---
title: "Stephen Wang — author profile and papers — Elamur Research"
description: "Stephen Wang, University of California San Diego: 2 papers on Elamur Research (2026), h-index 15 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/stephen-wang/"
---
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# Stephen Wang

Stephen Wang has 2 papers in our library, in 2026, 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/); often with [Biwei Huang](https://md.research.elamur.ai/free/en/authors/biwei-huang/), [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/), [Kun Zhou](https://md.research.elamur.ai/free/en/authors/kun-zhou/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5101751091) · [ORCID](https://orcid.org/0000-0002-1906-9206) · [**h-index 15**](https://openalex.org/authors/A5101751091) · [59 works](https://openalex.org/works?filter=author.id:A5101751091) · [974 citations](https://openalex.org/works?filter=author.id:A5101751091&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/stephen-wang/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12311](https://md.research.elamur.ai/free/en/paper-stars/page/124/#star-12311)

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=Stephen+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Stephen+Wang) · [dblp](https://dblp.org/search?q=Stephen+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Stephen+Wang)

## Affiliations

[🎓**University of California San Diego** San Diego · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🏢**Viavi Solutions** Newbury · United Kingdom 2023–2025 · 7 papers](https://ror.org/0489rbg31) · [🏢**Toshiba** Weybridge · United Kingdom 2013–2016 · 6 papers](https://ror.org/054hmd463) · [🏢**Huawei Technologies** Basingstoke · United Kingdom 2021–2022 · 4 papers](https://ror.org/056gzgs71) · [🎓**Dalhousie University** Halifax · Canada 2009–2010 · 3 papers](https://md.research.elamur.ai/free/en/universities/dalhousie-university/) · [🏢**Toshiba** Tokyo · Japan 2013 · 2 papers](https://md.research.elamur.ai/free/en/companies/toshiba/)

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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/stephen-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback](https://md.research.elamur.ai/free/en/papers/yang-2026-time-ra-time-series-reasoning/)** *(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](https://md.research.elamur.ai/free/en/papers/zhu-2026-hybrid-self-evolving-structured-memory/)** *(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.

- [Biwei Huang](https://md.research.elamur.ai/free/en/authors/biwei-huang/)
- [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/)
- [Kun Zhou](https://md.research.elamur.ai/free/en/authors/kun-zhou/)
- [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/)
- [Yiyuan Yang](https://md.research.elamur.ai/free/en/authors/yiyuan-yang/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026
