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Yihong Huang

Yihong Huang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Efficient models & compression; often with Hongbo Zhao, Kai Zhang, Xianming Hu.

2 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #14059

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

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. Adaptive Zooming via Relevance-Informed Positional Resource Allocation for Training-free LLM Context Extension (2026)
    LLMs that use RoPE lose quality when inputs run past their pre-training context length. Existing training-free fixes, such as position reuse (Self-Extend, ChunkLlama, AdaGroPE) or frequency interpolation (NTK, YaRN, GALI), remap positions using distance alone and ignore content. As a result, important and unimportant…
  2. 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…

 Co-authors here

7 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

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yihong-huang/