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Xueru Zhang

21 papers · 2018–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (10)
🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (24) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (16) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (71) ❓ The Questioner

Conferences

AAAI (7) NIPS (5) ICML (4) ACL (2) UAI (2) ICLR (1)

Papers

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection ACL 2026 Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop ACL 2026 Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering AAAI 2026 Addressing Polarization and Unfairness in Performative Prediction AAAI 2026 Achieving Fairness Without Harm via Selective Demographic Experts AAAI 2026 DroughtSet: Understanding Drought Through Spatial-Temporal Learning AAAI 2025 Self-Consuming Generative Models with Adversarially Curated Data ICML 2025 Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm AAAI 2025 Privacy-Aware Randomized Quantization via Linear Programming UAI 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024 Non-stationary Domain Generalization: Theory and Algorithm UAI 2024 Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions NIPS 2024 Loss Balancing for Fair Supervised Learning ICML 2023 Fairness and Accuracy under Domain Generalization ICLR 2023 Counterfactually Fair Representation NIPS 2023 Fairness Interventions as (Dis)Incentives for Strategic Manipulation ICML 2022 Fair Sequential Selection Using Supervised Learning Models NIPS 2021 Improving Fairness and Privacy in Selection Problems AAAI 2021 How do fair decisions fare in long-term qualification? NIPS 2020 Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NIPS 2019 Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms ICML 2018