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Qiujie Xie

Qiujie Xie has 2 papers in our library, in 2025; often with Minjun Zhu, Yixuan Weng, Yue Zhang.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 7 · 20 works · 188 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 27 times in our library · ⭐ Paper Stars ranking: #10520

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Jinan UniversityGuangzhou · China2020–2026 · 12 paperscurrent🏥ShenZhen People’s HospitalShenzhen · China2021–2026 · 9 paperscurrent🎓Southern University of Science and TechnologyShenzhen · China2021–2026 · 8 paperscurrent🎓Westlake UniversityHangzhou · China2025–2026 · 4 paperscurrent🎓Nanjing University of Science and TechnologyNanjing · China2026 · 1 papercurrent🎓Fudan UniversityShanghai · China2023–2024 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksDecision Sciences · 2 worksInformation Systems and Management · 2 worksMaterials Chemistry · 1 workMaterials Science · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively (2025 · 17 citations)
    DeepScientist addresses a weakness of earlier "AI Scientist" agents. Those systems produce novel but often aimless results that rarely solve problems humans actually care about. The authors frame research as goal-directed Bayesian Optimization: the agent searches the space of candidate methods for the one that…
  2. AI Scientists Fail Without Strong Implementation Capability (2025 · 12 citations)
    This position paper asks why LLM-based "AI Scientist" systems have not yet delivered a computer-science breakthrough comparable to specialized tools such as AlphaFold, despite reports that their papers were accepted at an ICLR 2025 workshop and ACL 2025.

 Co-authors here

7 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 27 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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