Xueru Zhang
21 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(24)
π
Keyword Champion
(2)
π¬
Deep Specialist
(10)
π
Triple Crown
π
Grand Slam
π
Century Club
(16)
π
Trend Setter
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(71)
β
The Questioner
Conferences
AAAI (7)
NIPS (5)
ICML (4)
ACL (2)
UAI (2)
ICLR (1)
Top co-authors
Keywords
algorithmic fairness
(6)
representation learning
(3)
bias mitigation
(3)
performative prediction
(2)
equal opportunity
(2)
distribution shift
(2)
equilibrium analysis
(2)
differential privacy
(2)
fairness constraint
(2)
supervised learning
(2)
synthetic datum
(2)
distributed optimization
(1)
transfer learning
(1)
strategic manipulation
(1)
deep learning
(1)
privacy preservation
(1)
non-convex optimization
(1)
causal inference
(1)
machine learning
(1)
in-context learning
(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