--- title: "Shihao Liu — author profile and papers · Question answering" description: "Shihao Liu, Chinese Academy of Sciences: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/shihao-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shihao-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shihao Liu # Shihao Liu Shihao Liu has 2 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Geyuan Zhang](https://md.research.elamur.ai/free/en/authors/geyuan-zhang/), [Xiaofei Zhou](https://md.research.elamur.ai/free/en/authors/xiaofei-zhou/), [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139805771) · [**h-index 1**](https://openalex.org/authors/A5139805771) · [3 works](https://openalex.org/works?filter=author.id:A5139805771) · [1 citations](https://openalex.org/works?filter=author.id:A5139805771&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shihao-liu/#papers) · [⭐ Paper Stars ranking: #13905](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13905) 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=Shihao+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shihao+Liu) · [dblp](https://dblp.org/search?q=Shihao+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Shihao+Liu) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) 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 4 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shihao-liu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[SDC-LoRA: Singular-Subspace Drift Controlled LoRA to Mitigate Knowledge Forgetting](https://md.research.elamur.ai/free/en/papers/zhang-2026-sdc-lora-singular-subspace-drift/)** *(2026)* Fine-tuning LLMs with LoRA often erodes general knowledge, which is thought to sit mainly in the principal singular subspace of the pretrained weight W0. 2. **[Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-temporal-evidence-chain-temporal-knowledge/)** *(2026)* The paper addresses question answering over temporal knowledge graphs (TKGQA), where questions such as "who first visited X after Y" require reasoning along an event timeline. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Geyuan Zhang](https://md.research.elamur.ai/free/en/authors/geyuan-zhang/) ×2 - [Xiaofei Zhou](https://md.research.elamur.ai/free/en/authors/xiaofei-zhou/) ×2 - [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/) ## 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/) Updated 2 November 2026