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Fangwei Zhong

Fangwei Zhong has 3 papers in our library, in 2026, most of them on Bias, fairness & safety; often with Demetri Terzopoulos, Ying Nian Wu, Yipeng Kang.

3 papers in our library · 2026

OpenAlex · h-index 2 · 16 works · 13 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #13310

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

🎓Beijing Normal UniversityBeijing · China2026 · 7 paperscurrent🏛️Beijing Institute for General Artificial IntelligenceBeijing · China2024–2026 · 3 paperscurrent🏛️Ministry of Education of the People's Republic of ChinaBeijing · China2026 · 2 paperscurrent

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 12The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksCognitive Neuroscience · 1 workControl and Systems Engineering · 1 workEngineering · 1 workNeuroscience · 1 workPsychology · 1 workSocial Psychology · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work

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

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent Interaction (2026)
    Household assistants serve the same people again and again, and users do not want to spell out exact instructions every time.
  2. Simple Role Assignment is Extraordinarily Effective for Safety Alignment (2026)
    The paper addresses a weakness of principle-based safety alignment for LLMs: fixed rule lists can never cover every situation and give little guidance on how a value applies in a specific context.
  3. Why Are We Moral? An LLM-based Agent Simulation Approach to the Study of Moral Evolution (2026)
    The paper asks why moral behaviour could evolve when natural selection seems to reward self-interest. Classical tools such as evolutionary game theory reduce agents to fixed strategies or payoff tables. As a result, they cannot show how cognition (memory, reasoning, recognising others' dispositions, communicating)…

 Co-authors here

8 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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