---
title: "Luozhijie Jin · Fudan University — author profile and papers"
description: "Luozhijie Jin, Fudan University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/luozhijie-jin/"
---
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# Luozhijie Jin

Luozhijie Jin 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/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/); often with [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/), [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/), [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139792978) · [**h-index 0**](https://openalex.org/authors/A5139792978) · [3 works](https://openalex.org/works?filter=author.id:A5139792978) · [0 citations](https://openalex.org/works?filter=author.id:A5139792978&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/luozhijie-jin/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/luozhijie-jin/cited-by/) · [⭐ Paper Stars ranking: #10724](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10724)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Shanghai Innovation Institute** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-innovation-institute/)

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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 3 Research subjects and languages the work is about.[Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) · [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/luozhijie-jin/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs](https://md.research.elamur.ai/free/en/papers/gong-2026-xy-tokenizer-mitigating-semantic-acoustic/)** *(2026 · 4 citations)* Speech LLMs need discrete tokens that carry both linguistic content and acoustic detail. At low bitrates, codecs typically trade one for the other. This paper introduces XY-Tokenizer, a codec of roughly 1 kbps designed to reduce that tension.
2. **[Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-efficient-kl-divergence-estimation-truncated/)** *(2026)* RL fine-tuning of LLMs (e.g., GRPO) usually includes a KL penalty that keeps the policy close to a reference model.

## Co-authors here

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

- [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×2
- [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/)
- [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/)
- [Qinyuan Cheng](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/)
- [Shimin Li](https://md.research.elamur.ai/free/en/authors/shimin-li/)
- [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/)
- [Yuan Li](https://md.research.elamur.ai/free/en/authors/yuan-li/)
- [Zhangyue Yin](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/)
- [Zhaoye Fei](https://md.research.elamur.ai/free/en/authors/zhaoye-fei/)

## 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)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/luozhijie-jin/cited-by/).

Updated 1 November 2026
