---
title: "Huan Li — author profile and papers — Elamur Research"
description: "Huan Li, Jilin University: 3 papers on Elamur Research (2024–2026), h-index 23 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/huan-li/"
---
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# Huan Li

Huan Li has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/), [Lidan Shou](https://md.research.elamur.ai/free/en/authors/lidan-shou/), [Gang Chen](https://md.research.elamur.ai/free/en/authors/gang-chen/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5100319225) · [ORCID](https://orcid.org/0000-0002-1286-6552) · [**h-index 23**](https://openalex.org/authors/A5100319225) · [96 works](https://openalex.org/works?filter=author.id:A5100319225) · [2,112 citations](https://openalex.org/works?filter=author.id:A5100319225&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huan-li/#papers) · [🔗 Cited 118 times in our library](https://md.research.elamur.ai/free/en/authors/huan-li/cited-by/) · [⭐ Paper Stars ranking: #6051](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6051)

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

## Affiliations

[🎓**Jilin University** Changchun · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**Nankai University** Tianjin · China 1998–2025 · 31 papers](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🎓**Nanjing University of Aeronautics and Astronautics** Nanjing · China 2018–2020 · 14 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-aeronautics-and-astronautics/) · [🎓**Peking University** Beijing · China 2010–2020 · 10 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Fudan University** Shanghai · China 2020–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🔬**Beijing National Laboratory for Molecular Sciences** Beijing · China 2010–2014 · 4 papers](https://ror.org/02601yx74) · [🎓**Zhejiang University** Hangzhou · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Northeastern University** Shenyang · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🔬**State Key Laboratory of Synthetical Automation for Process Industries** Shenyang 2023–2024 · 2 papers](https://ror.org/0380ng272) · [🎓**University of Pennsylvania** Philadelphia · United States 2018–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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 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/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 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 · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/huan-li/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/huan-li/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/huan-li/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2024-draft-verify-lossless-large-language/)** *(2024 · 148 citations)* Autoregressive generation in large language models is slow. Each new token needs a full, memory-bandwidth-bound pass through the network. Speculative decoding can help, but it usually depends on a separate draft model, which costs extra GPU memory and is hard to obtain for fine-tuned models such as LLaMA-2-Chat or…
2. **[SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning](https://md.research.elamur.ai/free/en/papers/ji-2025-specvlm-enhancing-speculative-decoding-video/)** *(2025 · 10 citations)* Video LLMs turn sampled frames into very long sequences of visual tokens. This makes decoding slow and memory-bound. Pruning tokens at prefill saves compute but discards visual detail, which can lower answer quality. SpecVLM keeps output lossless by applying speculative decoding instead. A small Vid-LLM drafts…
3. **[HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference](https://md.research.elamur.ai/free/en/papers/zeng-2026-hybridkv-hybrid-kv-cache-compression/)** *(2026 · 4 citations)* Multimodal LLMs turn every image or video frame into hundreds or thousands of tokens. As a result, the key–value (KV) cache held in GPU memory during decoding grows quickly and slows inference. Earlier compression methods only decide how much cache each token, layer or head keeps, and they apply a single strategy…

## Co-authors here

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

- [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/) ×3
- [Lidan Shou](https://md.research.elamur.ai/free/en/authors/lidan-shou/) ×3
- [Gang Chen](https://md.research.elamur.ai/free/en/authors/gang-chen/) ×2
- [Ke Chen](https://md.research.elamur.ai/free/en/authors/ke-chen/) ×2
- [Heming Xia](https://md.research.elamur.ai/free/en/authors/heming-xia/)
- [Jue Wang](https://md.research.elamur.ai/free/en/authors/jue-wang/)

## 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/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 118 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huan-li/cited-by/).

Updated 1 November 2026
