---
title: "Yichen Wang · Beihang University — author profile and papers"
description: "Yichen Wang, Beihang University: 3 papers on Elamur Research (2024–2026), h-index 12 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yichen-wang/"
---
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# Yichen Wang

Yichen Wang 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Akihiro Tamura](https://md.research.elamur.ai/free/en/authors/akihiro-tamura/), [Chao Shen](https://md.research.elamur.ai/free/en/authors/chao-shen/), [Chengzhengxu Li](https://md.research.elamur.ai/free/en/authors/chengzhengxu-li/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5100373182) · [ORCID](https://orcid.org/0000-0001-6531-3938) · [**h-index 12**](https://openalex.org/authors/A5100373182) · [87 works](https://openalex.org/works?filter=author.id:A5100373182) · [631 citations](https://openalex.org/works?filter=author.id:A5100373182&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yichen-wang/#papers) · [🔗 Cited 82 times in our library](https://md.research.elamur.ai/free/en/authors/yichen-wang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8233](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8233)

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

## Affiliations

[🎓**Beihang University** Beijing · China 2015–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2016–2019 · 5 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2023–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Australian National University** Canberra · Australia 2021–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Shanghai Maritime University** Shanghai · China 2025 · 3 papers](https://ror.org/04z7qrj66) · [🎓**China Agricultural University** Beijing · China 2022–2024 · 3 papers](https://ror.org/04v3ywz14) · [🎓**Johns Hopkins University** Baltimore · United States 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of Washington** Seattle · United States 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2020–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 31 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 7 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-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/yichen-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yichen-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yichen-wang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Jailbreak Large Vision-Language Models Through Multi-Modal Linkage](https://md.research.elamur.ai/free/en/papers/wang-2025-jailbreak-large-vision-language-models/)** *(2025 · 20 citations)* This ACL 2025 paper studies why structure-based jailbreaks of large vision-language models (VLMs) succeed on open models such as LLaVA or MiniGPT-4 but largely fail on frontier systems like GPT-4o.
2. **[Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/)** *(2024 · 16 citations)* The paper tackles detection of machine-generated text (MGT) and addresses three weaknesses of DetectGPT. Its random perturbations can inject noise. It reduces perturbation to a single probability-difference score. Its threshold-based logit regression generalizes poorly and fails on single or small-batch inputs. The…
3. **[Interpretable ICD Code Classification with Faithful Sentence Extraction](https://md.research.elamur.ai/free/en/papers/wang-2026-interpretable-icd-code-classification-faithful/)** *(2026)* Transformer models such as PLM-CA lead automatic ICD coding of discharge summaries, but their attention weights are not reliable explanations.

## 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. **[Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems ↗](https://arxiv.org/abs/1904.04381) arXiv:1904.04381 · no summary yet**Jiaxuan You et al.*2019 · 127 citations*
2. **[SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation ↗](https://aclanthology.org/2024.naacl-long.226/) 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**Abe Hou et al.*2024 · 77 citations*
3. **[Jailbreak Large Vision-Language Models Through Multi-Modal Linkage](https://md.research.elamur.ai/free/en/papers/wang-2025-jailbreak-large-vision-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wang, Xiaofei Zhou, Yichen Wang, et al.*2025 · 20 citations*
4. **[Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.*2024 · 16 citations*
5. **[Improving Pacing in Long-Form Story Planning ↗](https://aclanthology.org/2023.findings-emnlp.723/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Yichen Wang et al.*2023 · 12 citations*
6. **[Interpretable ICD Code Classification with Faithful Sentence Extraction](https://md.research.elamur.ai/free/en/papers/wang-2026-interpretable-icd-code-classification-faithful/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Yichen Wang, Lian Hong, Masato Mizogaki, et al.*2026*

## Co-authors here

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

- [Akihiro Tamura](https://md.research.elamur.ai/free/en/authors/akihiro-tamura/)
- [Chao Shen](https://md.research.elamur.ai/free/en/authors/chao-shen/)
- [Chengzhengxu Li](https://md.research.elamur.ai/free/en/authors/chengzhengxu-li/)
- [Geyuan Zhang](https://md.research.elamur.ai/free/en/authors/geyuan-zhang/)
- [Tianxing He](https://md.research.elamur.ai/free/en/authors/tianxing-he/)
- [Xiaofei Zhou](https://md.research.elamur.ai/free/en/authors/xiaofei-zhou/)
- [Xiaoming Liu](https://md.research.elamur.ai/free/en/authors/xiaoming-liu/)
- [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/)
- [Zhaohan Zhang](https://md.research.elamur.ai/free/en/authors/zhaohan-zhang/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/): [BioNLP 2026](https://md.research.elamur.ai/free/en/venues/bionlp/2026/)
- Findings of the Association for Computational Linguistics: EMNLP 2023
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 82 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yichen-wang/cited-by/).

Updated 1 November 2026
