--- title: "Yifu Gao — author profile and papers — Elamur Research" description: "Yifu Gao, National University of Defense Technology: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yifu-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifu-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yifu Gao # Yifu Gao Yifu Gao 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/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Dongsheng Li](https://md.research.elamur.ai/free/en/authors/dongsheng-li/), [Linbo Qiao](https://md.research.elamur.ai/free/en/authors/linbo-qiao/), [Zhen Huang](https://md.research.elamur.ai/free/en/authors/zhen-huang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5011016539) · [ORCID](https://orcid.org/0000-0002-1743-8055) · [**h-index 5**](https://openalex.org/authors/A5011016539) · [21 works](https://openalex.org/works?filter=author.id:A5011016539) · [111 citations](https://openalex.org/works?filter=author.id:A5011016539&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yifu-gao/#papers) · [⭐ Paper Stars ranking: #14053](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14053) 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=Yifu+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifu+Gao) · [dblp](https://dblp.org/search?q=Yifu+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Yifu+Gao) ## Affiliations [🎓**National University of Defense Technology** Changsha · China 2021–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🔬**Research Institute of Petroleum Exploration and Development** Beijing · China 2012–2023 · 4 papers](https://ror.org/02awe6g05) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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/) · [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/) · [Language and Linguistics · 2 works](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/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 4 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yifu-gao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Emotion Trajectory-aware Retrieval for Markov-driven Emotion Anticipation in LLM-based Emotional Support Conversation](https://md.research.elamur.ai/free/en/papers/wu-2026-emotion-trajectory-aware-retrieval-markov/)** *(2026)* This paper addresses strategy selection in LLM-based emotional support conversation (ESC). Existing planners mostly react to the current dialogue state. Retrieval-based anticipation methods match only the user's present emotion and ignore how that emotion evolved over earlier turns. The authors propose a framework… 2. **[GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning](https://md.research.elamur.ai/free/en/papers/tian-2026-grass-gradient-based-adaptive-layer/)** *(2026)* Full-parameter fine-tuning of large language models needs a lot of GPU memory. LoRA-style methods reduce this cost but lose expressiveness. Layer-wise methods such as LISA reduce memory by training only a few layers at a time. However, they choose those layers with fixed rules that ignore how layer relevance changes… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Dongsheng Li](https://md.research.elamur.ai/free/en/authors/dongsheng-li/) ×2 - [Linbo Qiao](https://md.research.elamur.ai/free/en/authors/linbo-qiao/) ×2 - [Zhen Huang](https://md.research.elamur.ai/free/en/authors/zhen-huang/) ## 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 Updated 2 November 2026