Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Qixin Wang

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

University of Arkansas

Also affiliated: Walmart (United States) (2025–2026); China Centre for Resources Satellite Data and Application (2014); Wuhan Textile University (2025)

Unknown Researcher

1 h-index 6 pubs 9 cited

Research Areas

Links

Lab Website

OverviewAI-generated summary

Qixin Wang's research focuses on the development and application of advanced computational systems, particularly those leveraging large language models (LLMs) and large vision models. Recent work includes the creation of AdaptJobRec, an LLM-powered agentic system designed to enhance conversational career recommendations, with publications in 2025 and 2026. Wang also contributed to the development of a hybrid large vision model-powered GUI agent for the Walmart Myassistant application, presented in 2025. Other research interests include the practical implementation of cryptographic schemes, such as a universal designated verifier transitive signature proof scheme for graph-based data systems, and methods for improving knowledge graph embeddings, exemplified by the SplitE system developed in 2025. Wang has co-authored publications with Xintao Wu and Diwash Pokharel at the University of Arkansas at Fayetteville.

Metrics

  • h-index: 1
  • Publications: 6
  • Citations: 9

Selected Publications

  • AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System (2026)
    Proceedings of the AAAI Conference on Artificial Intelligence 1 citation DOI OpenAlex
  • SplitE: Enhancing Knowledge Graph Embedding Precision with Entity Split and Contextualization (2025)
    ACM Transactions on Recommender Systems 1 citation DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

15 Collaborators 2 Institutions 1 Country

Top Collaborators

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