🧑‍🔬 Zheng Wang

🏛️ Affiliations

🎓University of Science and Technology of ChinaHefei · China2000–2026 · 4 paperscurrent🎓Harbin Engineering UniversityHarbin · China2013–2026 · 2 paperscurrent🔬State Key Laboratory of Fire ScienceHefei2026 · 1 papercurrent🎓University of Nottingham Ningbo ChinaNingbo · China2015–2025 · 21 papers🏛️Chinese Academy of SciencesBeijing · China2004–2020 · 6 papers🔬United States Naval Research LaboratoryWashington · United States2013–2018 · 6 papers🎓South China Normal UniversityGuangzhou · China2019–2020 · 5 papers🎓Shanghai Jiao Tong UniversityShanghai · China1997–2025 · 4 papers🎓Southwest Jiaotong UniversityChengdu · China2024–2025 · 4 papers🎓Zhejiang UniversityHangzhou · China2013–2025 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 61 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding (2026 · 4 citations)
   Retrieval-augmented generation over long, visually rich documents (slides, reports, papers) often fails on questions whose answers are spread across several pages.
2. Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards (2026 · 1 citation)
   Vision-language models (VLMs) often fail on charts they have not seen before. Chart questions call for symbolic and quantitative multi-step reasoning, and supervised fine-tuning (SFT) on domain data tends to overfit and cause forgetting. The authors propose Chart-RL, which extends the open-source VLM-R1 platform with…
3. Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute (2026)
   Test-time compute lets small language models reason better by spending extra inference effort, but the two standard strategies have opposite costs.

🤝 Co-authors here

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

• Dan Roth ×2
• Marianne Menglin Liu
• Morteza Dehghani
• Sujith Ravi
• Tao Sheng
• Xin Zhang
• Xingyu Li
• Yingyan Celine Lin
• Yonggan Fu
• Zhivar Sourati

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era: Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026

🔗 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026

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