Lu, Haoye

8 publications

ICLR 2026 SFBD-OMNI: Bridge Models for Lossy Measurement Restoration with Limited Clean Samples Haoye Lu, Yaoliang Yu, Darren Lo

AISTATS 2025 Diffusion Models Under Group Transformations Haoye Lu, Spencer Szabados, Yaoliang Yu

ICLRW 2025 SFBD: A Method for Training Diffusion Models with Noisy Data Haoye Lu, Qifan Wu, Yaoliang Yu

ICML 2025 Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets Haoye Lu, Qifan Wu, Yaoliang Yu

ICMLW 2024 Diffusion Models with Group Equivariance Haoye Lu, Spencer Szabados, Yaoliang Yu

ICMLW 2023 CM-GAN: Stabilizing GAN Training with Consistency Models Haoye Lu, Yiwei Lu, Dihong Jiang, Spencer Ryan Szabados, Sun Sun, Yaoliang Yu

ICLR 2023 Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality Haoye Lu, Daniel Herman, Yaoliang Yu

ICLR 2021 On the Dynamics of Training Attention Models Haoye Lu, Yongyi Mao, Amiya Nayak