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Zhihuan Song

2 accepted papers

2026

HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning

CVPR 2026

Lifelong learning aims to preserve knowledge acquired from previous tasks while incorporating knowledge from a sequence of new tasks. However, most prior work explores only streams of homogeneous tasks (*e.g.*, only classification tasks) and neglects the scenario of learning across heterogeneous tas

Cited by 0SourcecodeScholar
2024

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective

NeurIPS 2024poster

Diffusion models have demonstrated competitive performance in missing data imputation (MDI) task. However, directly applying diffusion models to MDI produces suboptimal performance due to two primary defects. First, the sample diversity promoted by diffusion models hinders the accurate inference of…