--- title: "WenHao Wang — author profile and papers — Elamur Research" description: "WenHao Wang, University of Massachusetts Dartmouth: 5 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/wenhao-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wenhao-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / WenHao Wang # WenHao Wang WenHao Wang has 5 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/), [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/), [Siheng Chen](https://md.research.elamur.ai/free/en/authors/siheng-chen/). 5 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139847420) · [**h-index 1**](https://openalex.org/authors/A5139847420) · [5 works](https://openalex.org/works?filter=author.id:A5139847420) · [3 citations](https://openalex.org/works?filter=author.id:A5139847420&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/wenhao-wang/#papers) · [🔗 Cited 21 times in our library](https://md.research.elamur.ai/free/en/authors/wenhao-wang/cited-by/) · [⭐ Paper Stars ranking: #8783](https://md.research.elamur.ai/free/en/paper-stars/page/88/#star-8783) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=WenHao+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=WenHao+Wang) · [dblp](https://dblp.org/search?q=WenHao+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=WenHao+Wang) ## Affiliations [🎓**University of Massachusetts Dartmouth** North Dartmouth · United States 2026 · 1 paper*current*](https://ror.org/00fzmm222) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) 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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Human-Computer Interaction · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/wenhao-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark](https://md.research.elamur.ai/free/en/papers/liu-2026-learnact-few-shot-mobile-gui/)** *(2026 · 9 citations)* Mobile GUI agents built on large language models often fail in rare, app-specific situations that pre-training or fine-tuning cannot fully cover. 2. **[MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools](https://md.research.elamur.ai/free/en/papers/wang-2026-mcp-flow-facilitating-llm-agents/)** *(2026 · 7 citations)* LLM agents increasingly need to work with tools exposed through the Model Contextual Protocol (MCP), but even strong models handle real MCP servers poorly. 3. **[MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-mas-bench-unified-benchmark-shortcut/)** *(2026 · 6 citations)* Mobile agents driven by multimodal LLMs usually act only through the interface: they tap, swipe and type step by step. This is flexible but slow. Shortcuts such as APIs, deep-links and RPA scripts can skip whole sequences of GUI steps, but no benchmark has systematically tested agents that mix the two. 4. **[Ro-SLM: Onboard Small Language Models for Robot Task Planning and Operation Code Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-ro-slm-onboard-small-language/)** *(2026 · 2 citations)* Robots that interpret natural-language commands usually depend on cloud-hosted or very large LLMs. This rules out platforms such as UAVs and small ground vehicles, which may have weak connectivity and limited compute. Ro-SLM addresses this by transferring LLM knowledge into a small model that runs onboard. 5. **[FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-fedgui-benchmarking-federated-gui-agents/)** *(2026)* GUI agents built on vision–language models usually depend on centrally gathered, manually labelled interaction data, which is expensive and hard to scale. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/) ×3 - [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/) ×3 - [Siheng Chen](https://md.research.elamur.ai/free/en/authors/siheng-chen/) ×3 - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×2 - [Yaozhen Liang](https://md.research.elamur.ai/free/en/authors/yaozhen-liang/) ×2 - [Yuxiang Chai](https://md.research.elamur.ai/free/en/authors/yuxiang-chai/) ×2 - [Zhengxi Lu](https://md.research.elamur.ai/free/en/authors/zhengxi-lu/) ×2 - [Hanzhang Zhou](https://md.research.elamur.ai/free/en/authors/hanzhang-zhou/) - [Jian Du](https://md.research.elamur.ai/free/en/authors/jian-du/) - [Jiawei Yuan](https://md.research.elamur.ai/free/en/authors/jiawei-yuan/) - [Kexin Zhang](https://md.research.elamur.ai/free/en/authors/kexin-zhang/) - [Shuai Ren](https://md.research.elamur.ai/free/en/authors/shuai-ren/) ## 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](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wenhao-wang/cited-by/). Updated 1 November 2026