--- title: "Yisen Wang — author profile and papers — Elamur Research" description: "Yisen Wang, Amazon: 2 papers on Elamur Research (2023–2025), h-index 27 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yisen-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yisen-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yisen Wang # Yisen Wang Yisen Wang has 2 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Yifei Wang](https://md.research.elamur.ai/free/en/authors/yifei-wang/), [Ang Li](https://md.research.elamur.ai/free/en/authors/ang-li/), [Stefanie Jegelka](https://md.research.elamur.ai/free/en/authors/stefanie-jegelka/). 2 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5101431030) · [ORCID](https://orcid.org/0000-0002-0181-2137) · [Wikidata](https://www.wikidata.org/wiki/Q130847182) · [**h-index 27**](https://openalex.org/authors/A5101431030) · [141 works](https://openalex.org/works?filter=author.id:A5101431030) · [5,081 citations](https://openalex.org/works?filter=author.id:A5101431030&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yisen-wang/#papers) · [🔗 Cited 274 times in our library](https://md.research.elamur.ai/free/en/authors/yisen-wang/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6445](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6445) 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=Yisen+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yisen+Wang) · [dblp](https://dblp.org/search?q=Yisen+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yisen+Wang) ## Affiliations [🎓**Peking University** Beijing · China 2020–2026 · 56 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Amazon** Seattle · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Tsinghua University** Beijing · China 2016–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2019–2024 · 13 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**PLA Information Engineering University** Zhengzhou · China 2018–2025 · 11 papers](https://ror.org/00mm1qk40) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2024–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**National Intelligence University** Washington · United States 2023–2024 · 7 papers](https://ror.org/049sfwc36) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 2016–2017 · 3 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🎓**University of Michigan** Ann Arbor · United States 2021–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](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/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yisen-wang/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yisen-wang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbreak-guard-aligned-language-models/)** *(2023 · 130 citations)* Aligned LLMs can still be manipulated into producing harmful output. Existing jailbreaks are either expensive, relying on iterative optimization as in GCG or AutoDAN, or rigid hand-written templates. Wei et al. show that in-context learning alone can push a model's safety behaviour in either direction. 2. **[When More is Less: Understanding Chain-of-Thought Length in LLMs](https://md.research.elamur.ai/free/en/papers/wu-2025-more-less-understanding-chain-thought/)** *(2025 · 73 citations)* The paper asks whether longer Chain-of-Thought (CoT) reasoning always helps LLMs. The authors argue that it does not. They combine three lines of evidence: measurements on public models, controlled experiments, and a formal model. Public models include the Qwen2.5 Instruct series on MATH Level 5, plus RL runs. The… ## All works 6 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. **[Symmetric Cross Entropy for Robust Learning With Noisy Labels ↗](https://doi.org/10.1109/iccv.2019.00041) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yisen Wang et al.*2019 · 1,012 citations* 2. **[Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ↗](https://arxiv.org/abs/1801.02613) arXiv (Cornell University) · no summary yet**Xingjun Ma et al.*2018 · 464 citations* 3. **[Adversarial Weight Perturbation Helps Robust Generalization ↗](https://openalex.org/W3103385169) neural information processing systems · no summary yet**Dongxian Wu, Shu‐Tao Xia, Yisen Wang*2020 · 225 citations* 4. [**Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations arXiv:2310.06387**Zeming Wei, Yifei Wang, Ang Li, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbreak-guard-aligned-language-models/) 5. [**When More is Less: Understanding Chain-of-Thought Length in LLMs arXiv:2502.07266**Yuyang Wu, Yifei Wang, Ziyu Ye, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-more-less-understanding-chain-thought/) 6. **[Hilbert-Based Generative Defense for Adversarial Examples ↗](https://doi.org/10.1109/iccv.2019.00488) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yang Bai et al.*2019 · 52 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Yifei Wang](https://md.research.elamur.ai/free/en/authors/yifei-wang/) ×2 - [Ang Li](https://md.research.elamur.ai/free/en/authors/ang-li/) - [Stefanie Jegelka](https://md.research.elamur.ai/free/en/authors/stefanie-jegelka/) - [Yuyang Wu](https://md.research.elamur.ai/free/en/authors/yuyang-wu/) - [Zeming Wei](https://md.research.elamur.ai/free/en/authors/zeming-wei/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE/CVF International Conference on Computer Vision (ICCV) ×2 - neural information processing systems ## Cited by Papers of our library cite their works 274 times (of the 149,439 papers whose bibliographies we read); [65 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yisen-wang/cited-by/). Updated 2 November 2026