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Qing Wang

Qing Wang has 2 papers in our library, in 2023–2026, most of them on Interpretability; often with Junjie Wang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 29 · 381 works · 3,572 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #4472

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 FloridaGainesville · United States2024–2026 · 4 paperscurrent🎓University of South ChinaHengyang · China2022–2026 · 2 paperscurrent🎓Nanjing UniversityNanjing · China2026 · 1 papercurrent🎓University of Florida HealthGainesville · United States2026 · 1 papercurrent🎓Australian National UniversityCanberra · Australia2006–2025 · 74 papers🏛️Chinese Academy of SciencesBeijing · China2004–2024 · 25 papers🎓University of OtagoDunedin · New Zealand2009–2020 · 19 papers🔬Institute of SoftwareBeijing · China2004–2021 · 17 papers🎓Tsinghua UniversityBeijing · China2009–2023 · 15 papers🎓Northwestern Polytechnical UniversityXi'an · China2002–2024 · 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 83 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Science Applications · 1 workInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Interpretability · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Knowledge Tracing: A Survey (2023 · 480 citations)
    Knowledge Tracing (KT) estimates how well a learner has mastered underlying skills from their history of answering questions, and uses this estimate to predict future answers.
  2. DEFT: Demystifying VLN Failures via a Unified Dual-View Explainability Framework for LLM-based Agents (2026)
    LLM planners in Vision-and-Language Navigation (VLN) are hard to diagnose. Existing explanation tools either find important timesteps or highlight important visual features, but not both together. They also handle the run-to-run randomness of black-box LLM agents poorly, and textual Chain-of-Thought is often…

 Co-authors here

1 co-author 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 12 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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