--- title: "Pengxiang Zhao — author profile and papers in our library" description: "Pengxiang Zhao: 4 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/pengxiang-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/pengxiang-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Pengxiang Zhao # Pengxiang Zhao Pengxiang Zhao has 4 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/), [WenHao Wang](https://md.research.elamur.ai/free/en/authors/wenhao-wang/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139830017) · [**h-index 1**](https://openalex.org/authors/A5139830017) · [3 works](https://openalex.org/works?filter=author.id:A5139830017) · [2 citations](https://openalex.org/works?filter=author.id:A5139830017&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/cited-by/) · [⭐ Paper Stars ranking: #10547](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10547) 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=Pengxiang+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pengxiang+Zhao) · [dblp](https://dblp.org/search?q=Pengxiang+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Pengxiang+Zhao) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Human-Computer Interaction · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/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. **[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. 3. **[Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats](https://md.research.elamur.ai/free/en/papers/zhao-2026-unleashing-low-bit-inference-ascend/)** *(2026 · 1 citation)* The paper asks whether Huawei's HiFloat number formats, built for Ascend NPUs, work well for post-training quantization (PTQ) of large language models. 4. **[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 21 co-authors with a page, the most papers together first. - [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/) ×3 - [WenHao Wang](https://md.research.elamur.ai/free/en/authors/wenhao-wang/) ×3 - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×2 - [Siheng Chen](https://md.research.elamur.ai/free/en/authors/siheng-chen/) ×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/) - [Hui-Ling Zhen](https://md.research.elamur.ai/free/en/authors/hui-ling-zhen/) - [Kexin Zhang](https://md.research.elamur.ai/free/en/authors/kexin-zhang/) - [Mingxuan Yuan](https://md.research.elamur.ai/free/en/authors/mingxuan-yuan/) - [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. - [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 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 14 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/pengxiang-zhao/cited-by/). Updated 1 November 2026