Xueru Zhang - RankMe

100 papers A* 19A 3B 1C 5Misc 3Journal 58Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Achieving Fairness Without Harm via Selective Demographic Experts. AAAI Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham, Ping Zhang, Xueru Zhang
2026	A*	`conf`	Addressing Polarization and Unfairness in Performative Prediction. AAAI Kun Jin, Tian Xie, Yang Liu, Xueru Zhang
2026	J	`jnl`	An ECC-Based Three-Factor Authentication and Key Management Protocol for Session Key Leakage Resilience in Internet of Drones. IEEE Internet Things J. Xueru Zhang, Di Wu, Rui Zhang
2026	J	`jnl`	Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs. CoRR Xuwei Tan, Ziyu Hu, Xueru Zhang
2026	J	`jnl`	DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs. CoRR Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu
2026	J	`jnl`	Design and Analysis for Digital Twin Optimization. Qual. Reliab. Eng. Int. Xueru Zhang, Dennis K. J. Lin, Peiyao Liu
2026	J	`jnl`	Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry. CoRR Xiukun Wei, Min Shi, Xueru Zhang
2026	J	`jnl`	Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop. CoRR Yaxuan Wang, Zhongteng Cai, Yujia Bao, Xueru Zhang, Yang Liu
2026	A*	`conf`	Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering. AAAI Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang
2025	J	`jnl`	Achieving Fairness Without Harm via Selective Demographic Experts. CoRR Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham, Ping Zhang, Xueru Zhang
2025	J	`jnl`	Analysis of order-of-addition experiments. Comput. Stat. Data Anal. Xueru Zhang, Dennis K. J. Lin, Min-Qian Liu, Jianbin Chen
2025	J	`jnl`	BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models. CoRR Tian Xie, Tongxin Yin, Vaishakh Keshava, Xueru Zhang, Siddhartha Reddy Jonnalagadda
2025	—	`conf`	DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs. IISWC Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu
2025	J	`jnl`	Demographic-Agnostic Fairness without Harm. CoRR Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang
2025	J	`jnl`	Digital twin optimization: A sequential approach. Comput. Ind. Eng. Xueru Zhang, Dennis K. J. Lin, Lin Wang
2025	A*	`conf`	DroughtSet: Understanding Drought Through Spatial-Temporal Learning. AAAI Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang
2025	J	`jnl`	Federated Learning Under Evolving Distribution Shifts. Entropy Xuwei Tan, Tian Xie, Xue Zheng, Aylin Yener, Myungjin Lee, Ali Payani, Hugo Latapie, Xueru Zhang
2025	J	`jnl`	How Strategic Agents Respond: Comparing Analytical Models with LLM-Generated Responses in Strategic Classification. CoRR Tian Xie, Pavan Rauch, Xueru Zhang
2025	A*	`conf`	Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. AAAI Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang
2025	J	`jnl`	SPRINT: Stochastic Performative Prediction With Variance Reduction. CoRR Tian Xie, Ding Zhu, Jia Liu, Mahdi Khalili, Xueru Zhang
2025	A*	`conf`	Self-Consuming Generative Models with Adversarially Curated Data. ICML Xiukun Wei, Xueru Zhang
2025	J	`jnl`	Self-Consuming Generative Models with Adversarially Curated Data. CoRR Xiukun Wei, Xueru Zhang
2025	J	`jnl`	Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering. CoRR Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang
2025	J	`jnl`	The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective. CoRR Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee, Yuanlong Wang, Sayoko Moroi, Xueru Zhang, Ping Zhang
2025	J	`jnl`	Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection. CoRR Xuwei Tan, Yao Ma, Xueru Zhang
2024	J	`jnl`	Addressing Polarization and Unfairness in Performative Prediction. CoRR Kun Jin, Tian Xie, Yang Liu, Xueru Zhang
2024	—	`conf`	Algorithmic Decision-Making under Agents with Persistent Improvement. AIES (1) Tian Xie, Xuwei Tan, Xueru Zhang
2024	J	`jnl`	Algorithmic Decision-Making under Agents with Persistent Improvement. CoRR Tian Xie, Xuwei Tan, Xueru Zhang
2024	A*	`conf`	Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions. NeurIPS Tian Xie, Xueru Zhang
2024	J	`jnl`	Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions. CoRR Tian Xie, Xueru Zhang
2024	J	`jnl`	DroughtSet: Understanding Drought Through Spatial-Temporal Learning. CoRR Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang
2024	J	`jnl`	Federated Learning with Reduced Information Leakage and Computation. Trans. Mach. Learn. Res. Tongxin Yin, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2024	J	`jnl`	Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 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, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero
2024	J	`jnl`	Learning under Imitative Strategic Behavior with Unforeseeable Outcomes. CoRR Tian Xie, Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang
2024	J	`jnl`	Learning under Imitative Strategic Behavior with Unforeseeable Outcomes. Trans. Mach. Learn. Res. Tian Xie, Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang
2024	J	`jnl`	Lookahead Counterfactual Fairness. CoRR Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili
2024	J	`jnl`	Lookahead Counterfactual Fairness. Trans. Mach. Learn. Res. Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili
2024	—	`conf`	Non-linear Welfare-Aware Strategic Learning. AIES (1) Tian Xie, Xueru Zhang
2024	J	`jnl`	Non-linear Welfare-Aware Strategic Learning. CoRR Tian Xie, Xueru Zhang
2024	A	`conf`	Non-stationary Domain Generalization: Theory and Algorithm. UAI Thai-Hoang Pham, Xueru Zhang, Ping Zhang
2024	J	`jnl`	Non-stationary Domain Generalization: Theory and Algorithm. CoRR Thai-Hoang Pham, Xueru Zhang, Ping Zhang
2024	J	`jnl`	Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. CoRR Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang
2024	A*	`conf`	Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. AAAI Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
2024	A	`conf`	Privacy-Aware Randomized Quantization via Linear Programming. UAI Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili
2024	J	`jnl`	Privacy-Aware Randomized Quantization via Linear Programming. CoRR Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili
2024	J	`jnl`	ProFL: Performative Robust Optimal Federated Learning. CoRR Xue Zheng, Tian Xie, Xuwei Tan, Aylin Yener, Xueru Zhang, Ali Payani, Myungjin Lee
2023	J	`jnl`	A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. Knowl. Inf. Syst. Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
2023	A*	`conf`	Counterfactually Fair Representation. NeurIPS Zhiqun Zuo, Mahdi Khalili, Xueru Zhang
2023	J	`jnl`	Counterfactually Fair Representation. CoRR Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang
2023	J	`jnl`	Differentially Private Real-Time Release of Sequential Data. ACM Trans. Priv. Secur. Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2023	A*	`conf`	Fairness and Accuracy under Domain Generalization. ICLR Thai-Hoang Pham, Xueru Zhang, Ping Zhang
2023	J	`jnl`	Fairness and Accuracy under Domain Generalization. CoRR Thai-Hoang Pham, Xueru Zhang, Ping Zhang
2023	J	`jnl`	Federated Learning with Reduced Information Leakage and Computation. CoRR Tongxin Yin, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2023	A*	`conf`	Loss Balancing for Fair Supervised Learning. ICML Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
2023	J	`jnl`	Loss Balancing for Fair Supervised Learning. CoRR Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
2023	J	`jnl`	Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. CoRR Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
2022	A*	`conf`	Fairness Interventions as (Dis)Incentives for Strategic Manipulation. ICML Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu
2022	A*	`conf`	Incentive Mechanisms for Strategic Classification and Regression Problems. EC Kun Jin, Xueru Zhang, Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
2021	A*	`conf`	Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. ICDM Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
2021	J	`jnl`	Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. CoRR Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
2021	J	`jnl`	Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm. IEEE Access Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
2021	A*	`conf`	Fair Sequential Selection Using Supervised Learning Models. NeurIPS Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
2021	J	`jnl`	Fair Sequential Selection Using Supervised Learning Models. CoRR Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
2021	A*	`conf`	Improving Fairness and Privacy in Selection Problems. AAAI Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
2021	J	`jnl`	Resource Pooling for Shared Fate: Incentivizing Effort in Interdependent Security Games Through Cross-Investments. IEEE Trans. Control. Netw. Syst. Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
2020	C	`conf`	A Robust Energy and Emissions Conscious Cruise Controller for Connected Vehicles with Privacy Considerations. ACC Chunan Huang, Xueru Zhang, Rasoul Salehi, Tulga Ersal, Anna G. Stefanopoulou
2020	J	`jnl`	Fairness in Learning-Based Sequential Decision Algorithms: A Survey. CoRR Xueru Zhang, Mingyan Liu
2020	J	`jnl`	How Do Fair Decisions Fare in Long-term Qualification? CoRR Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang
2020	A*	`conf`	How do fair decisions fare in long-term qualification? NeurIPS Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang
2020	J	`jnl`	Improving Fairness and Privacy in Selection Problems. CoRR Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
2020	J	`jnl`	Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. IEEE Trans. Inf. Forensics Secur. Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2020	J	`jnl`	Survey on the Internet of Vehicles: Network Architectures and Applications. IEEE Commun. Stand. Mag. Baofeng Ji, Xueru Zhang, Shahid Mumtaz, Congzheng Han, Chunguo Li, Hong Wen, Dan Wang
2019	—	`conf`	Contract design for purchasing private data using a biased differentially private algorithm. NetEcon@SIGMETRICS Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
2019	—	`conf`	Effective Premium Discrimination for Designing Cyber Insurance Policies with Rare Losses. GameSec Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
2019	C	`conf`	Extracting Land Surface Water from FY/MERSI Image Based On Spectral Matching Of Discrete Particle Swarm Optimization and Linear Feature Enhancement. IGARSS Xueru Zhang, Wenbo Xu, Yue Hu, Xinyi Li, Jinsheng Ren, Xixu He, Yuwei Jin
2019	—	`conf`	GAN-Based Method for Synthesizing Multi-focus Cell Images. PSIVT Workshops Ken'ichi Morooka, Xueru Zhang, Shoko Miyauchi, Ryo Kurazume, Eiji Ohno
2019	A*	`conf`	Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness. NeurIPS Xueru Zhang, Mohammadmahdi Khaliligarekani, Cem Tekin, Mingyan Liu
2019	—	`conf`	Incentivizing effort in interdependent security games using resource pooling. NetEcon@SIGMETRICS Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
2019	J	`jnl`	Long term impact of fair machine learning in sequential decision making: representation disparity and group retention. CoRR Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu
2019	C	`conf`	Object-Oriented Automatic and Accurate Shadow Detection for Very High Spatial Resolution Satellite Images. IGARSS Yuwei Jin, Wenbo Xu, Donghang Shao, Xixu He, Xueru Zhang
2019	J	`jnl`	Predictive Cruise Control with Private Vehicle-to-Vehicle Communication for Improving Fuel Consumption and Emissions. IEEE Commun. Mag. Xueru Zhang, Chunan Huang, Mingyan Liu, Anna G. Stefanopoulou, Tulga Ersal
2019	J	`jnl`	Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. CoRR Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2019	C	`conf`	Retrieval of Fraction of Absorbed Photosynthetically Active Radiation (FPAR) Based on FengYun-3C /MERSI Data. IGARSS Xinyi Li, Wenbo Xu, Yue Hu, Xueru Zhang, Chunliang Zhao, Jinlong Fan
2019	C	`conf`	Surface Albedo Inversion of FY-3C MERSI Data. IGARSS Chunliang Zha, Wenbo Xu, Xueru Zhang, Xinyi Li, Jinlong Fan, YanTong Wu
2018	—	`conf`	Ecological Land Cold Island Effect Evaluation Based on Land Surface Temperature Retrieval. Agro-Geoinformatics Xueru Zhang, Xiao Jiang, Yue Qin
2018	J	`jnl`	Generalized good lattice point sets. Comput. Stat. Zong-Feng Qi, Xueru Zhang, Yong-Dao Zhou
2018	A*	`conf`	Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. ICML Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2018	J	`jnl`	Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. CoRR Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2018	—	`conf`	Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. Allerton Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2018	J	`jnl`	Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. CoRR Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
2018	—	`conf`	Research of Land Use Ground Temperature Effect in the Main Districts of Chongqing. Agro-Geoinformatics Xueru Zhang, Qianyuan Liu, Yue Qin
2014	J	`jnl`	Smart Materials Based on DNA Aptamers: Taking Aptasensing to the Next Level. Sensors Emily Mastronardi, Amanda Foster, Xueru Zhang, Maria C. DeRosa
2013	J	`jnl`	Rapid speaker adaptation in latent speaker space with non-negative matrix factorization. Speech Commun. Xueru Zhang, Kris Demuynck, Hugo Van hamme
2012	J	`jnl`	Aptamer base: a collaborative knowledge base to describe aptamers and SELEX experiments. Database J. Biol. Databases Curation Jose Cruz-Toledo, Maureen McKeague, Xueru Zhang, Amanda Giamberardino, Erin McConnell, Tariq Francis, Maria C. DeRosa, Michel Dumontier
2012	Misc	`conf`	Latent variable speaker adaptation of Gaussian mixture weights and means. ICASSP Xueru Zhang, Kris Demuynck, Hugo Van hamme
2012	—	`conf`	Subspace-GMM acoustic models for under-resourced languages: feasibility study. SLTU Xueru Zhang, Kris Demuynck, Dirk Van Compernolle, Hugo Van hamme
2011	Misc	`conf`	Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization. ICASSP Xueru Zhang, Kris Demuynck, Hugo Van hamme
2010	A	`conf`	Feature versus model based noise robustness. INTERSPEECH Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, Hugo Van hamme
2010	Misc	`conf`	Histogram equalization and noise masking for robust speech recognition. ICASSP Xueru Zhang, Kris Demuynck, Hugo Van hamme
2009	B	`conf`	Bayesian periodogram smoothing for speech enhancement. ESANN Xueru Zhang, Alexander Ypma, Bert de Vries