---
title: "Xuekai Zhu — author profile and papers — Elamur Research"
description: "Xuekai Zhu, Shanghai Jiao Tong University: 3 papers on Elamur Research (2025), h-index 13 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/xuekai-zhu/"
---
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# Xuekai Zhu

Xuekai Zhu has 3 papers in our library, in 2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ermo Hua](https://md.research.elamur.ai/free/en/authors/ermo-hua/), [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/), [Shang Qu](https://md.research.elamur.ai/free/en/authors/shang-qu/).

3 papers in our library · 2025

[OpenAlex](https://openalex.org/A5055365449) · [ORCID](https://orcid.org/0000-0002-4297-8854) · [Wikidata](https://www.wikidata.org/wiki/Q99615349) · [**h-index 13**](https://openalex.org/authors/A5055365449) · [50 works](https://openalex.org/works?filter=author.id:A5055365449) · [1,255 citations](https://openalex.org/works?filter=author.id:A5055365449&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xuekai-zhu/#papers) · [🔗 Cited 229 times in our library](https://md.research.elamur.ai/free/en/authors/xuekai-zhu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6422](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6422)

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

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 2023–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏢**China State Shipbuilding** Beijing · China 2026 · 2 papers*current*](https://ror.org/04rveb346) · [🎓**ShanghaiTech University** Shanghai · China 2017–2022 · 13 papers](https://md.research.elamur.ai/free/en/universities/shanghaitech-university/) · [🎓**Tsinghua University** Beijing · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏥**University Medical Center Freiburg** Freiburg im Breisgau · Germany 2014–2016 · 3 papers](https://ror.org/03vzbgh69) · [🎓**University of Freiburg** Freiburg im Breisgau · Germany 2014–2016 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-freiburg/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2010–2013 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Microbiology** Beijing · China 2010–2013 · 3 papers](https://ror.org/047yhep71) · [🎓**Zhejiang Sci-Tech University** Hangzhou · China 2023–2024 · 2 papers](https://ror.org/03893we55) · [🔬**Deutsches Konsortium für Translationale Krebsforschung** Heidelberg · Germany 2015–2016 · 2 papers](https://ror.org/02pqn3g31)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/xuekai-zhu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TTRL: Test-Time Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zuo-2025-ttrl-test-time-reinforcement-learning/)** *(2025 · 76 citations)* Reinforcement learning is now a main way to strengthen reasoning in large language models, but it usually needs labeled answers.
2. **[MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding](https://md.research.elamur.ai/free/en/papers/zuo-2025-medxpertqa-benchmarking-expert-level-medical/)** *(2025 · 65 citations)* Popular medical QA benchmarks such as MedQA and MMLU (Medical) no longer challenge frontier models. o1-preview reportedly reaches 96% on MedQA-USMLE. Multimodal sets like VQA-Rad or PMC-VQA mostly contain simple caption-derived questions without clinical context. MedXpertQA addresses both gaps. This multiple-choice…
3. **[Reasoning with Exploration: An Entropy Perspective](https://md.research.elamur.ai/free/en/papers/cheng-2025-reasoning-exploration-entropy-perspective/)** *(2025 · 63 citations)* RL training of LLMs with verifiable rewards tends to over-exploit. Models settle into narrow strategies, and reasoning gains level off. The authors ask whether token-level entropy, a classic exploration signal in RL, can identify exploratory reasoning. They analyse Qwen2.5-Base-7B on math problems and find that…

## All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Noninvasive positron emission tomography and fluorescence imaging of CD133 + tumor stem cells ↗](https://doi.org/10.1073/pnas.1314189111) Proceedings of the National Academy of Sciences · no summary yet**Simone Gaedicke et al.*2014 · 98 citations*
2. **[TTRL: Test-Time Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zuo-2025-ttrl-test-time-reinforcement-learning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxin Zuo, Kaiyan Zhang, Li Sheng, et al.*2025 · 76 citations*
3. [**MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding arXiv:2501.18362**Yuxin Zuo, Shang Qu, Yifei Li, et al.*2025 · 65 citations*](https://md.research.elamur.ai/free/en/papers/zuo-2025-medxpertqa-benchmarking-expert-level-medical/)
4. [**Reasoning with Exploration: An Entropy Perspective arXiv:2506.14758**Daixuan Cheng, Shaohan Huang, Xuekai Zhu, et al.*2025 · 63 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2025-reasoning-exploration-entropy-perspective/)
5. **[PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning ↗](https://aclanthology.org/2024.naacl-long.142/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Xuekai Zhu et al.*2024 · 35 citations*
6. **[StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing ↗](https://aclanthology.org/2023.acl-long.827/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xuekai Zhu et al.*2023 · 13 citations*

## Co-authors here

12 of 19 co-authors with a page, the most papers together first.

- [Ermo Hua](https://md.research.elamur.ai/free/en/authors/ermo-hua/) ×2
- [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/) ×2
- [Shang Qu](https://md.research.elamur.ai/free/en/authors/shang-qu/) ×2
- [Yuxin Zuo](https://md.research.elamur.ai/free/en/authors/yuxin-zuo/) ×2
- [Biqing Qi](https://md.research.elamur.ai/free/en/authors/biqing-qi/)
- [Bo Dai](https://md.research.elamur.ai/free/en/authors/bo-dai/)
- [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/)
- [Daixuan Cheng](https://md.research.elamur.ai/free/en/authors/daixuan-cheng/)
- [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/)
- [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/)
- [Haozhan Li](https://md.research.elamur.ai/free/en/authors/haozhan-li/)
- [Li Sheng](https://md.research.elamur.ai/free/en/authors/li-sheng/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Proceedings of the National Academy of Sciences

## Cited by

Papers of our library cite their works 229 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuekai-zhu/cited-by/).

Updated 2 November 2026
