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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

Junkang Liu
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×4
Weixin An
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×2
Sen Chen
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×1
Zekun Li
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×1

Papers

  1. FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
    AAAI 2026 ·
    Junkang Liu
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  2. Consistency of Local and Global Flatness for Federated Learning
    ACM MM 2025 ·
    Junkang Liu
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  3. Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
    ICML 2025 ·
    Junkang Liu
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  4. Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
    NeurIPS 2025 ·
    Weixin An
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  5. Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
    AAAI 2025 ·
    Sen Chen
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  6. FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
    ACM MM 2024 ·
    Junkang Liu
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  7. Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
    NeurIPS 2024 ·
    Weixin An
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  8. SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network
    AAAI 2024 ·
    Zekun Li
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