Xueru Zhang
Social Sciences · The Ohio State University
Publications
19
Citations
62
Est. group size
—
Recurring co-author estimate
Active years
8
Publishing since 2019
Xueru Zhang's research focuses on making machine learning systems fairer and more robust when they interact with people who may change their behavior in response to algorithmic decisions (known as 'strategic' or 'performative' behavior). Recent work examines bias in large language models, fairness in vision-language models, and how to design decision-making systems that remain fair and accurate when users adapt strategically or when data collection itself is automated. This research combines algorithmic fairness, privacy, and game-theoretic modeling of human responses to AI systems.
Publication output has grown notably over the last decade, rising from just 1-2 papers per year in the late 2010s to around 4-5 per year in 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
arXiv (Cornell University) · 2026
- Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
arXiv (Cornell University) · 2026
- Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
Open MIND · 2026
- Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
arXiv (Cornell University) · 2026
- Addressing Polarization and Unfairness in Performative Prediction
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
- How Strategic Agents Respond: Comparing Analytical Models with LLM-Generated Responses in Strategic Classification
arXiv (Cornell University) · 2025
- BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models
arXiv (Cornell University) · 2025
- Demographic-Agnostic Fairness Without Harm
Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 2025
- Demographic-Agnostic Fairness without Harm
arXiv (Cornell University) · 2025
- Learning under Imitative Strategic Behavior with Unforeseeable Outcomes
arXiv (Cornell University) · 2024
- Algorithmic Decision-Making under Agents with Persistent Improvement
arXiv (Cornell University) · 2024
- Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
arXiv (Cornell University) · 2024
- Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
2024
- Counterfactually Fair Representation
2023
- Differentially Private Real-Time Release of Sequential Data
ACM Transactions on Privacy and Security · 2022
- arXiv (Cornell University)×9
- IEEE Transactions on Information Forensics and Security×1
- ACM Transactions on Privacy and Security×1
- Ergonomics in Design The Quarterly of Human Factors Applications×1
- IEEE Access×1
- Ming Yin
Social Sciences · Purdue University West Lafayette
- Taeuk Jang
Social Sciences · Purdue University West Lafayette
- Eamon Duede
Social Sciences · Purdue University West Lafayette
- João Marinotti
Social Sciences · Indiana University
- Dennis D. Hirsch
Social Sciences · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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