Xu, Jinhui

58 publications

TMLR 2025 Beyond Ordinary Lipschitz Constraints: Differentially Private Optimization with TNC Difei Xu, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang

ICLRW 2025 Beyond Ordinary Lipschitz Constraints: Differentially Private Optimization with TNC Difei Xu, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang

AAAI 2025 Fully-Scalable Massively Parallel Algorithm for K-Center with Outliers Di Wu, Qilong Feng, Junyu Huang, Jinhui Xu, Ziyun Huang, Jianxin Wang

NeurIPS 2025 Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation Kai Zheng, Jianxin Wang, Jinhui Xu

AAAI 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization Ruijia Zhang, Mingxi Lei, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang

UAI 2025 Nearly Optimal Differentially Private ReLU Regression Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu

ICLR 2025 New Algorithms for the Learning-Augmented K-Means Problem Junyu Huang, Qilong Feng, Ziyun Huang, Zhen Zhang, Jinhui Xu, Jianxin Wang

ICLR 2025 TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu

TMLR 2025 Understanding Fine-Tuning in Approximate Unlearning: A Theoretical Perspective Meng Ding, Rohan Sharma, Changyou Chen, Jinhui Xu, Kaiyi Ji

ICLRW 2025 Understanding Private Learning from Feature Perspective Meng Ding, Mingxi Lei, Shaopeng Fu, Di Wang, Jinhui Xu

ICLR 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang

NeurIPS 2024 Linear Time Approximation Algorithm for Column Subset Selection with Local Search Yuanbin Zou, Ziyun Huang, Jinhui Xu, Jianxin Wang, Qilong Feng

ICML 2024 Near-Linear Time Approximation Algorithms for K-Means with Outliers Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

TMLR 2024 Persistent Local Homology in Graph Learning Minghua Wang, Yan Hu, Ziyun Huang, Di Wang, Jinhui Xu

NeurIPS 2024 Revisiting Differentially Private ReLU Regression Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu

AAAI 2024 SEC: More Accurate Clustering Algorithm via Structural Entropy Junyu Huang, Qilong Feng, Jiahui Wang, Ziyun Huang, Jinhui Xu, Jianxin Wang

NeurIPS 2024 Truthful High Dimensional Sparse Linear Regression Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang

ICML 2024 Understanding Forgetting in Continual Learning with Linear Regression Meng Ding, Kaiyi Ji, Di Wang, Jinhui Xu

ICML 2023 Fast Algorithms for Distributed K-Clustering with Outliers Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

JMLR 2023 Generalized Linear Models in Non-Interactive Local Differential Privacy with Public Data Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu

NeurIPS 2023 Linear Time Algorithms for K-Means with Multi-Swap Local Search Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

ICLR 2023 Progressive Voronoi Diagram Subdivision Enables Accurate Data-Free Class-Incremental Learning Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

CVPR 2023 Shifted Diffusion for Text-to-Image Generation Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu

IJCAI 2022 FLS: A New Local Search Algorithm for K-Means with Smaller Search Space Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang

ICLR 2022 Few-Shot Learning via Dirichlet Tessellation Ensemble Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

ACML 2022 On PAC Learning Halfspaces in Non-Interactive Local Privacy Model with Public Unlabeled Data Jinyan Su, Jinhui Xu, Di Wang

AAAI 2022 TiGAN: Text-Based Interactive Image Generation and Manipulation Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun

CVPR 2022 Towards Language-Free Training for Text-to-Image Generation Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun

ALT 2021 Estimating Smooth GLM in Non-Interactive Local Differential Privacy Model with Public Unlabeled Data Di Wang, Huangyu Zhang, Marco Gaboardi, Jinhui Xu

UAI 2021 Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu

ICLR 2021 Meta-Learning with Neural Tangent Kernels Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu

JMLR 2020 Empirical Risk Minimization in the Non-Interactive Local Model of Differential Privacy Di Wang, Marco Gaboardi, Adam Smith, Jinhui Xu

ECML-PKDD 2020 Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method Di Wang, Jinhui Xu

AAAI 2020 Estimating Stochastic Linear Combination of Non-Linear Regressions Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu

NeurIPS 2020 Learning Manifold Implicitly via Explicit Heat-Kernel Learning Yufan Zhou, Changyou Chen, Jinhui Xu

ICML 2020 On Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data Di Wang, Hanshen Xiao, Srinivas Devadas, Jinhui Xu

AAAI 2020 Pairwise Learning with Differential Privacy Guarantees Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

MLJ 2020 Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding Di Wang, Xiangyu Guo, Shi Li, Jinhui Xu

ICML 2019 Differentially Private Empirical Risk Minimization with Non-Convex Loss Functions Di Wang, Changyou Chen, Jinhui Xu

AAAI 2019 Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View Di Wang, Jinhui Xu

IJCAI 2019 Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation Di Wang, Jinhui Xu

ALT 2019 Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations Di Wang, Adam Smith, Jinhui Xu

ICML 2019 On Sparse Linear Regression in the Local Differential Privacy Model Di Wang, Jinhui Xu

IJCAI 2019 Principal Component Analysis in the Local Differential Privacy Model Di Wang, Jinhui Xu

IJCAI 2019 Privacy-Aware Synthesizing for Crowdsourced Data Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

NeurIPS 2018 Empirical Risk Minimization in Non-Interactive Local Differential Privacy Revisited Di Wang, Marco Gaboardi, Jinhui Xu

AAAI 2018 Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning Di Wang, Jinhui Xu

NeurIPS 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General Di Wang, Minwei Ye, Jinhui Xu

AAAI 2017 Novel Geometric Approach for Global Alignment of PPI Networks Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu

AAAI 2015 Clustering-Based Collaborative Filtering for Link Prediction Xiangyu Wang, Dayu He, Danyang Chen, Jinhui Xu

AAAI 2015 Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers Hu Ding, Jinhui Xu

AAAI 2014 Finding Median Point-Set Using Earth Mover's Distance Hu Ding, Jinhui Xu

CVPR 2013 Gauging Association Patterns of Chromosome Territories via Chromatic Median Hu Ding, Branislav Stojkovic, Ronald Berezney, Jinhui Xu

NeurIPS 2013 K-Prototype Learning for 3D Rigid Structures Hu Ding, Ronald Berezney, Jinhui Xu

MLJ 2010 Ensemble Clustering Using Semidefinite Programming with Applications Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

NeurIPS 2007 Ensemble Clustering Using Semidefinite Programming Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

ICCV 2007 Generalized Median Graphs: Theory and Applications Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney

ICCV 2007 Limited View CT Reconstruction via Constrained Metric Labeling Vikas Singh, Petru M. Dinu, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann