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Stephen Wang

Stephen Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Biwei Huang, Jiang Bian, Kun Zhou.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 15 · 59 works · 974 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12311

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 States2026 · 2 paperscurrent🏢Viavi SolutionsNewbury · United Kingdom2023–2025 · 7 papers🏢ToshibaWeybridge · United Kingdom2013–2016 · 6 papers🏢Huawei TechnologiesBasingstoke · United Kingdom2021–2022 · 4 papers🎓Dalhousie UniversityHalifax · Canada2009–2010 · 3 papers🏢ToshibaTokyo · Japan2013 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Networks and Communications · 1 workSignal Processing · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback (2026 · 3 citations)
    Conventional time series anomaly detection (TSAD) usually just labels data as normal or anomalous. It does not say what kind of anomaly occurred or why. The authors propose TIME-RA, which recasts TSAD as a generative reasoning problem. A (multimodal) LLM must detect an anomaly, assign it to a fine-grained category…
  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.…

 Co-authors here

5 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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