🧑‍🔬 Ziwei Zhu

🏛️ Affiliations

🎓George Mason UniversityFairfax · United States2022–2026 · 31 papersEmployment since 2022 · Assistant Professor, Computer Sciencecurrent🎓Guangzhou Sport UniversityGuangzhou · China2024–2026 · 5 paperscurrent🎓Huazhong University of Science and TechnologyWuhan · China2024–2026 · 4 paperscurrent🎓Cornell UniversityIthaca · United States2024–2026 · 2 paperscurrent🎓Texas A&M UniversityCollege Station · United States2016–2023 · 22 papersEducation 2016–2022 · PhD, Computer Science and Engineering🎓Xi'an Jiaotong UniversityXi'an · China2018–2020 · 5 papers🎓Nanchang UniversityNanchang · China2021–2025 · 4 papers🎓Central South UniversityChangsha · China2018–2019 · 3 papers🎓Xi’an Jiaotong-Liverpool UniversitySuzhou · China2023 · 2 papers🔬State Key Laboratory of Electrical Insulation and Power EquipmentXi'an2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM Generations (2026 · 1 citation)
   The paper examines a gap in LLM bias research: culturally specific, intersectional stereotypes in South Asia that are tied to purdah and patriarchy.
2. Talent or Luck? Evaluating Attribution Bias in Large Language Models (2026)
   Most social-bias benchmarks for LLMs test surface associations, such as linking an identity to an occupation or trait.

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. Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYun He et al.2020 · 128 citations
2. Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetZiwei Zhu, Jianling Wang, James Caverlee2020 · 104 citations
3. Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetZiwei Zhu et al.2020 · 89 citations
4. Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM GenerationsWorkshop on Trustworthy NLPMamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, et al.2026 · 1 citation
5. Talent or Luck? Evaluating Attribution Bias in Large Language ModelsFindings of the Association for Computational LinguisticsChahat Raj, Mahika Banerjee, Jinhao Pan, et al.2026

🤝 Co-authors here

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

• Chahat Raj ×2
• Antonios Anastasopoulos

Venues

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

• International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Workshop on Trustworthy NLP: Workshop on Trustworthy NLP 2026
• Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

🔗 Cited by

Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026

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