistants such as LLaVA learn mostly from natural photos, so they handle text inside images poorly. 2. **[METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/li-2025-metal-multi-agent-framework-chart/)** *(2025 · 15 citations)* The paper addresses chart-to-code generation: given an image of a reference chart, a model must write plotting code (e.g., Python) whose rendered output reproduces the chart's type, layout, colors and text. 3. **[MENTOR: Efficient Autoregressive Image Generation with Balanced Multimodal Control](https://md.research.elamur.ai/free/en/papers/zhao-2026-mentor-efficient-autoregressive-image-generation/)** *(2026)* MENTOR targets controllable image generation from combined inputs, such as a reference image plus a text prompt, under tight compute budgets. 4. **[Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images](https://md.research.elamur.ai/free/en/papers/zhou-2026-unveiling-inherent-visual-grounding-multimodal/)** *(2026)* The paper addresses visual text grounding for text-rich images such as infographics, charts and forms. The goal is to localize the possibly scattered image regions that support the answer to a document question. Existing MLLM approaches either match embeddings, which works poorly when only the question is given, or… ## All works 11 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. **[Recent advances in convolutional neural networks ↗](https://doi.org/10.1016/j.patcog.2017.10.013) Pattern Recognition · no summary yet**Jiuxiang Gu et al.*2015 · 6,527 citations* 2. **[Scene Graph Generation With External Knowledge and Image Reconstruction ↗](https://doi.org/10.1109/cvpr.2019.00207) 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**Jiuxiang Gu et al.*2019 · 318 citations* 3. **[Towards Language-Free Training for Text-to-Image Generation ↗](https://doi.org/10.1109/cvpr52688.2022.01738) 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**Yufan Zhou et al.*2022 · 216 citations* 4. **[Unpaired Image Captioning via Scene Graph Alignments ↗](https://doi.org/10.1109/iccv.2019.01042) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Jiuxiang Gu et al.*2019 · 200 citations* 5. **[Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models ↗](https://aclanthology.org/2021.naacl-main.71/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Mengnan Du et al.*2021 · 120 citations* 6. [**LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding arXiv:2306.17107**Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, et al.*2023 · 98 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-llavar-enhanced-visual-instruction-tuning/) 7. **[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* 8. **[Personalization of Large Language Models: A Survey ↗](https://arxiv.org/abs/2411.00027) arXiv (Cornell University) · no summary yet**Zhehao Zhang et al.*2024 · 61 citations* 9. **[METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/li-2025-metal-multi-agent-framework-chart/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.*2025 · 15 citations* 10. **[MENTOR: Efficient Autoregressive Image Generation with Balanced Multimodal Control](https://md.research.elamur.ai/free/en/papers/zhao-2026-mentor-efficient-autoregressive-image-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haozhe Zhao, Zefan Cai, Shuzheng Si, et al.*2026* 11. **[Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images](https://md.research.elamur.ai/free/en/papers/zhou-2026-unveiling-inherent-visual-grounding-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shijie Zhou, Jihyung Kil, Ming Li, et al.*2026* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Ruiyi Zhang](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/) ×2 - [Bingxuan Li](https://md.research.elamur.ai/free/en/authors/bingxuan-li/) - [Changyou Chen](https://md.research.elamur.ai/free/en/authors/changyou-chen/) - [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/) - [Haozhe Zhao](https://md.research.elamur.ai/free/en/authors/haozhe-zhao/) - [Jihyung Kil](https://md.research.elamur.ai/free/en/authors/jihyung-kil/) - [Junjie Hu](https://md.research.elamur.ai/free/en/authors/junjie-hu/) - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) - [Liang Chen](https://md.research.elamur.ai/free/en/authors/liang-chen/) - [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/) - [Minjia Zhang](https://md.research.elamur.ai/free/en/authors/minjia-zhang/) - [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) ## 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 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/) - IEEE/CVF International Conference on Computer Vision (ICCV) - Pattern Recognition - Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ## Cited by Papers of our library cite their works 292 times (of the 149,439 papers whose bibliographies we read); [69 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/cited-by/). Updated 2 November 2026