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Biwei Huang

Biwei Huang has 2 papers in our library, in 2026; often with Kun Zhou, Letian Peng, Lianhui Qin.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 15 · 98 works · 815 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #13451

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

🎓University of California San DiegoSan Diego · United States2022–2026 · 44 paperscurrent🏢Surface OpticsSan Diego · United States2026 · 1 papercurrent🎓Technische Universität BerlinBerlin · Germany2026 · 1 papercurrent🎓University of San DiegoSan Diego · United States2026 · 1 papercurrent🎓Carnegie Mellon UniversityPittsburgh · United States2015–2021 · 20 papers🔬Max Planck Institute for Intelligent SystemsStuttgart · Germany2015–2017 · 3 papers🎓Beijing Technology and Business UniversityBeijing · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. C-World: A Computer Use Agent Environment Creator (2026)
    LLM agents still fall short of humans at long-horizon planning, partly because training environments are few, narrow, and costly to build by hand.
  2. Hybrid Self-evolving Structured Memory for Computer-Use Agents (2026)
    Agents that operate computers through vision–language models (VLMs) often fail on long, multi-step tasks. They make mistakes partway through or miss important constraints. Earlier memory add-ons store past trajectories as flat lists, either as text summaries or as dense vectors, and retrieve them by similarity alone.…

All works

3 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. C-World: A Computer Use Agent Environment CreatorAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqiao Xi, Shuang Liang, Qi Liu, et al.2026
  2. Hybrid Self-evolving Structured Memory for Computer-Use AgentsFindings of the Association for Computational LinguisticsSibo Zhu, Wenyi WU, Kun Zhou, et al.2026
  3. Hallucination-Resistant Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement ↗arXiv:2508.14391 · no summary yetYupei Yang et al.2025

 Co-authors here

7 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/biwei-huang/