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Jianjun Li

Jianjun Li has 2 papers in our library, in 2026, most of them on Reasoning, Language models & pretraining, Efficient models & compression; often with Bowen Zhou, Chenyu Zhu, Jia Li.

2 papers in our library · 2026

OpenAlex · h-index 1 · 4 works · 1 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13646

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 · 3 paperscurrent

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksEfficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing (2026)
    Most text-guided image editors repaint pixels end to end. This works for simple requests but fails on compositional instructions that need precise local control and reasoning about several objects. The authors trace the failures to three causes: planning and execution happen in one generation pass, there is no…
  2. MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive Supervision (2026)
    Compact language models struggle with multi-step reasoning. Existing reasoning distillation methods supervise every Transformer component equally, although components contribute unevenly. The authors first compare base Qwen models with their DeepSeek-R1-distilled versions (1.5B, 7B, 14B, 32B), measuring layer-wise…

 Co-authors here

6 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.

Updated

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