---
title: "Lingyuan Liu · Southeast University — author profile and papers"
description: "Lingyuan Liu, Southeast University: 3 papers on Elamur Research (2025–2026), h-index 2 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/lingyuan-liu/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lingyuan-liu/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lingyuan Liu

# Lingyuan Liu

Lingyuan Liu has 3 papers in our library, in 2025–2026, 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 [Mengxiang Zhang](https://md.research.elamur.ai/free/en/authors/mengxiang-zhang/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5009327148) · [ORCID](https://orcid.org/0009-0008-9777-4550) · [Wikidata](https://www.wikidata.org/wiki/Q130825855) · [**h-index 2**](https://openalex.org/authors/A5009327148) · [10 works](https://openalex.org/works?filter=author.id:A5009327148) · [13 citations](https://openalex.org/works?filter=author.id:A5009327148&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lingyuan-liu/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/lingyuan-liu/cited-by/) · [⭐ Paper Stars ranking: #11935](https://md.research.elamur.ai/free/en/paper-stars/page/120/#star-11935)

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

## Affiliations

[🎓**Southeast University** Nanjing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**City University of Hong Kong** Hong Kong · China 2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/)

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).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](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.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/lingyuan-liu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lingyuan-liu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-less-more-selective-reflection-compatible/)** *(2025 · 4 citations)* White-box knowledge distillation (KD) for LLMs has mostly been improved by designing new divergence losses or by mixing ground-truth and student-generated responses.
2. **[Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-calibrated-progressive-distillation-co-designing/)** *(2026)* The paper addresses white-box knowledge distillation (KD) of LLMs. In this setting, the teacher–student capacity gap causes mode averaging or collapse. Existing remedies are curriculum learning and blending teacher and student distributions into the target, but they are typically tuned separately. The authors argue…
3. **[Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-learning-evolving-training-dynamics-entropy/)** *(2026)* Curriculum learning for supervised post-training of LLMs usually ranks examples once, using a single static difficulty score such as Perplexity.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Mengxiang Zhang](https://md.research.elamur.ai/free/en/authors/mengxiang-zhang/) ×3

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/lingyuan-liu/cited-by/).

Updated 2 November 2026
