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Yanguang Liu

Yanguang Liu has 3 papers in our library, in 2026, most of them on Vision & language, Evaluation & benchmarks; often with Huopu Zhang, Mengnan Du, Dong Shu.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 4 · 14 works · 46 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10374

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

🎓New Jersey Institute of TechnologyNewark · United States2026 · 3 paperscurrent🎓Huazhong Agricultural UniversityWuhan · China2021–2024 · 6 papers

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 2 worksAccounting · 2 worksBusiness, Management and Accounting · 2 worksDecision Sciences · 2 worksManagement Science and Operations Research · 2 works

🧭 Topics 2Research subjects and languages the work is about.Vision & language · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models (2026 · 3 citations)
    Vision-language models have improved at reading charts, but financial charts, with dense layouts, time-series structure and specialist vocabulary, have received little dedicated evaluation.
  2. SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection (2026 · 2 citations)
    The paper addresses forecasting whether a company will beat or miss earnings expectations using long, noisy financial texts.
  3. FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise Prediction (2026 · 1 citation)
    Forecasting whether a company's reported earnings per share will beat or miss market expectations can drive investment decisions.

 Co-authors here

4 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 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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