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Yuanyuan Liu

8 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

AAAI ×3ACM MM ×2NeurIPS ×2ICML ×1

Frequent coauthors

Fanhua Shang
×8
Hongying Liu
×8
Junkang Liu
×5
Yuxuan Tian
×2
Jin Liu
×2
Wei Feng
×2
Weixin An
×2
Liang Wan
×2
Kewen Zhu
×1
Zhouchen Lin
×1
Han Yu
×1
Sen Chen
×1

Papers

  1. FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
    AAAI 2026 ·
    Junkang Liu
    ,
    Fanhua Shang
    ,
    Hongying Liu
    ,
    Yuxuan Tian
    , Yuanyuan Liu,
    Jin Liu
    ,
    Kewen Zhu
    ,
    Zhouchen Lin
  2. Consistency of Local and Global Flatness for Federated Learning
    ACM MM 2025 ·
    Junkang Liu
    ,
    Fanhua Shang
    ,
    Yuxuan Tian
    ,
    Hongying Liu
    , Yuanyuan Liu
  3. Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
    ICML 2025 ·
    Junkang Liu
    , Yuanyuan Liu,
    Fanhua Shang
    ,
    Hongying Liu
    ,
    Jin Liu
    ,
    Wei Feng
  4. Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
    NeurIPS 2025 ·
    Weixin An
    , Yuanyuan Liu,
    Fanhua Shang
    ,
    Han Yu
    ,
    Junkang Liu
    ,
    Hongying Liu
  5. Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
    AAAI 2025 ·
    Sen Chen
    ,
    Hongying Liu
    ,
    Chaowei Fang
    ,
    Fanhua Shang
    , Yuanyuan Liu,
    Liang Wan
    ,
    Dongmei Jiang
    ,
    Yaowei Wang
  6. FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
    ACM MM 2024 ·
    Junkang Liu
    ,
    Fanhua Shang
    , Yuanyuan Liu,
    Hongying Liu
    ,
    Yuangang Li
    ,
    YunXiang Gong
  7. Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
    NeurIPS 2024 ·
    Weixin An
    , Yuanyuan Liu,
    Fanhua Shang
    ,
    Hongying Liu
  8. SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network
    AAAI 2024 ·
    Zekun Li
    ,
    Hongying Liu
    ,
    Fanhua Shang
    , Yuanyuan Liu,
    Liang Wan
    ,
    Wei Feng