Zhang, Xueru

22 publications

AAAI 2025 DroughtSet: Understanding Drought Through Spatial-Temporal Learning Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang

AAAI 2025 Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang

ICML 2025 Self-Consuming Generative Models with Adversarially Curated Data Xiukun Wei, Xueru Zhang

NeurIPS 2025 The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee, Yuanlong Wang, Sayoko E. Moroi, Xueru Zhang, Ping Zhang

NeurIPS 2024 Automating Data Annotation Under Strategic Human Agents: Risks and Potential Solutions Tian Xie, Xueru Zhang

TMLR 2024 Federated Learning with Reduced Information Leakage and Computation Tongxin Yin, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

TMLR 2024 Learning Under Imitative Strategic Behavior with Unforeseeable Outcomes Tian Xie, Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang

TMLR 2024 Lookahead Counterfactual Fairness Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili

UAI 2024 Non-Stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham, Xueru Zhang, Ping Zhang

AAAI 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

UAI 2024 Privacy-Aware Randomized Quantization via Linear Programming Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili

NeurIPSW 2024 Understanding Drought Through Spatial-Temporal Learning Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang

NeurIPS 2023 Counterfactually Fair Representation Zhiqun Zuo, Mahdi Khalili, Xueru Zhang

ICLR 2023 Fairness and Accuracy Under Domain Generalization Thai-Hoang Pham, Xueru Zhang, Ping Zhang

ICML 2023 Loss Balancing for Fair Supervised Learning Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan

ICLRW 2023 Performative Federated Learning Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

ICML 2022 Fairness Interventions as (Dis)Incentives for Strategic Manipulation Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu

NeurIPS 2021 Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan

AAAI 2021 Improving Fairness and Privacy in Selection Problems Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi

NeurIPS 2020 How Do Fair Decisions Fare in Long-Term Qualification? Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellstrom, Kun Zhang, Cheng Zhang

NeurIPS 2019 Group Retention When Using Machine Learning in Sequential Decision Making: The Interplay Between User Dynamics and Fairness Xueru Zhang, Mohammadmahdi Khaliligarekani, Cem Tekin, Mingyan Liu

ICML 2018 Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu