🧑‍🔬 Yihe Liu

🏛️ Affiliations

🎓Shandong UniversityJinan · China2021–2026 · 7 paperscurrent🎓East China Normal UniversityShanghai · China2026 · 1 papercurrent🎓Xi'an University of Science and TechnologyXi'an · China2026 · 1 papercurrent🎓Neijiang Normal UniversityNeijiang · China2005–2022 · 35 papers🎓Wuhan UniversityWuhan · China2012–2016 · 11 papers🎓Shaanxi University of Science and TechnologyXi'an · China2021–2022 · 4 papers🎓University of Science and Technology BeijingBeijing · China2021–2025 · 3 papers🏛️Chinese Academy of SciencesBeijing · China2021–2023 · 3 papers🎓Dalian University of TechnologyDalian · China2022–2023 · 3 papers🎓Hebei University of Science and TechnologyShijiazhuang · China2022–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. G-LoRA: Global-Local Decoupled Low-Rank Adaptation (2026)
   LoRA and adaptive variants such as AdaLoRA give a single rank to an entire weight update matrix ∆W. This ignores the fact that parameter importance varies inside one matrix. Sparse fine-tuning does capture that variation, but it needs a memory-heavy gradient warm-up. G-LoRA addresses the gap by splitting each update…
2. Localized Low-Rank Adaptation within Clustered Parameter Subspaces (2026)
   Most LoRA-style methods learn a single pair of low-rank factors for the whole weight update ∆W. The authors examined updates in LLaMA2-7B and Qwen2.5-1.5B, from both full fine-tuning and LoRA. After bi-clustering rows and columns, these updates often break into distinct blocks. That suggests one global factorization…

All works

3 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. M-SENA: An Integrated Platform for Multimodal Sentiment Analysis ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yetHuisheng Mao et al.2022 · 91 citations
2. G-LoRA: Global-Local Decoupled Low-Rank AdaptationFindings of the Association for Computational LinguisticsJiahao Xiong, Yihong Huang, Yihe Liu, et al.2026
3. Localized Low-Rank Adaptation within Clustered Parameter SubspacesAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Xiong, Yihe Liu, Xianming Hu, et al.2026

🤝 Co-authors here

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

• Hongbo Zhao ×2
• Jiahao Xiong ×2
• Kai Zhang ×2
• Xianming Hu ×2
• Jie Zhang
• Nuoyi Chen
• Yihong Huang

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

🔗 Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026

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