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Luo Luo

17 papers at tracked venues · 14 at CORE A* · active 2024–2026

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Venues

AAAI ×5NeurIPS ×5ICML ×4COLT ×2AISTATS ×1

Frequent coauthors

Lesi Chen
×4
Haishan Ye
×4
Chengchang Liu
×3
Zhuanghua Liu
×3
Bryan Kian Hsiang Low
×3
Hongxu Chen
×2
Ke Wei
×2
Jingzhao Zhang
×2
Yuxing Liu
×2
Jing Xue
×1
Zhishen Sun
×1
Xiangyu Chang
×1

Papers

  1. Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
    AAAI 2026 ·
    Hongxu Chen
    ,
    Ke Wei
    , Luo Luo
  2. Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity
    COLT 2026 ·
    Lesi Chen
    ,
    Chengchang Liu
    , Luo Luo,
    Jingzhao Zhang
  3. Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
    AAAI 2026 ·
    Jing Xue
    ,
    Zhishen Sun
    ,
    Haishan Ye
    , Luo Luo,
    Xiangyu Chang
    ,
    Guang Dai
  4. A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
    NeurIPS 2025 ·
    Hongxu Chen
    ,
    Ke Wei
    ,
    Haishan Ye
    , Luo Luo
  5. A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
    ICML 2025 ·
    Kunjie Ren
    , Luo Luo
  6. Accelerated Evolving Set Processes for Local PageRank Computation
    NeurIPS 2025 ·
    Binbin Huang
    , Luo Luo,
    Yanghua Xiao
    ,
    Deqing Yang
    ,
    Baojian Zhou
  7. An Enhanced Levenberg-Marquardt Method via Gram Reduction
    AAAI 2025 ·
    Chengchang Liu
    , Luo Luo,
    John C. S. Lui
  8. Solving Convex-Concave Problems with 풪(ε-4/7) Second-Order Oracle Complexity
    COLT 2025 ·
    Lesi Chen
    ,
    Chengchang Liu
    , Luo Luo,
    Jingzhao Zhang
  9. An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
    AISTATS 2024 ·
    Lesi Chen
    ,
    Haishan Ye
    , Luo Luo
  10. Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers
    ICML 2024 ·
    Yuxing Liu
    ,
    Lesi Chen
    , Luo Luo
  11. Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization
    AAAI 2024 ·
    Zhenwei Lin
    ,
    Jingfan Xia
    ,
    Qi Deng
    , Luo Luo
  12. Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
    NeurIPS 2024 ·
    Zhuanghua Liu
    , Luo Luo,
    Bryan Kian Hsiang Low
  13. Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
    AAAI 2024 ·
    Zhuanghua Liu
    , Luo Luo,
    Bryan Kian Hsiang Low
  14. Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
    NeurIPS 2024 ·
    Qihao Zhou
    ,
    Haishan Ye
    , Luo Luo
  15. On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition
    ICML 2024 ·
    Yunyan Bai
    ,
    Yuxing Liu
    , Luo Luo
  16. Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
    NeurIPS 2024 ·
    Shihong Ding
    ,
    Long Yang
    , Luo Luo,
    Cong Fang
  17. Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
    ICML 2024 ·
    Zhuanghua Liu
    ,
    Cheng Chen
    , Luo Luo,
    Bryan Kian Hsiang Low