--- title: "De-An Huang — author profile and papers — Elamur Research" description: "De-An Huang, Nvidia: 3 papers on Elamur Research (2022–2023), h-index 31 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/de-an-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/de-an-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / De-An Huang # De-An Huang De-An Huang has 3 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Anima Anandkumar](https://md.research.elamur.ai/free/en/authors/anima-anandkumar/), [Linxi Fan](https://md.research.elamur.ai/free/en/authors/linxi-fan/), [Guanzhi Wang](https://md.research.elamur.ai/free/en/authors/guanzhi-wang/). 3 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5052829033) · [ORCID](https://orcid.org/0000-0002-6945-7768) · [**h-index 31**](https://openalex.org/authors/A5052829033) · [83 works](https://openalex.org/works?filter=author.id:A5052829033) · [3,897 citations](https://openalex.org/works?filter=author.id:A5052829033&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/de-an-huang/#papers) · [🔗 Cited 343 times in our library](https://md.research.elamur.ai/free/en/authors/de-an-huang/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4744](https://md.research.elamur.ai/free/en/paper-stars/page/48/#star-4744) 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=De-An+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=De-An+Huang) · [dblp](https://dblp.org/search?q=De-An+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=De-An+Huang) ## Affiliations [🏢**Nvidia** Santa Clara · United States 2021–2025 · 24 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2021–2025 · 16 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**Stanford University** Stanford · United States 2015–2020 · 21 papersEducation since 2015 · Computer Science](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🔬**Academia Sinica** Taipei · Taiwan 2012–2013 · 7 papers](https://md.research.elamur.ai/free/en/labs/academia-sinica/) · [🔬**Research Center for Information Technology Innovation, Academia Sinica** Taipei · Taiwan 2012–2013 · 5 papers](https://ror.org/000zgvm20) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2014–2015 · 3 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**National Taiwan University** Taipei · Taiwan 2012 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/de-an-huang/year/2023/) · [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/de-an-huang/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge](https://md.research.elamur.ai/free/en/papers/fan-2022-minedojo-building-open-ended-embodied/)** *(2022 · 149 citations)* Most embodied agents are trained from scratch in narrow environments with hand-designed objectives, so they rarely generalize to new goals. 2. **[Eureka: Human-Level Reward Design via Coding Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-eureka-human-level-reward-design/)** *(2023 · 142 citations)* Hand-crafting reward functions for reinforcement learning is slow, relies on trial and error, and often yields sub-optimal results. 3. **[Pre-Trained Language Models for Interactive Decision-Making](https://md.research.elamur.ai/free/en/papers/li-2022-pre-trained-language-models-interactive/)** *(2022 · 124 citations)* The paper asks whether language models trained only on text can serve as a backbone for sequential decision-making, even when the task involves no language. ## All works 11 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. **[Unsupervised Learning of Long-Term Motion Dynamics for Videos ↗](https://doi.org/10.1109/cvpr.2017.751) 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**Zelun Luo et al.*2017 · 191 citations* 2. [**MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge arXiv:2206.08853**Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/fan-2022-minedojo-building-open-ended-embodied/) 3. [**Eureka: Human-Level Reward Design via Coding Large Language Models arXiv:2310.12931**Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-eureka-human-level-reward-design/) 4. [**Pre-Trained Language Models for Interactive Decision-Making arXiv:2202.01771**Shuang Li, Xavier Puig, Chris Paxton, et al.*2022 · 124 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-pre-trained-language-models-interactive/) 5. **[Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration ↗](https://doi.org/10.1109/cvpr.2019.00876) 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**De-An Huang et al.*2019 · 124 citations* 6. **[Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models ↗](https://doi.org/10.52202/068431-1038) neural information processing systems · no summary yet**Manli Shu et al.*2022 · 85 citations* 7. **[NVILA: Efficient Frontier Visual Language Models ↗](https://doi.org/10.1109/cvpr52734.2025.00390) 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**Zhijian Liu et al.*2025 · 73 citations* 8. **[Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning ↗](https://aclanthology.org/2023.findings-emnlp.793/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Zhuolin Yang et al.*2023 · 44 citations* 9. **[Regression Planning Networks ↗](https://arxiv.org/abs/1909.13072) arXiv (Cornell University) · no summary yet**Danfei Xu et al.*2019 · 17 citations* 10. **[SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ↗](https://arxiv.org/abs/2106.09678) arXiv (Cornell University) · no summary yet**Fan, Linxi et al.*2021 · 16 citations* 11. **[QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation ↗](https://arxiv.org/abs/2502.05178) arXiv (Cornell University) · no summary yet**Yue Zhao et al.*2025 · 1 citation* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Anima Anandkumar](https://md.research.elamur.ai/free/en/authors/anima-anandkumar/) ×3 - [Linxi Fan](https://md.research.elamur.ai/free/en/authors/linxi-fan/) ×3 - [Guanzhi Wang](https://md.research.elamur.ai/free/en/authors/guanzhi-wang/) ×2 - [Yuke Zhu](https://md.research.elamur.ai/free/en/authors/yuke-zhu/) ×2 - [Ekin Akyurek](https://md.research.elamur.ai/free/en/authors/ekin-akyurek/) - [Igor Mordatch](https://md.research.elamur.ai/free/en/authors/igor-mordatch/) - [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/) - [Shuang Li](https://md.research.elamur.ai/free/en/authors/shuang-li/) - [Tao Chen](https://md.research.elamur.ai/free/en/authors/tao-chen/) - [Yilun Du](https://md.research.elamur.ai/free/en/authors/yilun-du/) ## 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 ×3 - Findings of the Association for Computational Linguistics: EMNLP 2023 - neural information processing systems ## Cited by Papers of our library cite their works 343 times (of the 149,439 papers whose bibliographies we read); [63 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/de-an-huang/cited-by/). Updated 2 November 2026