🧑‍🔬 Huan Zhang

🏛️ Affiliations

🎓Central South UniversityChangsha · China2026 · 1 papercurrent🎓Hunan Normal UniversityChangsha · China2026 · 1 papercurrent🎓Nanjing UniversityNanjing · China2026 · 1 papercurrent🎓University of Illinois Urbana-ChampaignUrbana · United States2026 · 1 papercurrent

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.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Reducing Sentiment Bias in Language Models via Counterfactual Evaluation (2019 · 104 citations)
   The paper examines whether text produced by large language models carries sentiment bias, where the tone of a continuation shifts depending on which country, occupation or person name appears in the prompt.
2. AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time (2025 · 10 citations)
   Models like OpenAI o1 and DeepSeek-R1, known as large reasoning models (LRMs), frequently overthink or underthink at inference time.
3. Bootstrapping Code Translation with Weighted Multilanguage Exploration (2026)
   Translating code between several programming languages with LLMs runs into two problems. Parallel code that comes with executable tests is scarce, and training on many language pairs at once tends to favor the easier directions. BootTrans tackles both with reinforcement learning from verifiable rewards. It starts…
4. CascadeFix: Multi-Location Program Repair via Cascading Planning and Generation (2026)
   Most LLM-based automated program repair (APR) tools handle bugs one location at a time, following line order. They struggle when a single bug must be fixed in several non-contiguous code hunks. On such multi-location bugs, success rates of state-of-the-art methods fall from about 52% to 13%.
5. How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors (2026)
   The paper asks how purely visual properties of a webpage steer the choices of VLM-based web agents in benign, non-adversarial settings. Earlier work covered mainly textual signals (price, ratings) or attacks. The authors build VAF, a three-stage evaluation pipeline:
6. Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science (2026)
   Existing materials-science QA benchmarks such as MaScQA and SciQA are mostly text-only. They do not test whether multimodal models can read experimental figures and reason about them at a research level. The authors present MatVQA, a benchmark of 1,672 multiple-choice questions built from recent arXiv materials…

🤝 Co-authors here

12 of 21 co-authors with a page, the most papers together first.

• Han Wang ×2
• Bang Liu
• Chen Shen
• Dani Yogatama
• Hongyuan Mei
• Jack W. Rae
• Jitendra Malik
• Johannes Welbl
• Li Kuang
• Po-Sen Huang
• Pushmeet Kohli
• Robert Stanforth

Venues

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

• Findings of the Association for Computational Linguistics ×3: Findings of the Association for Computational Linguistics 2026 ×3
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025

🔗 Cited by

Papers of our library cite their works 92 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated 2 November 2026

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