---
title: "Hongbo Zhao — author profile and papers — Elamur Research"
description: "Hongbo Zhao, East China Normal University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/hongbo-zhao/"
---
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# Hongbo Zhao

Hongbo Zhao has 3 papers in our library, in 2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/), [Xianming Hu](https://md.research.elamur.ai/free/en/authors/xianming-hu/), [Jiahao Xiong](https://md.research.elamur.ai/free/en/authors/jiahao-xiong/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139816924) · [**h-index 0**](https://openalex.org/authors/A5139816924) · [3 works](https://openalex.org/works?filter=author.id:A5139816924) · [0 citations](https://openalex.org/works?filter=author.id:A5139816924&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/hongbo-zhao/#papers) · [⭐ Paper Stars ranking: #13318](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13318)

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=Hongbo+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hongbo+Zhao) · [dblp](https://dblp.org/search?q=Hongbo+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Hongbo+Zhao)

## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 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 · 2 works](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** 3 papers](https://md.research.elamur.ai/free/en/authors/hongbo-zhao/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…
3. **[Localized Low-Rank Adaptation within Clustered Parameter Subspaces](https://md.research.elamur.ai/free/en/papers/xiong-2026-localized-low-rank-adaptation-within/)** *(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…

## Co-authors here

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

- [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) ×3
- [Xianming Hu](https://md.research.elamur.ai/free/en/authors/xianming-hu/) ×3
- [Jiahao Xiong](https://md.research.elamur.ai/free/en/authors/jiahao-xiong/) ×2
- [Nuoyi Chen](https://md.research.elamur.ai/free/en/authors/nuoyi-chen/) ×2
- [Yihe Liu](https://md.research.elamur.ai/free/en/authors/yihe-liu/) ×2
- [Yihong Huang](https://md.research.elamur.ai/free/en/authors/yihong-huang/) ×2
- [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/)
- [Ping Li](https://md.research.elamur.ai/free/en/authors/ping-li/)

## 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
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

Updated 2 November 2026
