---
title: "Kaixuan Huang — author profile and papers — Elamur Research"
description: "Kaixuan Huang, Beijing Academy of Quantum Information Sciences: 3 papers on Elamur Research (2023–2024), h-index 17 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/kaixuan-huang/"
---
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# Kaixuan Huang

Kaixuan Huang has 3 papers in our library, in 2023–2024, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Xiangyu Qi](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/), [Boyi Wei](https://md.research.elamur.ai/free/en/authors/boyi-wei/), [Mengdi Wang](https://md.research.elamur.ai/free/en/authors/mengdi-wang/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5100608029) · [ORCID](https://orcid.org/0000-0001-8845-2770) · [**h-index 17**](https://openalex.org/authors/A5100608029) · [78 works](https://openalex.org/works?filter=author.id:A5100608029) · [1,174 citations](https://openalex.org/works?filter=author.id:A5100608029&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/#papers) · [🔗 Cited 264 times in our library](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4905](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-4905)

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

## Affiliations

[🔬**Beijing Academy of Quantum Information Sciences** Beijing · China 2023–2026 · 20 papersEmployment*current*](https://ror.org/04nqf9k60) · [🎓**Nankai University** Tianjin · China 2017–2023 · 15 papersEducation 2017–2022 · Doctor, The Key Laboratory of Weak Light Nonlinear Photonics, Ministry of Education, Teda Applied Physics Institute and School of Physics](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🎓**Princeton University** Princeton · United States 2022–2025 · 13 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**Sun Yat-sen University** Guangzhou · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Nanjing University of Information Science and Technology** Nanjing · China 2023–2024 · 4 papers](https://ror.org/02y0rxk19) · [🏛️**Chinese Academy of Sciences** Beijing · China 2020–2023 · 4 papersEducation 2020–2022 · Joint cultivation, Laboratory for Solid State Quantum Information and Quantum Computation Q03](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Physics** Beijing · China 2022–2023 · 4 papers](https://ror.org/05cvf7v30) · [🎓**Jinan University** Guangzhou · China 2022–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/jinan-university/) · [🎓**Zhejiang University** Hangzhou · China 2018–2020Education 2018–2020 · Joint cultivation, school of physics](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Xiangtan University** Xiangtan · China 2013–2017Education 2013–2017 · Bachelor of Science, school of physics and optoelectronices](https://ror.org/00xsfaz62)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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).[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/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](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.[Bias, fairness & safety · 3 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Visual Adversarial Examples Jailbreak Aligned Large Language Models](https://md.research.elamur.ai/free/en/papers/qi-2023-visual-adversarial-examples-jailbreak-aligned/)** *(2023 · 240 citations)* Adding image inputs to large language models creates new security risks. The authors argue that images are continuous and high-dimensional, which makes them much easier to manipulate adversarially than discrete text. Because these models can do so many things, a successful attack can do more than cause a…
2. **[SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal](https://md.research.elamur.ai/free/en/papers/xie-2024-sorry-bench-systematically-evaluating-large/)** *(2024 · 87 citations)* SORRY-Bench is a benchmark that measures how reliably aligned LLMs decline unsafe requests. The authors identify three weaknesses in earlier safety evaluations. Their category schemes are coarse and inconsistent, and they concentrate on a few topics such as fraud while barely testing others like self-harm. They…
3. **[Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications](https://md.research.elamur.ai/free/en/papers/wei-2024-assessing-brittleness-safety-alignment-pruning/)** *(2024 · 66 citations)* Aligned LLMs can be jailbroken or lose their safeguards even after harmless fine-tuning. The authors ask whether this fragility can be traced to specific parts of the weights. Using the Llama2-chat family, they attribute behaviour to individual neurons and to low-rank components of weight matrices. They use two…

## All works

5 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. **[Visual Adversarial Examples Jailbreak Aligned Large Language Models](https://md.research.elamur.ai/free/en/papers/qi-2023-visual-adversarial-examples-jailbreak-aligned/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, et al.*2023 · 240 citations*
2. **[CRISPR-GPT for Agentic Automation of Gene-editing Experiments ↗](https://arxiv.org/abs/2404.18021) arXiv:2404.18021 · no summary yet**Yuanhao Qu et al.*2024 · 163 citations*
3. [**SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal arXiv:2406.14598**Tinghao Xie, Xiangyu Qi, Yi Zeng, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-sorry-bench-systematically-evaluating-large/)
4. [**Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications arXiv:2402.05162**Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/wei-2024-assessing-brittleness-safety-alignment-pruning/)
5. **[AI Risk Management Should Incorporate Both Safety and Security ↗](https://arxiv.org/abs/2405.19524) arXiv (Cornell University) · no summary yet**Xiangyu Qi et al.*2024 · 3 citations*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Xiangyu Qi](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/) ×3
- [Boyi Wei](https://md.research.elamur.ai/free/en/authors/boyi-wei/) ×2
- [Mengdi Wang](https://md.research.elamur.ai/free/en/authors/mengdi-wang/) ×2
- [Peter Henderson](https://md.research.elamur.ai/free/en/authors/peter-henderson/) ×2
- [Prateek Mittal](https://md.research.elamur.ai/free/en/authors/prateek-mittal/) ×2
- [Tinghao Xie](https://md.research.elamur.ai/free/en/authors/tinghao-xie/) ×2
- [Yangsibo Huang](https://md.research.elamur.ai/free/en/authors/yangsibo-huang/) ×2
- [Ashwinee Panda](https://md.research.elamur.ai/free/en/authors/ashwinee-panda/)
- [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/)
- [Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/)
- [Luxi He](https://md.research.elamur.ai/free/en/authors/luxi-he/)
- [Mengzhou Xia](https://md.research.elamur.ai/free/en/authors/mengzhou-xia/)

## Venues

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

- [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2023](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2023/)

## Cited by

Papers of our library cite their works 264 times (of the 149,439 papers whose bibliographies we read); [74 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/cited-by/).

Updated 2 November 2026
