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Ziyi Ni

Ziyi Ni has 2 papers in our library, in 2026, most of them on Bias, fairness & safety; often with Bo Zhang, Hao Wang, Huacan Wang.

2 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12342

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

🎓University of Chinese Academy of SciencesBeijing · China2026 · 2 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🔬Institute of AutomationBeijing · China2026 · 1 papercurrent

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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workBusiness, Management and Accounting · 1 workLanguage and Linguistics · 1 workManagement of Technology and Innovation · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. P-QuASAR: A Unified Probabilistic Framework for Holistic Patent Quality Assessment and Refinement (2026)
    The paper addresses automated quality control of patent specifications. Filings keep growing, and AI drafting tools produce documents with more defects than human-written ones. Existing approaches use citation-style proxies, generic text metrics or binary AI detectors. None of them diagnose specific defects across…
  2. SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety Memory (2026)
    LLM jailbreak defenses tend to fall into two camps. Methods that change model weights, such as fine-tuning or trained detectors, are costly and slow to adapt. Inference-time filters are flexible, but they start from scratch on every prompt. SafetyMem is a training-free framework that lets a model accumulate defense…

 Co-authors here

5 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.

Updated

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