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Ruizhi Qiao

Ruizhi Qiao has 2 papers in our library, in 2026, most of them on Evaluation & benchmarks, Information retrieval & search; often with Xing Sun, Ke Wang, Keyu Chen.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 12 · 54 works · 1,721 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 13 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #10591

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

🏢TencentShenzhen · China2019–2026 · 35 papersEmploymentcurrent🎓The University of AdelaideAdelaide · Australia2013–2017 · 6 papersEducation 2013–2017 · PhD, Computer Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical Chunking (2026 · 4 citations)
    RAG pipelines depend on how documents are split into chunks, yet standard RAG benchmarks reveal little about chunking quality.
  2. Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints (2026 · 1 citation)
    Benchmarks for search agents that must enumerate large, open-ended answer sets face a paradox. Judging completeness needs a full ground truth, but humans cannot reliably build one for such high-entropy queries. As a result, agents that find valid items missing from the annotated pool get marked as hallucinating.

All works

5 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. Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRuizhi Qiao et al.2016 · 183 citations
  2. HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMengtian Li et al.2022 · 104 citations
  3. Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetCheng‐Wei Chen et al.2022 · 74 citations
  4. HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical ChunkingAnnual Meeting of the Association for Computational Linguistics (ACL)Wensheng Lu, Keyu Chen, Zhifeng Shen, et al.2026 · 4 citations
  5. Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible ConstraintsFindings of the Association for Computational LinguisticsJuntao Wu, Wei Wen, Xianting Huang, et al.2026 · 1 citation

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ruizhi-qiao/