🧑‍🔬 Jiuxiang Gu

🏛️ Affiliations

🏢Adobe SystemsSan Jose · United States2020–2026 · 69 paperscurrent🎓University of California, Los AngelesLos Angeles · United States2025–2026 · 2 paperscurrent🎓Nanyang Technological UniversitySingapore · Singapore2017–2020 · 10 papers🎓Texas A&M UniversityCollege Station · United States2021 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding (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 (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 (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 (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 ↗Pattern Recognition · no summary yetJiuxiang Gu et al.2015 · 6,527 citations
2. Scene Graph Generation With External Knowledge and Image Reconstruction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiuxiang Gu et al.2019 · 318 citations
3. Towards Language-Free Training for Text-to-Image Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYufan Zhou et al.2022 · 216 citations
4. Unpaired Image Captioning via Scene Graph Alignments ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJiuxiang Gu et al.2019 · 200 citations
5. Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetMengnan Du et al.2021 · 120 citations
6. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image UnderstandingarXiv:2306.17107Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, et al.2023 · 98 citations
7. EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHaoyu Ma et al.2022 · 63 citations
8. Personalization of Large Language Models: A Survey ↗arXiv (Cornell University) · no summary yetZhehao Zhang et al.2024 · 61 citations
9. METAL: A Multi-Agent Framework for Chart Generation with Test-Time ScalingAnnual Meeting of the Association for Computational Linguistics (ACL)Bingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.2025 · 15 citations
10. MENTOR: Efficient Autoregressive Image Generation with Balanced Multimodal ControlFindings of the Association for Computational LinguisticsHaozhe Zhao, Zefan Cai, Shuzheng Si, et al.2026
11. Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich ImagesFindings of the Association for Computational LinguisticsShijie 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 ×2
• Bingxuan Li
• Changyou Chen
• Diyi Yang
• Haozhe Zhao
• Jihyung Kil
• Junjie Hu
• Kai-Wei Chang
• Liang Chen
• Ming Li
• Minjia Zhang
• 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) ×2: ACL 2025
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Conference of the European Chapter of the Association for Computational Linguistics (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 →.

Updated 2 November 2026

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