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Yaoliang Yu

15 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

NeurIPS ×5ICML ×4AAAI ×2AISTATS ×2ICLR ×2

Frequent coauthors

Jing Dong
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Haoye Lu
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Weida Li
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Jimmy Z. Di
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Ruinan Jin
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Wenchang Duan
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Yihan Wang
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Andre Kassis
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Zeou Hu
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Yiwei Lu
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Saber Malekmohammadi
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Papers

  1. Demystifying Foreground-Background Memorization in Diffusion Models
    AAAI 2026 ·
    Jimmy Z. Di
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  2. A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
    ICML 2025 ·
    Ruinan Jin
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  3. Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Wenchang Duan
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  4. BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
    NeurIPS 2025 ·
    Yihan Wang
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  5. DiffBreak: Is Diffusion-Based Purification Robust?
    NeurIPS 2025 ·
    Andre Kassis
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  6. Diffusion Models under Group Transformations
    AISTATS 2025 ·
    Haoye Lu
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  7. Last-iterate Convergence in Regularized Graphon Mean Field Game
    AAAI 2025 ·
    Jing Dong
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  8. Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization
    ICLR 2025 ·
    Zeou Hu
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  9. Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets
    ICML 2025 ·
    Haoye Lu
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  10. Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
    NeurIPS 2025 ·
    Jing Dong
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  11. Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
    AISTATS 2024 ·
    Jing Dong
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  12. Disguised Copyright Infringement of Latent Diffusion Models
    ICML 2024 ·
    Yiwei Lu
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  13. Faster Approximation of Probabilistic and Distributional Values via Least Squares
    ICLR 2024 ·
    Weida Li
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  14. Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
    ICML 2024 ·
    Saber Malekmohammadi
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  15. One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
    NeurIPS 2024 ·
    Weida Li
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