--- title: "Hongming Piao — author profile and papers · Reasoning" description: "Hongming Piao, City University of Hong Kong: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/hongming-piao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hongming-piao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hongming Piao # Hongming Piao Hongming Piao has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bryan Dai](https://md.research.elamur.ai/free/en/authors/bryan-dai/), [Chi Liu](https://md.research.elamur.ai/free/en/authors/chi-liu/), [Hao Gu](https://md.research.elamur.ai/free/en/authors/hao-gu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5035521063) · [ORCID](https://orcid.org/0009-0009-0554-844X) · [Wikidata](https://www.wikidata.org/wiki/Q131012160) · [**h-index 2**](https://openalex.org/authors/A5035521063) · [13 works](https://openalex.org/works?filter=author.id:A5035521063) · [16 citations](https://openalex.org/works?filter=author.id:A5035521063&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hongming-piao/#papers) · 🔗 Cited 3 times in our library · [⭐ Paper Stars ranking: #12221](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12221) 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=Hongming+Piao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hongming+Piao) · [dblp](https://dblp.org/search?q=Hongming+Piao) · [ACL Anthology](https://aclanthology.org/search/?q=Hongming+Piao) ## Affiliations [🎓**City University of Hong Kong** Hong Kong · China 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) 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 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hongming-piao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-while-staying-curious-entropy/)** *(2026 · 3 citations)* Large reasoning models are usually post-trained by supervised fine-tuning followed by reinforcement learning (SFT-then-RL). 2. **[Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-is-not-all-you/)** *(2026)* Strong medical reasoning in LLMs usually depends on very large models and costly hand-annotated chain-of-thought data. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Bryan Dai](https://md.research.elamur.ai/free/en/authors/bryan-dai/) - [Chi Liu](https://md.research.elamur.ai/free/en/authors/chi-liu/) - [Hao Gu](https://md.research.elamur.ai/free/en/authors/hao-gu/) - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) - [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/) - [Xiangyu Yue](https://md.research.elamur.ai/free/en/authors/xiangyu-yue/) - [Yan Shu](https://md.research.elamur.ai/free/en/authors/yan-shu/) - [Yike Guo](https://md.research.elamur.ai/free/en/authors/yike-guo/) - [Yuxiao Ye](https://md.research.elamur.ai/free/en/authors/yuxiao-ye/) ## 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026