--- title: "Qian Li · Shandong University — author profile and papers" description: "Qian Li, Shandong University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/qian-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qian-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qian Li # Qian Li Qian Li has 2 papers in our library, in 2026; often with [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/), [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/), [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139801589) · [**h-index 0**](https://openalex.org/authors/A5139801589) · [4 works](https://openalex.org/works?filter=author.id:A5139801589) · [0 citations](https://openalex.org/works?filter=author.id:A5139801589&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qian-li/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12184](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12184) 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=Qian+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qian+Li) · [dblp](https://dblp.org/search?q=Qian+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Qian+Li) ## Affiliations [🎓**Shandong University** Jinan · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) 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 8 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/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/qian-li/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis](https://md.research.elamur.ai/free/en/papers/tan-2026-graphdx-cost-aware-knowledge-enhanced/)** *(2026)* In sequential diagnosis, a clinician asks about symptoms and orders tests over several turns, trying to get the diagnosis right without spending too much. 2. **[Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-look-within-or-beyond-theoretical/)** *(2026)* Parameter-efficient fine-tuning (PEFT) methods such as LoRA often match full fine-tuning (FFT) on standard benchmarks. It is less clear whether they hold up on harder tasks like reasoning and instruction-following, or under adversarial inputs. The authors address this with a theoretical analysis backed by experiments. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis](https://md.research.elamur.ai/free/en/papers/tan-2026-graphdx-cost-aware-knowledge-enhanced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shaoting Tan, Ning Liu, Yuntao Du, et al.*2026* 2. **[Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-look-within-or-beyond-theoretical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YongKang Liu, Xingle Xu, Ercong Nie, et al.*2026* 3. **[Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation ↗](https://aclanthology.org/2026.findings-acl.2134/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yang Wu et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) - [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/) - [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) - [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) - [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/) - [Xingle Xu](https://md.research.elamur.ai/free/en/authors/xingle-xu/) - [YongKang Liu](https://md.research.elamur.ai/free/en/authors/yongkang-liu/) - [Zijing Wang](https://md.research.elamur.ai/free/en/authors/zijing-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/) - Findings of the Association for Computational Linguistics: ACL 2026 Updated 1 November 2026