---
title: "Jiachen Liu · University of Michigan — author profile and papers"
description: "Jiachen Liu, University of Michigan: 2 papers on Elamur Research (2021–2023), h-index 16 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/jiachen-liu/"
---
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# Jiachen Liu

Jiachen Liu has 2 papers in our library, in 2021–2023, 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/); often with [Can Gao](https://md.research.elamur.ai/free/en/authors/can-gao/), [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/), [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/).

2 papers in our library · 2021–2023

[OpenAlex](https://openalex.org/A5100737835) · [ORCID](https://orcid.org/0000-0003-2317-1956) · [**h-index 16**](https://openalex.org/authors/A5100737835) · [62 works](https://openalex.org/works?filter=author.id:A5100737835) · [1,506 citations](https://openalex.org/works?filter=author.id:A5100737835&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiachen-liu/#papers) · [🔗 Cited 231 times in our library](https://md.research.elamur.ai/free/en/authors/jiachen-liu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4726](https://md.research.elamur.ai/free/en/paper-stars/page/48/#star-4726)

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

## Affiliations

[🎓**Beihang University** Beijing · China 2018–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**University of Michigan** Ann Arbor · United States 2023–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🏢**Baidu** Beijing · China 2018–2023 · 16 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**Xidian University** Xi'an · China 2012–2016 · 12 papers](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🔬**Dana-Farber Cancer Institute** Boston · United States 2022–2025 · 2 papers](https://ror.org/02jzgtq86) · [🎓**Peking University** Beijing · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Wuhan University** Wuhan · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 · 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jiachen-liu/year/2023/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/jiachen-liu/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/)** *(2021 · 308 citations)* Existing pre-trained models usually serve only one side. Text-only and vision-only models such as BERT or ResNet cannot handle vision-language inputs. Multi-modal models such as ViLBERT and UNITER learn only from scarce image-text pairs and perform poorly when moved to pure language tasks. The authors (Baidu) propose…
2. **[Efficient Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/wan-2023-efficient-large-language-models-survey/)** *(2023 · 110 citations)* Training and running LLMs with billions of parameters is costly. Using LLaMA data, the authors show that training compute rises steeply with model size while inference throughput falls. This survey maps research on cutting these costs and limits itself to techniques for billion-scale models rather than smaller…

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Li, Can Gao, Guocheng Niu, et al.*2021 · 308 citations*
2. **[Leveraging Graph to Improve Abstractive Multi-Document Summarization ↗](https://aclanthology.org/2020.acl-main.555/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Wei Li et al.*2020 · 168 citations*
3. [**Efficient Large Language Models: A Survey arXiv:2312.03863**Zhongwei Wan, Xin Wang, Che Liu, et al.*2023 · 110 citations*](https://md.research.elamur.ai/free/en/papers/wan-2023-efficient-large-language-models-survey/)
4. **[Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer ↗](https://aclanthology.org/2020.acl-main.639/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Chulun Zhou et al.*2020 · 52 citations*

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Can Gao](https://md.research.elamur.ai/free/en/authors/can-gao/)
- [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/)
- [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/)
- [Hao Liu](https://md.research.elamur.ai/free/en/authors/hao-liu/)
- [Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/)
- [Mi Zhang](https://md.research.elamur.ai/free/en/authors/mi-zhang/)
- [Mosharaf Chowdhury](https://md.research.elamur.ai/free/en/authors/mosharaf-chowdhury/)
- [Shen Yan](https://md.research.elamur.ai/free/en/authors/shen-yan/)
- [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/)
- [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/)
- [Xinyan Xiao](https://md.research.elamur.ai/free/en/authors/xinyan-xiao/)
- [Yi Zhu](https://md.research.elamur.ai/free/en/authors/yi-zhu/)

## 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/) ×3: [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/)

## Cited by

Papers of our library cite their works 231 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiachen-liu/cited-by/).

Updated 2 November 2026
