Jinhui Xu

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 126

Top Venues

Publications

Junyu Huang, Qilong Feng, Jiahui Wang, Ziyun Huang, Jinhui Xu, Jianxin Wang
SEC: More Accurate Clustering Algorithm via Structural Entropy. AAAI (2024)
Kai Zheng, Qilong Feng, Yaohang Li, Qichang Zhao, Jinhui Xu, Jianxin Wang
TopoLa: a novel embedding framework for understanding complex networks. CoRR (2024)
Xiaoliang Wu, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
New Algorithms for Distributed Fair k-Center Clustering: Almost Accurate as Sequential Algorithms. AAMAS (2024)
Minghua Wang, Yan Hu, Ziyun Huang, Di Wang, Jinhui Xu
Persistent Local Homology in Graph Learning. Trans. Mach. Learn. Res. 2024 (2024)
Ting Liang, Qilong Feng, Xiaoliang Wu, Jinhui Xu, Jianxin Wang
Improved Approximation Algorithm for the Distributed Lower-Bounded k-Center Problem. TAMC (2024)
Xiaoliang Wu, Qilong Feng, Jinhui Xu, Jian-xin Wang
New algorithms for fair k-center problem with outliers and capacity constraints. Theor. Comput. Sci. 997 (2024)
Meng Ding, Kaiyi Ji, Di Wang, Jinhui Xu
Understanding Forgetting in Continual Learning with Linear Regression. CoRR (2024)
Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. ICLR (2024)
Danny Z. Chen, Ziyun Huang, Yangwei Liu, Jinhui Xu
On Clustering Induced Voronoi Diagrams. CoRR (2024)
Di Wang, Jinhui Xu
Gradient complexity and non-stationary views of differentially private empirical risk minimization. Theor. Comput. Sci. 982 (2024)
Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data. J. Mach. Learn. Res. 24 (2023)
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
Linear Time Algorithms for k-means with Multi-Swap Local Search. NeurIPS (2023)
Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu
Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. ECAI (2023)
Yufan Zhou, Ruiyi Zhang, Tong Sun, Jinhui Xu
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach. CoRR (2023)
Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. CoRR (2023)
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
Fast Algorithms for Distributed k-Clustering with Outliers. ICML (2023)
Xiaoliang Wu, Qilong Feng, Jinhui Xu, Jianxin Wang
The Fair k-Center with Outliers Problem: FPT and Polynomial Approximations. IJTCS-FAW (2023)
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. ICLR (2023)
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
Shifted Diffusion for Text-to-image Generation. CVPR (2023)
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
Towards Language-Free Training for Text-to-Image Generation. CVPR (2022)
Ziyun Huang, Jinhui Xu
In-Range Farthest Point Queries and Related Problem in High Dimensions. CoRR (2022)
Danyang Chen, Xiangyu Wang, Xiu Xu, Cheng Zhong, Jinhui Xu
Sparse non-negative matrix factorization for uncertain data clustering. Intell. Data Anal. 26 (3) (2022)
Ziyun Huang, Jinhui Xu
In-Range Farthest Point Queries and Related Problem in High Dimensions. ICALP (2022)
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
Shifted Diffusion for Text-to-image Generation. CoRR (2022)
Ziyun Huang, Qilong Feng, Jianxin Wang, Jinhui Xu
Small Candidate Set for Translational Pattern Search. Algorithmica 84 (10) (2022)
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI (2022)
Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. CoRR (2022)
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. CoRR (2022)
Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
Few-shot Learning via Dirichlet Tessellation Ensemble. ICLR (2022)
Jinyan Su, Jinhui Xu, Di Wang
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data. ACML (2022)
Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu
Lafite2: Few-shot Text-to-Image Generation. CoRR (2022)
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
FLS: A New Local Search Algorithm for K-means with Smaller Search Space. IJCAI (2022)
Angsheng Li, Jianer Chen, Qilong Feng, Jinhui Xu
Preface. Math. Struct. Comput. Sci. 32 (2) (2022)
Ziyun Huang, Qilong Feng, Jianxin Wang, Jinhui Xu
PTAS for Minimum Cost Multi-covering with Disks. SODA (2021)
Di Wang, Jinhui Xu
Inferring ground truth from crowdsourced data under local attribute differential privacy. Theor. Comput. Sci. 865 (2021)
Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
Meta-Learning with Neural Tangent Kernels. ICLR (2021)
Yufan Zhou, Chunyuan Li, Changyou Chen, Jinhui Xu
A Generic Approach for Enhancing GANs by Regularized Latent Optimization. CoRR (2021)
Zhen Zhang, Qilong Feng, Junyu Huang, Yutian Guo, Jinhui Xu, Jianxin Wang
-means with outliers. Neurocomputing 450 (2021)
Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. UAI (2021)
Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization. CoRR (2021)
Yufan Zhou, Changyou Chen, Jinhui Xu
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels. CoRR (2021)
Palak Patel, Seyyed Mostafa Mousavi Janbeh Sarayi, Danyang Chen, Adam L. Hammond, Robert J. Damiano, Jason M. Davies, Jinhui Xu, Hui Meng
Fast virtual coiling algorithm for intracranial aneurysms using pre-shape path planning. Comput. Biol. Medicine 134 (2021)
Di Wang, Jinhui Xu
Differentially private high dimensional sparse covariance matrix estimation. Theor. Comput. Sci. 865 (2021)
Di Wang, Jinhui Xu
On Sparse Linear Regression in the Local Differential Privacy Model. IEEE Trans. Inf. Theory 67 (2) (2021)
Di Wang, Huangyu Zhang, Marco Gaboardi, Jinhui Xu
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. ALT (2021)
Ziyun Huang, Danny Z. Chen, Jinhui Xu
Influence-based Voronoi diagrams of clusters. Comput. Geom. 96 (2021)
Zhen Zhang, Qilong Feng, Jinhui Xu, Jianxin Wang
An approximation algorithm for k-median with priorities. Sci. China Inf. Sci. 64 (5) (2021)
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR (2021)
Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
Meta-Learning with Neural Tangent Kernels. CoRR (2021)
Di Wang, Marco Gaboardi, Adam D. Smith, Jinhui Xu
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy. CoRR (2020)
Yufan Zhou, Jiayi Xian, Changyou Chen, Jinhui Xu
Graph Neural Networks with Composite Kernels. CoRR (2020)
Di Wang, Marco Gaboardi, Adam D. Smith, Jinhui Xu
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy. J. Mach. Learn. Res. 21 (2020)
Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu
Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees. CoRR (2020)
Qilong Feng, Zhen Zhang, Ziyun Huang, Jinhui Xu, Jianxin Wang
A Unified Framework of FPT Approximation Algorithms for Clustering Problems. ISAAC (2020)
Di Wang, Jinhui Xu
Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method. ECML/PKDD (3) (2020)
Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu
Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness. CoRR (2020)
Yufan Zhou, Changyou Chen, Jinhui Xu
Learning Manifold Implicitly via Explicit Heat-Kernel Learning. CoRR (2020)
Di Wang, Hanshen Xiao, Srini Devadas, Jinhui Xu
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data. CoRR (2020)
Di Wang, Xiangyu Guo, Shi Li, Jinhui Xu
Robust high dimensional expectation maximization algorithm via trimmed hard thresholding. Mach. Learn. 109 (12) (2020)
Di Wang, Jinhui Xu
Tight lower bound of sparse covariance matrix estimation in the local differential privacy model. Theor. Comput. Sci. 815 (2020)
Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu
Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably. CoRR (2020)
Di Wang, Hanshen Xiao, Srinivas Devadas, Jinhui Xu
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data. ICML (2020)
Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu
Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. ISBI (2020)
Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu
Estimating stochastic linear combination of non-linear regressions efficiently and scalably. Neurocomputing 399 (2020)
Shi Li, Jinhui Xu, Minwei Ye
Approximating Global Optimum for Probabilistic Truth Discovery. Algorithmica 82 (10) (2020)
Hu Ding, Jinhui Xu
Learning the truth vector in high dimensions. J. Comput. Syst. Sci. 109 (2020)
Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu
Estimating Stochastic Linear Combination of Non-Linear Regressions. AAAI (2020)
Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
Pairwise Learning with Differential Privacy Guarantees. AAAI (2020)
Di Wang, Xiangyu Guo, Shi Li, Jinhui Xu
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding. CoRR (2020)
Hu Ding, Jinhui Xu
A Unified Framework for Clustering Constrained Data Without Locality Property. Algorithmica 82 (4) (2020)
Yufan Zhou, Changyou Chen, Jinhui Xu
Learning Manifold Implicitly via Explicit Heat-Kernel Learning. NeurIPS (2020)
Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu
Distributed and Robust Support Vector Machine. Int. J. Comput. Geom. Appl. 30 (3&4) (2020)
Di Wang, Jinhui Xu
Principal Component Analysis in the local differential privacy model. Theor. Comput. Sci. 809 (2020)
Ziyun Huang, Jinhui Xu
An Efficient Sum Query Algorithm for Distance-Based Locally Dominating Functions. Algorithmica 82 (9) (2020)
Di Wang, Jinhui Xu
Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation. IJCAI (2019)
Ziyun Huang, Hu Ding, Jinhui Xu
A Faster Algorithm for Truth Discovery via Range Cover. Algorithmica 81 (10) (2019)
Haiming Jin, Lu Su, Danyang Chen, Hongpeng Guo, Klara Nahrstedt, Jinhui Xu
Thanos: Incentive Mechanism with Quality Awareness for Mobile Crowd Sensing. IEEE Trans. Mob. Comput. 18 (8) (2019)
Di Wang, Jinhui Xu
Principal Component Analysis in the Local Differential Privacy Model. IJCAI (2019)
Di Wang, Jinhui Xu
Faster constrained linear regression via two-step preconditioning. Neurocomputing 364 (2019)
Di Wang, Jinhui Xu, Yang He
Estimating Sparse Covariance Matrix Under Differential Privacy via Thresholding. CISS (2019)
Yufan Zhou, Changyou Chen, Jinhui Xu
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling. CoRR (2019)
Di Wang, Changyou Chen, Jinhui Xu
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions. ICML (2019)
Di Wang, Jinhui Xu
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View. AAAI (2019)
Di Wang, Adam D. Smith, Jinhui Xu
Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations. ALT (2019)
Di Wang, Huanyu Zhang, Marco Gaboardi, Jinhui Xu
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. CoRR (2019)
Di Wang, Jinhui Xu
On Sparse Linear Regression in the Local Differential Privacy Model. ICML (2019)
Qilong Feng, Zhen Zhang, Ziyun Huang, Jinhui Xu, Jianxin Wang
Improved Algorithms for Clustering with Outliers. ISAAC (2019)
Di Wang, Jinhui Xu
Differentially Private High Dimensional Sparse Covariance Matrix Estimation. CoRR (2019)
Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
Privacy-aware Synthesizing for Crowdsourced Data. IJCAI (2019)
Ziyun Huang, Qilong Feng, Jianxin Wang, Jinhui Xu
Small Candidate Set for Translational Pattern Search. ISAAC (2019)
Shi Li, Jinhui Xu, Minwei Ye
Approximating Global Optimum for Probabilistic Truth Discovery. COCOON (2018)
Hu Ding, Jinhui Xu
A Unified Framework for Clustering Constrained Data without Locality Property. CoRR (2018)
Hong Zhu, Hanzhi He, Jinhui Xu, Qianhao Fang, Wei Wang
Medical Image Segmentation Using Fruit Fly Optimization and Density Peaks Clustering. Comput. Math. Methods Medicine 2018 (2018)
Di Wang, Minwei Ye, Jinhui Xu
Differentially Private Empirical Risk Minimization Revisited: Faster and More General. CoRR (2018)
Di Wang, Mengdi Huai, Jinhui Xu
Differentially Private Sparse Inverse Covariance Estimation. GlobalSIP (2018)
Zihe Chen, Danyang Chen, Xiangyu Wang, Robert J. Damiano, Hui Meng, Jinhui Xu
Novel geometric approach for virtual coiling. Theor. Comput. Sci. 734 (2018)
Di Wang, Jinhui Xu
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning. AAAI (2018)
Di Wang, Jinhui Xu
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning. CoRR (2018)
Di Wang, Adam D. Smith, Jinhui Xu
Differentially Private Empirical Risk Minimization in Non-interactive Local Model via Polynomial of Inner Product Approximation. CoRR (2018)
Di Wang, Marco Gaboardi, Jinhui Xu
Efficient Empirical Risk Minimization with Smooth Loss Functions in Non-interactive Local Differential Privacy. CoRR (2018)

Jinhui Xu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jinhui Xu