---
title: "Shiquan Wang · China Telecom — author profile and papers"
description: "Shiquan Wang, China Telecom: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/shiquan-wang/"
---
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# Shiquan Wang

Shiquan Wang has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Shuangyong Song](https://md.research.elamur.ai/free/en/authors/shuangyong-song/), [Xuelong Li](https://md.research.elamur.ai/free/en/authors/xuelong-li/), [Fang Yu](https://md.research.elamur.ai/free/en/authors/fang-yu/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139765916) · [**h-index 0**](https://openalex.org/authors/A5139765916) · [4 works](https://openalex.org/works?filter=author.id:A5139765916) · [0 citations](https://openalex.org/works?filter=author.id:A5139765916&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shiquan-wang/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12792](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12792)

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

## Affiliations

[🏢**China Telecom** Beijing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/china-telecom-cn/)

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 7 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/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/shiquan-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TeleAI at SemEval-2026 Task 3: Large Language Models for Dimensional Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zhou-2026-teleai-semeval-2026-task-3/)** *(2026 · 1 citation)* This paper describes TeleAI's entry for Track A, Subtask 1 (DimASR) of SemEval-2026 Task 3. In this task, sentiment toward each aspect term is not a polarity label but a pair of continuous Valence–Arousal (VA) scores between 1 and 9, scored with RMSE_VA. The authors treat the problem as direct regression. The input…
2. **[TeleAI at SemEval-2026 Task 13: Data-Centric Full-Parameter Fine-Tuning with Multi-Level Ensembling for Generated Code Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-teleai-semeval-2026-task-13/)** *(2026)* The paper describes TeleAI's entry to SemEval-2026 Task 13, which focuses on telling human-written source code apart from LLM-generated code. The task has three subtasks:
3. **[TeleAI at SemEval-2026 Task 6: A Confidence-Aware Multi-Stage Reasoning Framework with Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/shi-2026-teleai-semeval-2026-task-6/)** *(2026)* The paper presents TeleAI's winning system for SemEval-2026 Task 6 (CLARITY). The task asks whether answers in English political interviews actually respond to a given sub-question. SubTask 1 uses three coarse clarity labels, and SubTask 2 uses nine fine-grained evasion categories. The authors propose CAMSR-CoT, a…

## Co-authors here

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

- [Shuangyong Song](https://md.research.elamur.ai/free/en/authors/shuangyong-song/) ×3
- [Xuelong Li](https://md.research.elamur.ai/free/en/authors/xuelong-li/) ×3
- [Fang Yu](https://md.research.elamur.ai/free/en/authors/fang-yu/) ×2
- [Yongxiang Li](https://md.research.elamur.ai/free/en/authors/yongxiang-li/) ×2
- [Haoyu Jin](https://md.research.elamur.ai/free/en/authors/haoyu-jin/)
- [Lingling Shi](https://md.research.elamur.ai/free/en/authors/lingling-shi/)
- [Mengjiao Bao](https://md.research.elamur.ai/free/en/authors/mengjiao-bao/)
- [Ruiyu Fang](https://md.research.elamur.ai/free/en/authors/ruiyu-fang/)
- [Yan Zhou](https://md.research.elamur.ai/free/en/authors/yan-zhou/)

## Venues

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

- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) ×3: [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ×3

## Cited by

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

Updated 2 November 2026
