--- title: "Xing Ma — author profile and papers · GPU & parallel computing" description: "Xing Ma, Shanghai Jiao Tong University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xing-ma/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xing-ma/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xing Ma # Xing Ma Xing Ma has 2 papers in our library, in 2026, most of them on [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jin Song Dong](https://md.research.elamur.ai/free/en/authors/jin-song-dong/), [Ke Zeng](https://md.research.elamur.ai/free/en/authors/ke-zeng/), [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5135684575) · [**h-index 0**](https://openalex.org/authors/A5135684575) · [3 works](https://openalex.org/works?filter=author.id:A5135684575) · [0 citations](https://openalex.org/works?filter=author.id:A5135684575&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xing-ma/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/xing-ma/cited-by/) · [⭐ Paper Stars ranking: #12186](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12186) 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=Xing+Ma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xing+Ma) · [dblp](https://dblp.org/search?q=Xing+Ma) · [ACL Anthology](https://aclanthology.org/search/?q=Xing+Ma) ## Affiliations [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🔬**Shanghai Qi Zhi Institute** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shanghai-qi-zhi-institute/) 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xing-ma/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level](https://md.research.elamur.ai/free/en/papers/jia-2026-asymmetric-policy-distillation-bridging-exploitation/)** *(2026 · 6 citations)* On-policy distillation (OPD) lets a small student learn from its own sampled outputs, with a teacher scoring each token by the gap between their log-probabilities. 2. **[CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels](https://md.research.elamur.ai/free/en/papers/ma-2026-cubridge-llm-based-framework-understanding/)** *(2026 · 3 citations)* Fast CUDA kernels for new attention variants, such as custom masks, altered score functions or different normalization, are hard to build. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Jin Song Dong](https://md.research.elamur.ai/free/en/authors/jin-song-dong/) - [Ke Zeng](https://md.research.elamur.ai/free/en/authors/ke-zeng/) - [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/) - [Zequn Sun](https://md.research.elamur.ai/free/en/authors/zequn-sun/) - [Zihan Liu](https://md.research.elamur.ai/free/en/authors/zihan-liu/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/xing-ma/cited-by/). Updated 3 November 2026