PPaperPicks

Yaoliang Yu

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

DBLP profile ↗ORCID search ↗

Venues

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

Frequent coauthors

Baoxiang Wang
×4
Yiwei Lu
×3
Gautam Kamath
×3
Jing Dong
×3
Haoye Lu
×2
Weida Li
×2
Jimmy Z. Di
×1
Adam Dziedzic
×1
Franziska Boenisch
×1
Ruinan Jin
×1
Xiao Li
×1
Wenchang Duan
×1

Papers

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