Jinhui Xu

Venues

Frequent coauthors

Papers

1. Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
   AAAI 2025 ·

   Di Wu

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2. Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
   NeurIPS 2025 ·

   Kai Zheng

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3. Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
   AAAI 2025 ·

   Ruijia Zhang

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4. Nearly Optimal Differentially Private ReLU Regression
   UAI 2025 ·

   Meng Ding

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5. New Algorithms for the Learning-Augmented k-means Problem
   ICLR 2025 ·

   Junyu Huang

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6. TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
   ICLR 2025 ·

   Mingxi Lei

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7. Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
   ICLR 2024 ·

   Liyang Zhu

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8. Linear Time Approximation Algorithm for Column Subset Selection with Local Search
   NeurIPS 2024 ·

   Yuanbin Zou

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9. Near-Linear Time Approximation Algorithms for k-means with Outliers
   ICML 2024 ·

   Junyu Huang

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10. New Algorithms for Distributed Fair k-Center Clustering: Almost Accurate as Sequential Algorithms
    AAMAS 2024 ·

    Xiaoliang Wu

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11. Revisiting Differentially Private ReLU Regression
    NeurIPS 2024 ·

    Meng Ding

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12. SEC: More Accurate Clustering Algorithm via Structural Entropy
    AAAI 2024 ·

    Junyu Huang

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13. Truthful High Dimensional Sparse Linear Regression
    NeurIPS 2024 ·

    Liyang Zhu

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14. Understanding Forgetting in Continual Learning with Linear Regression
    ICML 2024 ·

    Meng Ding

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