--- title: "Yulong Ao — author profile and papers — Elamur Research" description: "Yulong Ao, Beijing Academy of Artificial Intelligence: 3 papers on Elamur Research (2024–2026), h-index 8 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/yulong-ao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yulong-ao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yulong Ao # Yulong Ao Yulong Ao has 3 papers in our library, in 2024–2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/), [Lyu Mengsi](https://md.research.elamur.ai/free/en/authors/lyu-mengsi/), [Yonghua Lin](https://md.research.elamur.ai/free/en/authors/yonghua-lin/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5001005409) · [**h-index 8**](https://openalex.org/authors/A5001005409) · [22 works](https://openalex.org/works?filter=author.id:A5001005409) · [358 citations](https://openalex.org/works?filter=author.id:A5001005409&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yulong-ao/#papers) · [🔗 Cited 25 times in our library](https://md.research.elamur.ai/free/en/authors/yulong-ao/cited-by/) · [⭐ Paper Stars ranking: #10826](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10826) 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=Yulong+Ao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yulong+Ao) · [dblp](https://dblp.org/search?q=Yulong+Ao) · [ACL Anthology](https://aclanthology.org/search/?q=Yulong+Ao) ## Affiliations [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**Peking University** Beijing · China 2018–2024 · 7 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2015–2018 · 6 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2015–2017 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Institute of Software** Beijing · China 2015–2017 · 3 papers](https://md.research.elamur.ai/free/en/labs/institute-of-software/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2019 · 2 papers](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](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 · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yulong-ao/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yulong-ao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-pdtrim-targeted-pruning-prefill-decode/)** *(2026 · 6 citations)* Production LLM serving often splits inference into two parts: a prefill stage that processes the prompt and builds the KV cache, and a decode stage that generates tokens. 2. **[TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-trimtokenator-adaptive-visual-token-pruning/)** *(2026 · 6 citations)* Large multimodal models turn an image into thousands of visual tokens. Because self-attention cost grows quadratically with sequence length, these tokens make inference slow and memory-hungry. The authors first compare the two modalities through attention patterns, semantic distribution and repeated information. They… 3. **[Aquila2 Technical Report](https://md.research.elamur.ai/free/en/papers/zhang-2024-aquila2-technical-report/)** *(2024 · 1 citation)* Most LLMs are pretrained on a fixed dataset over a long run, so it is hard to change the data mix or add new sources partway through. BAAI's Aquila2 is a family of Chinese–English bilingual models at 7B, 34B and an experimental 70B size. They were trained with HeuriMentor (HM), a framework with three parts: ## Co-authors here 9 co-authors with a page, the most papers together first. - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) ×2 - [Lyu Mengsi](https://md.research.elamur.ai/free/en/authors/lyu-mengsi/) ×2 - [Yonghua Lin](https://md.research.elamur.ai/free/en/authors/yonghua-lin/) ×2 - [Bo-Wen Zhang](https://md.research.elamur.ai/free/en/authors/bo-wen-zhang/) - [Boyan Gao](https://md.research.elamur.ai/free/en/authors/boyan-gao/) - [Guang Liu](https://md.research.elamur.ai/free/en/authors/guang-liu/) - [Liangdong Wang](https://md.research.elamur.ai/free/en/authors/liangdong-wang/) - [Shuhao Gu](https://md.research.elamur.ai/free/en/authors/shuhao-gu/) - [Zhuo Chen](https://md.research.elamur.ai/free/en/authors/zhuo-chen/) ## 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 25 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yulong-ao/cited-by/). Updated 2 November 2026