--- title: "Yihong Huang — author profile and papers — Elamur Research" description: "Yihong Huang, East China Normal University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yihong-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yihong-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yihong Huang # Yihong Huang Yihong Huang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Hongbo Zhao](https://md.research.elamur.ai/free/en/authors/hongbo-zhao/), [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/), [Xianming Hu](https://md.research.elamur.ai/free/en/authors/xianming-hu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139729288) · [**h-index 0**](https://openalex.org/authors/A5139729288) · [3 works](https://openalex.org/works?filter=author.id:A5139729288) · [0 citations](https://openalex.org/works?filter=author.id:A5139729288&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yihong-huang/#papers) · [⭐ Paper Stars ranking: #14059](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14059) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yihong+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yihong+Huang) · [dblp](https://dblp.org/search?q=Yihong+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Yihong+Huang) ## Affiliations [🎓**East China Normal University** Shanghai · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yihong-huang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Adaptive Zooming via Relevance-Informed Positional Resource Allocation for Training-free LLM Context Extension](https://md.research.elamur.ai/free/en/papers/zhao-2026-adaptive-zooming-relevance-informed-positional/)** *(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](https://md.research.elamur.ai/free/en/papers/xiong-2026-g-lora-global-local-decoupled/)** *(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. - [Hongbo Zhao](https://md.research.elamur.ai/free/en/authors/hongbo-zhao/) ×2 - [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) ×2 - [Xianming Hu](https://md.research.elamur.ai/free/en/authors/xianming-hu/) ×2 - [Jiahao Xiong](https://md.research.elamur.ai/free/en/authors/jiahao-xiong/) - [Nuoyi Chen](https://md.research.elamur.ai/free/en/authors/nuoyi-chen/) - [Ping Li](https://md.research.elamur.ai/free/en/authors/ping-li/) - [Yihe Liu](https://md.research.elamur.ai/free/en/authors/yihe-liu/) ## 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](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026