Weiheng Tang — accepted AI-conference papers

2026

Diffusion Algorithm for Metalens Optical Aberration Correction

Harshana Weligampola, Abhiram Gnanasambandam, Weiheng Tang, Dilshan Godaliyadda, Qi Guo

ICASSP 2026oral

Metalenses offer a path toward creating ultra-thin optical systems, but they inherently suffer from severe, spatially varying optical aberrations, especially chromatic aberration, which makes image reconstruction a significant challenge. This paper presents a novel algorithmic solution to this probl…

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2025

Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method

Weimin Bai, Weiheng Tang, Enze Ye, Siyi Chen, Wenzheng Chen, He Sun

ICASSP 2025accepted

Diffusion models have demonstrated exceptional ability in modeling complex image distributions, making them versatile plug-and-play priors for solving imaging inverse problems. However, their reliance on large-scale clean datasets for training limits their applicability in scenarios where acquiring…

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