--- title: "Shichao Weng — author profile and papers — Elamur Research" description: "Shichao Weng, Beijing Institute of Technology: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/shichao-weng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shichao-weng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shichao Weng # Shichao Weng Shichao Weng has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Changhai Zhou](https://md.research.elamur.ai/free/en/authors/changhai-zhou/), [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/), [Qian Qiao](https://md.research.elamur.ai/free/en/authors/qian-qiao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5134866346) · [**h-index 1**](https://openalex.org/authors/A5134866346) · [10 works](https://openalex.org/works?filter=author.id:A5134866346) · [1 citations](https://openalex.org/works?filter=author.id:A5134866346&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shichao-weng/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/shichao-weng/cited-by/) · [⭐ Paper Stars ranking: #10760](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10760) 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=Shichao+Weng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shichao+Weng) · [dblp](https://dblp.org/search?q=Shichao+Weng) · [ACL Anthology](https://aclanthology.org/search/?q=Shichao+Weng) ## Affiliations [🎓**Fudan University** Shanghai · China 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Beijing Institute of Technology** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) 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).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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 · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shichao-weng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies](https://md.research.elamur.ai/free/en/papers/zhou-2026-balancing-fidelity-plasticity-aligning-mixed/)** *(2026 · 3 citations)* Fine-tuning large language models on memory-limited hardware usually combines weight quantization with LoRA adapters. 2. **[Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank Substitution](https://md.research.elamur.ai/free/en/papers/zhou-2026-deputy-accelerating-large-language-model/)** *(2026 · 1 citation)* Large language models apply the same dense computation to every token, which wastes resources and slows inference. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Changhai Zhou](https://md.research.elamur.ai/free/en/authors/changhai-zhou/) ×2 - [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/) ×2 - [Qian Qiao](https://md.research.elamur.ai/free/en/authors/qian-qiao/) ×2 - [Yuhua Zhou](https://md.research.elamur.ai/free/en/authors/yuhua-zhou/) ×2 - [Fei Yang](https://md.research.elamur.ai/free/en/authors/fei-yang/) - [Yuhan Wu](https://md.research.elamur.ai/free/en/authors/yuhan-wu/) ## 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/) ×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 4 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/shichao-weng/cited-by/). Updated 31 October 2026