| 2026 | AAAI | Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering. | Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang |
| 2026 | AAAI | Addressing Polarization and Unfairness in Performative Prediction. | Kun Jin, Tian Xie, Yang Liu, Xueru Zhang |
| 2026 | AAAI | Achieving Fairness Without Harm via Selective Demographic Experts. | Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham, Ping Zhang, Xueru Zhang |
| 2026 | ACL | Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection. | Xuwei Tan, Yao Ma, Xueru Zhang |
| 2026 | ACL | Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop. | Yaxuan Wang, Zhongteng Cai, Yujia Bao, Xueru Zhang, Yang Liu |
| 2025 | AAAI | Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. | Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang |
| 2025 | AAAI | DroughtSet: Understanding Drought Through Spatial-Temporal Learning. | Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang |
| 2025 | AIES | Demographic-Agnostic Fairness Without Harm. | Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang |
| 2025 | ICML | Self-Consuming Generative Models with Adversarially Curated Data. | Xiukun Wei, Xueru Zhang |
| 2024 | AAAI | 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 |
| 2024 | AIES | Algorithmic Decision-Making under Agents with Persistent Improvement. | Tian Xie, Xuwei Tan, Xueru Zhang |
| 2024 | AIES | Non-linear Welfare-Aware Strategic Learning. | Tian Xie, Xueru Zhang |
| 2024 | UAI | Privacy-Aware Randomized Quantization via Linear Programming. | Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili |
| 2024 | UAI | Non-stationary Domain Generalization: Theory and Algorithm. | Thai-Hoang Pham, Xueru Zhang, Ping Zhang |
| 2023 | ICLR | Fairness and Accuracy under Domain Generalization. | Thai-Hoang Pham, Xueru Zhang, Ping Zhang |
| 2023 | ICML | Loss Balancing for Fair Supervised Learning. | Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan |
| 2022 | ICML | Fairness Interventions as (Dis)Incentives for Strategic Manipulation. | Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu |
| 2021 | AAAI | Improving Fairness and Privacy in Selection Problems. | Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi |
| 2021 | ICDM | Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. | Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang |
| 2019 | IGARSS | Extracting Land Surface Water from FY/MERSI Image Based On Spectral Matching Of Discrete Particle Swarm Optimization and Linear Feature Enhancement. | Xueru Zhang, Wenbo Xu, Yue Hu, Xinyi Li, Jinsheng Ren, Xixu He, Yuwei Jin |
| 2019 | IGARSS | Surface Albedo Inversion of FY-3C MERSI Data. | Chunliang Zha, Wenbo Xu, Xueru Zhang, Xinyi Li, Jinlong Fan, Yantong Wu |
| 2019 | IGARSS | Object-Oriented Automatic and Accurate Shadow Detection for Very High Spatial Resolution Satellite Images. | Yuwei Jin, Wenbo Xu, Donghang Shao, Xixu He, Xueru Zhang |
| 2019 | IGARSS | Retrieval of Fraction of Absorbed Photosynthetically Active Radiation (FPAR) Based on FengYun-3C /MERSI Data. | Xinyi Li, Wenbo Xu, Yue Hu, Xueru Zhang, Chunliang Zhao, Jinlong Fan |
| 2019 | PSIVT | GAN-Based Method for Synthesizing Multi-focus Cell Images. | Ken'ichi Morooka, Xueru Zhang, Shoko Miyauchi, Ryo Kurazume, Eiji Ohno |
| 2018 | ICML | Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. | Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu |
| 2012 | ICASSP | Latent variable speaker adaptation of Gaussian mixture weights and means. | Xueru Zhang, Kris Demuynck, Hugo Van hamme |
| 2011 | ICASSP | Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization. | Xueru Zhang, Kris Demuynck, Hugo Van hamme |
| 2010 | ICASSP | Histogram equalization and noise masking for robust speech recognition. | Xueru Zhang, Kris Demuynck, Hugo Van hamme |
| 2010 | Interspeech | Feature versus model based noise robustness. | Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, Hugo Van hamme |
| 2009 | ESANN | Bayesian periodogram smoothing for speech enhancement. | Xueru Zhang, Alexander Ypma, Bert de Vries |