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De-An Huang

De-An Huang has 3 papers in our library, in 2022–2023, most of them on Language models & pretraining; often with Anima Anandkumar, Linxi Fan, Guanzhi Wang.

3 papers in our library · 2022–2023

OpenAlex · ORCID · h-index 31 · 83 works · 3,897 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 343 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #4744

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢NvidiaSanta Clara · United States2021–2025 · 24 paperscurrent🏢NvidiaReading · United Kingdom2021–2025 · 16 paperscurrent🎓Stanford UniversityStanford · United States2015–2020 · 21 papersEducation since 2015 · Computer Science🔬Academia SinicaTaipei · Taiwan2012–2013 · 7 papers🔬Research Center for Information Technology Innovation, Academia SinicaTaipei · Taiwan2012–2013 · 5 papers🎓Carnegie Mellon UniversityPittsburgh · United States2014–2015 · 3 papers🎓National Taiwan UniversityTaipei · Taiwan2012 · 3 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksControl and Systems Engineering · 1 workEngineering · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20231 paper20222 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge (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 (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 (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 ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZelun Luo et al.2017 · 191 citations
  2. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
  3. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
  4. Pre-Trained Language Models for Interactive Decision-MakingarXiv:2202.01771Shuang Li, Xavier Puig, Chris Paxton, et al.2022 · 124 citations
  5. Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDe-An Huang et al.2019 · 124 citations
  6. Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models ↗neural information processing systems · no summary yetManli Shu et al.2022 · 85 citations
  7. NVILA: Efficient Frontier Visual Language Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhijian Liu et al.2025 · 73 citations
  8. Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetZhuolin Yang et al.2023 · 44 citations
  9. Regression Planning Networks ↗arXiv (Cornell University) · no summary yetDanfei Xu et al.2019 · 17 citations
  10. SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ↗arXiv (Cornell University) · no summary yetFan, Linxi et al.2021 · 16 citations
  11. QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation ↗arXiv (Cornell University) · no summary yetYue Zhao et al.2025 · 1 citation

 Co-authors here

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

Venues

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

 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 →.

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