Bayesian periodogram smoothing for speech enhancement. - Xueru Zhang; Alexander Ypma; Bert de Vries (ESANN, 2009)

Histogram equalization and noise masking for robust speech recognition. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (ICASSP, 2010)

Feature versus model based noise robustness. - Kris Demuynck; Xueru Zhang; Dirk Van Compernolle; Hugo Van hamme (INTERSPEECH, 2010)

Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (ICASSP, 2011)

Latent variable speaker adaptation of Gaussian mixture weights and means. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (ICASSP, 2012)

Subspace-GMM acoustic models for under-resourced languages: feasibility study. - Xueru Zhang; Kris Demuynck; Dirk Van Compernolle; Hugo Van hamme (SLTU, 2012)

Aptamer base: a collaborative knowledge base to describe aptamers and SELEX experiments. - Jose Cruz-Toledo; Maureen McKeague; Xueru Zhang; Amanda Giamberardino; Erin McConnell; Tariq Francis; Maria C. DeRosa; Michel Dumontier (Database J. Biol. Databases Curation, 2012)

Rapid speaker adaptation in latent speaker space with non-negative matrix factorization. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (Speech Commun., 2013)

Smart Materials Based on DNA Aptamers: Taking Aptasensing to the Next Level. - Emily Mastronardi; Amanda Foster; Xueru Zhang; Maria C. DeRosa (Sensors, 2014)

Ecological Land Cold Island Effect Evaluation Based on Land Surface Temperature Retrieval. - Xueru Zhang; Xiao Jiang; Yue Qin (Agro-Geoinformatics, 2018)

Research of Land Use Ground Temperature Effect in the Main Districts of Chongqing. - Xueru Zhang; Qianyuan Liu; Yue Qin (Agro-Geoinformatics, 2018)

Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. - Xueru Zhang; Mohammad Mahdi Khalili; Mingyan Liu (Allerton, 2018)

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

Generalized good lattice point sets. - Zong-Feng Qi; Xueru Zhang; Yong-Dao Zhou (Comput. Stat., 2018)

Effective Premium Discrimination for Designing Cyber Insurance Policies with Rare Losses. - Mohammad Mahdi Khalili; Xueru Zhang; Mingyan Liu (GameSec, 2019)

Object-Oriented Automatic and Accurate Shadow Detection for Very High Spatial Resolution Satellite Images. - Yuwei Jin; Wenbo Xu 004; Donghang Shao; Xixu He; Xueru Zhang (IGARSS, 2019)

Retrieval of Fraction of Absorbed Photosynthetically Active Radiation (FPAR) Based on FengYun-3C /MERSI Data. - Xinyi Li; Wenbo Xu 004; Yue Hu; Xueru Zhang; Chunliang Zhao; Jinlong Fan (IGARSS, 2019)

Surface Albedo Inversion of FY-3C MERSI Data. - Chunliang Zha; Wenbo Xu 004; Xueru Zhang; Xinyi Li; Jinlong Fan; Yantong Wu (IGARSS, 2019)

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 004; Yue Hu; Xinyi Li; Jinsheng Ren; Xixu He; Yuwei Jin (IGARSS, 2019)

Contract design for purchasing private data using a biased differentially private algorithm. - Mohammad Mahdi Khalili; Xueru Zhang; Mingyan Liu (NetEcon@SIGMETRICS, 2019)

Incentivizing effort in interdependent security games using resource pooling. - Mohammad Mahdi Khalili; Xueru Zhang; Mingyan Liu (NetEcon@SIGMETRICS, 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 (NeurIPS, 2019)

GAN-Based Method for Synthesizing Multi-focus Cell Images. - Ken'ichi Morooka; Xueru Zhang; Shoko Miyauchi; Ryo Kurazume; Eiji Ohno (PSIVT Workshops, 2019)

Predictive Cruise Control with Private Vehicle-to-Vehicle Communication for Improving Fuel Consumption and Emissions. - Xueru Zhang; Chunan Huang; Mingyan Liu; Anna G. Stefanopoulou; Tulga Ersal (IEEE Commun. Mag., 2019)

Long term impact of fair machine learning in sequential decision making: representation disparity and group retention. - Xueru Zhang; Mohammad Mahdi Khalili; Cem Tekin; Mingyan Liu (CoRR, 2019)

A Robust Energy and Emissions Conscious Cruise Controller for Connected Vehicles with Privacy Considerations. - Chunan Huang; Xueru Zhang; Rasoul Salehi; Tulga Ersal; Anna G. Stefanopoulou (ACC, 2020)

How do fair decisions fare in long-term qualification? - Xueru Zhang; Ruibo Tu; Yang Liu 018; Mingyan Liu; Hedvig Kjellström; Kun Zhang 001; Cheng Zhang 005 (NeurIPS, 2020)

Fairness in Learning-Based Sequential Decision Algorithms: A Survey. - Xueru Zhang; Mingyan Liu (CoRR, 2020)

Survey on the Internet of Vehicles: Network Architectures and Applications. - Baofeng Ji; Xueru Zhang; Shahid Mumtaz; Congzheng Han; Chunguo Li; Hong Wen 001; Dan Wang (IEEE Commun. Stand. Mag., 2020)

Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. - Xueru Zhang; Mohammad Mahdi Khalili; Mingyan Liu (IEEE Trans. Inf. Forensics Secur., 2020)

Improving Fairness and Privacy in Selection Problems. - Mohammad Mahdi Khalili; Xueru Zhang; Mahed Abroshan; Somayeh Sojoudi (AAAI, 2021)

Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. - Thai-Hoang Pham; Changchang Yin; Laxmi Mehta; Xueru Zhang; Ping Zhang 016 (ICDM, 2021)

Fair Sequential Selection Using Supervised Learning Models. - Mohammad Mahdi Khalili; Xueru Zhang; Mahed Abroshan (NeurIPS, 2021)

Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm. - Mohammad Mahdi Khalili; Xueru Zhang; Mingyan Liu (IEEE Access, 2021)

Resource Pooling for Shared Fate: Incentivizing Effort in Interdependent Security Games Through Cross-Investments. - Mohammad Mahdi Khalili; Xueru Zhang; Mingyan Liu (IEEE Trans. Control. Netw. Syst., 2021)

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

Incentive Mechanisms for Strategic Classification and Regression Problems. - Kun Jin; Xueru Zhang; Mohammad Mahdi Khalili; Parinaz Naghizadeh; Mingyan Liu (EC, 2022)

Fairness and Accuracy under Domain Generalization. - Thai-Hoang Pham; Xueru Zhang; Ping Zhang 016 (ICLR, 2023)

Loss Balancing for Fair Supervised Learning. - Mohammad Mahdi Khalili; Xueru Zhang; Mahed Abroshan (ICML, 2023)

Counterfactually Fair Representation. - Zhiqun Zuo; Mahdi Khalili; Xueru Zhang (NeurIPS, 2023)

Federated Learning with Reduced Information Leakage and Computation. - Tongxin Yin; Xueru Zhang; Mohammad Mahdi Khalili; Mingyan Liu (CoRR, 2023)

Differentially Private Real-Time Release of Sequential Data. - Xueru Zhang; Mohammad Mahdi Khalili; Mingyan Liu (ACM Trans. Priv. Secur., 2023)

A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. - Thai-Hoang Pham; Changchang Yin; Laxmi Mehta; Xueru Zhang; Ping Zhang 016 (Knowl. Inf. Syst., 2023)

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. - Kun Jin; Tongxin Yin; Zhongzhu Chen; Zeyu Sun; Xueru Zhang; Yang Liu 018; Mingyan Liu (AAAI, 2024)

Algorithmic Decision-Making under Agents with Persistent Improvement. - Tian Xie; Xuwei Tan; Xueru Zhang (AIES (1), 2024)

Non-linear Welfare-Aware Strategic Learning. - Tian Xie; Xueru Zhang (AIES (1), 2024)

Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions. - Tian Xie; Xueru Zhang (NeurIPS, 2024)

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

Non-stationary Domain Generalization: Theory and Algorithm. - Thai-Hoang Pham; Xueru Zhang; Ping Zhang 016 (UAI, 2024)

Addressing Polarization and Unfairness in Performative Prediction. - Kun Jin; Tian Xie; Yang Liu 018; Xueru Zhang (CoRR, 2024)

ProFL: Performative Robust Optimal Federated Learning. - Xue Zheng; Tian Xie; Xuwei Tan; Aylin Yener; Xueru Zhang; Ali Payani; Myungjin Lee (CoRR, 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

Learning under Imitative Strategic Behavior with Unforeseeable Outcomes. - Tian Xie; Zhiqun Zuo; Mohammad Mahdi Khalili; Xueru Zhang (Trans. Mach. Learn. Res., 2024)

Federated Learning with Reduced Information Leakage and Computation. - Tongxin Yin; Xuwei Tan; Xueru Zhang; Mohammad Mahdi Khalili; Mingyan Liu (Trans. Mach. Learn. Res., 2024)

Lookahead Counterfactual Fairness. - Zhiqun Zuo; Tian Xie; Xuwei Tan; Xueru Zhang; Mohammad Mahdi Khalili (Trans. Mach. Learn. Res., 2024)

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. - Thai-Hoang Pham; Yuanlong Wang; Changchang Yin; Xueru Zhang; Ping Zhang 016 (AAAI, 2025)

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

Digital twin optimization: A sequential approach. - Xueru Zhang; Dennis K. J. Lin; Lin Wang (Comput. Ind. Eng., 2025)

Analysis of order-of-addition experiments. - Xueru Zhang; Dennis K. J. Lin; Min-Qian Liu; Jianbin Chen (Comput. Stat. Data Anal., 2025)

How Strategic Agents Respond: Comparing Analytical Models with LLM-Generated Responses in Strategic Classification. - Tian Xie; Pavan Rauch; Xueru Zhang (CoRR, 2025)

BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models. - Tian Xie; Tongxin Yin; Vaishakh Keshava; Xueru Zhang; Siddhartha Reddy Jonnalagadda (CoRR, 2025)

Self-Consuming Generative Models with Adversarially Curated Data. - Xiukun Wei; Xueru Zhang (CoRR, 2025)