🧑‍🔬 Li Ni

🏛️ Affiliations

🎓Anhui UniversityHefei · China2026 · 5 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions (2026 · 1 citation)
   LoRA, the standard parameter-efficient method for fine-tuning LLMs, builds each weight update as a product of two low-rank matrices.
2. GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation (2026)
   LLM-based recommenders have trouble combining a language model's textual knowledge with collaborative signals from user–item interactions, which are naturally graph-shaped.
3. TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models (2026)
   Mixture-of-Experts variants of LoRA (MoELoRA) split adaptation across several low-rank experts, but each expert works in isolation.

🤝 Co-authors here

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

• Lin Mu ×3
• Peiquan Jin ×3
• Yiwen Zhang ×3
• Lei Sang ×2
• Zhize Wu ×2

Venues

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

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026

Updated 1 November 2026

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