---
title: "Luo Ji — author profile and papers · Sentiment & emotion"
description: "Luo Ji, Geely: 2 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/luo-ji/"
---
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# Luo Ji

Luo Ji has 2 papers in our library, in 2023–2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/), [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/), [Jinze Bai](https://md.research.elamur.ai/free/en/authors/jinze-bai/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5072289903) · [ORCID](https://orcid.org/0000-0002-2484-5345) · [**h-index 1**](https://openalex.org/authors/A5072289903) · [9 works](https://openalex.org/works?filter=author.id:A5072289903) · [4 citations](https://openalex.org/works?filter=author.id:A5072289903&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/luo-ji/#papers) · [🔗 Cited 1,561 times in our library](https://md.research.elamur.ai/free/en/authors/luo-ji/cited-by/) · [⭐ Paper Stars ranking: #1857](https://md.research.elamur.ai/free/en/paper-stars/page/19/#star-1857)

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

## Affiliations

[🏢**Geely** Hangzhou · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/geely/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 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/) · [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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 1 Research subjects and languages the work is about.[Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/luo-ji/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/luo-ji/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Qwen Technical Report](https://md.research.elamur.ai/free/en/papers/bai-2023-qwen-technical-report/)** *(2023 · 1,669 citations)* The Qwen Technical Report presents Alibaba's first family of open large language models. It addresses a common complaint about LLMs: they are hard to reproduce, steer and access. The team pretrained base models, called QWEN, on up to 3 trillion tokens of mixed text and code. The data comes from web pages…
2. **[Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS](https://md.research.elamur.ai/free/en/papers/zhao-2026-self-emoq-plutchik-guided-value/)** *(2026)* Cascaded voice assistants often stream LLM output straight into TTS. Emotional speech synthesis needs its emotion label before the first audio chunk, but emotion recognition (ERC) only works once the full reply exists. Self-EmoQ fixes this ordering problem. It is a plug-and-play module, built on a pretrained LLM…

## Co-authors here

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

- [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/)
- [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/)
- [Jinze Bai](https://md.research.elamur.ai/free/en/authors/jinze-bai/)
- [Kai Dang](https://md.research.elamur.ai/free/en/authors/kai-dang/)
- [Shuai Bai](https://md.research.elamur.ai/free/en/authors/shuai-bai/)
- [Wenbin Ge](https://md.research.elamur.ai/free/en/authors/wenbin-ge/)
- [Yang Fan](https://md.research.elamur.ai/free/en/authors/yang-fan/)
- [Yu Han](https://md.research.elamur.ai/free/en/authors/yu-han/)
- [Yue Zhao](https://md.research.elamur.ai/free/en/authors/yue-zhao/)
- [Yunfei Chu](https://md.research.elamur.ai/free/en/authors/yunfei-chu/)
- [Zeyu Cui](https://md.research.elamur.ai/free/en/authors/zeyu-cui/)

## 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 1,561 times (of the 149,439 papers whose bibliographies we read); [371 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/luo-ji/cited-by/).

Updated 2 November 2026
