---
title: "Jun Liu · University of Leicester — author profile and papers"
description: "Jun Liu, University of Leicester: 7 papers on Elamur Research (2023–2026), h-index 57 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/jun-liu/"
---
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# Jun Liu

Jun Liu has 7 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Fangzhi Xu](https://md.research.elamur.ai/free/en/authors/fangzhi-xu/), [Da Pan](https://md.research.elamur.ai/free/en/authors/da-pan/), [Guosheng Dong](https://md.research.elamur.ai/free/en/authors/guosheng-dong/).

7 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5100361857) · [ORCID](https://orcid.org/0000-0002-4365-4165) · [Wikidata](https://www.wikidata.org/wiki/Q50087530) · [**h-index 57**](https://openalex.org/authors/A5100361857) · [431 works](https://openalex.org/works?filter=author.id:A5100361857) · [18,664 citations](https://openalex.org/works?filter=author.id:A5100361857&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/jun-liu/#papers) · [🔗 Cited 245 times in our library](https://md.research.elamur.ai/free/en/authors/jun-liu/cited-by/) · [15 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5339](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5339)

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

## Affiliations

[🎓**Lancaster University** Lancaster · United Kingdom 2024–2026 · 47 papersEmploymentEmployment · Professor*current*](https://md.research.elamur.ai/free/en/universities/lancaster-university/) · [🎓**University of Leicester** Leicester · United Kingdom 2026 · 1 paper*current*](https://ror.org/04h699437) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 2019–2025 · 114 papersEmployment](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🎓**Nanyang Technological University** Singapore · Singapore 1992–2021 · 31 papersEducation · PhD](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🏢**Tencent** Shenzhen · China 2022–2025 · 16 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2005–2025 · 14 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2018–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Northeastern University** Shenyang · China 2007–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Fudan University** Shanghai · China 2013–2024 · 8 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Zhejiang University** Hangzhou · China 2005–2023 · 7 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 101 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/)

🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jun-liu/year/2026/) · [**2025** 5 papers](https://md.research.elamur.ai/free/en/authors/jun-liu/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jun-liu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/)** *(2023 · 142 citations)* The paper asks whether current LLMs reason logically or mostly rely on surface patterns and memorized benchmark content.
2. **[Baichuan-Omni-1.5 Technical Report](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-omni-1-5/)** *(2025 · 28 citations)* Open-source multimodal LLMs mostly pair vision with text. Voice support usually relies on separate ASR and TTS modules, which add latency. End-to-end omni models such as VITA-1.5 and Mini-Omni2 often lose quality when modalities compete, especially on text-only tasks. Baichuan-Omni-1.5 is a single 7B-scale model that…
3. **[PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-physreason-comprehensive-benchmark-physics-based/)** *(2025 · 25 citations)* Existing physics benchmarks for large language models (e.g., ScienceQA, SciBench, GPQA) mostly use short solutions of about 3–4 formulas and score only the final answer.
4. **[Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-audio-unified-framework/)** *(2025 · 16 citations)* Cascaded voice assistants chain ASR, an LLM and TTS. This adds latency, compounds errors and discards paralinguistic cues. End-to-end alternatives such as Moshi and GLM-4-Voice tend to lose reasoning ability once speech is added. Baichuan-Audio is a 7B end-to-end audio LLM for real-time bilingual (Chinese/English)…
5. **[Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2025-interactive-evolution-neural-symbolic-self/)** *(2025 · 15 citations)* Large language models increasingly solve tasks by writing symbolic intermediate forms, such as programs, logic forms, or web actions, which an external environment then executes.
6. **[MUR: Momentum Uncertainty guided Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/yan-2026-mur-momentum-uncertainty-guided-reasoning/)** *(2026 · 8 citations)* Test-time scaling (TTS) makes LLMs reason better but tends to cause overthinking: extra compute goes to every reasoning step, including trivial ones.
7. **[Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2025-genius-generalizable-purely-unsupervised-self/)** *(2025 · 8 citations)* Genius tackles the problem of improving LLM reasoning after pre-training without any external supervision.

## All works

22 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. **[NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis ↗](https://doi.org/10.1109/cvpr.2016.115) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Amir Shahroudy et al.*2016 · 3,166 citations*
2. **[Global Context-Aware Attention LSTM Networks for 3D Action Recognition ↗](https://doi.org/10.1109/cvpr.2017.391) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jun Liu et al.*2017 · 685 citations*
3. **[VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild ↗](https://doi.org/10.1109/cvpr.2019.00335) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yihang Lou et al.*2019 · 328 citations*
4. **[Deep Level Sets for Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2017.65) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ping Hu et al.*2017 · 207 citations*
5. **[A convex formulation for learning shared structures from multiple tasks ↗](https://doi.org/10.1145/1553374.1553392) International Conference on Machine Learning · no summary yet**Jianhui Chen et al.*2009 · 197 citations*
6. **[DiffPose: Toward More Reliable 3D Pose Estimation ↗](https://doi.org/10.1109/cvpr52729.2023.01253) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jia Lin Gong et al.*2023 · 188 citations*
7. **[IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID ↗](https://doi.org/10.1109/iccv48922.2021.01165) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yongxing Dai et al.*2021 · 151 citations*
8. **[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Fangzhi Xu, Qika Lin, Jiawei Han, et al.*2023 · 142 citations*
9. **[Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning ↗](https://doi.org/10.1109/iccv48922.2021.01317) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Siyuan Yang et al.*2021 · 116 citations*
10. **[Not All Pixels Are Matched ↗](https://doi.org/10.1145/3503161.3547970) ACM International Conference on Multimedia (ACM MM) · no summary yet**Hanzhe Sun et al.*2022 · 90 citations*
11. **[En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning ↗](https://doi.org/10.1109/cvpr52688.2022.00909) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xia Kong et al.*2022 · 81 citations*
12. **[Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models ↗](https://aclanthology.org/2021.eacl-main.95/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Tianxing He et al.*2021 · 69 citations*
13. **[Meta Agent Teaming Active Learning for Pose Estimation ↗](https://doi.org/10.1109/cvpr52688.2022.01080) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jia Gong et al.*2022 · 58 citations*
14. **[Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data ↗](https://doi.org/10.1109/iccv48922.2021.01318) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Tianjiao Li et al.*2021 · 50 citations*
15. [**Baichuan-Omni-1.5 Technical Report arXiv:2501.15368**Yadong Li, Jun Liu, Tao Zhang, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-omni-1-5/)
16. **[PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-physreason-comprehensive-benchmark-physics-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Zhang, Yuxuan Dong, Yanrui Wu, et al.*2025 · 25 citations*
17. **[Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models ↗](https://arxiv.org/abs/1910.07117) arXiv (Cornell University) · no summary yet**Tianxing He et al.*2019 · 19 citations*
18. [**Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction arXiv:2502.17239**Tianpeng Li, Jun Liu, Tao Zhang, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-audio-unified-framework/)
19. **[Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2025-interactive-evolution-neural-symbolic-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, et al.*2025 · 15 citations*
20. **[MUR: Momentum Uncertainty guided Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/yan-2026-mur-momentum-uncertainty-guided-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Yan, Fangzhi Xu, Rongman Xu, et al.*2026 · 8 citations*
21. **[Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2025-genius-generalizable-purely-unsupervised-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangzhi Xu, Hang Yan, Chang Ma, et al.*2025 · 8 citations*
22. **[Training ASR Models By Generation of Contextual Information ↗](https://doi.org/10.1109/icassp40776.2020.9053527) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Kritika Singh et al.*2020 · 8 citations*

## Co-authors here

12 of 33 co-authors with a page, the most papers together first.

- [Fangzhi Xu](https://md.research.elamur.ai/free/en/authors/fangzhi-xu/) ×4
- [Da Pan](https://md.research.elamur.ai/free/en/authors/da-pan/) ×2
- [Guosheng Dong](https://md.research.elamur.ai/free/en/authors/guosheng-dong/) ×2
- [Haiteng Zhao](https://md.research.elamur.ai/free/en/authors/haiteng-zhao/) ×2
- [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/) ×2
- [Kanzhi Cheng](https://md.research.elamur.ai/free/en/authors/kanzhi-cheng/) ×2
- [Qika Lin](https://md.research.elamur.ai/free/en/authors/qika-lin/) ×2
- [Qiushi Sun](https://md.research.elamur.ai/free/en/authors/qiushi-sun/) ×2
- [Tao Zhang](https://md.research.elamur.ai/free/en/authors/tao-zhang/) ×2
- [Tianpeng Li](https://md.research.elamur.ai/free/en/authors/tianpeng-li/) ×2
- [Zehuan Li](https://md.research.elamur.ai/free/en/authors/zehuan-li/) ×2
- [Zhiyong Wu](https://md.research.elamur.ai/free/en/authors/zhiyong-wu/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×7
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3
- IEEE/CVF International Conference on Computer Vision (ICCV) ×3
- [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/): [IEEE Transactions on Knowledge and Data Engineering 2023](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/)
- ACM International Conference on Multimedia (ACM MM)
- IEEE International Conference on Acoustics Speech and Signal Processing
- International Conference on Machine Learning
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

## Cited by

Papers of our library cite their works 245 times (of the 149,439 papers whose bibliographies we read); [48 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-liu/cited-by/).

Updated 1 November 2026