Ting Gong — accepted AI-conference papers

2026

Timestep Rescheduling in Diffusion Inversion

Shangquan Sun, Ting Gong, Liu, Jiamin Wu, Runkai Zhao, Mianxin Liu +2

ICML 2026poster

Diffusion inversion, which maps images back to the Gaussian latent space of a diffusion model, is a critical task for image reconstruction and editing. While DDIM enables fast deterministic inversion, it inherently introduces deviations that accumulate into noticeable inversion errors. Existing meth…

Cited by 0 Source ↗Scholar ↗

2020

Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks

Leopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Oguz H. Elibol, Mehran Nekuii, Hanlin Tang

ICLR 2020poster

Training with larger number of parameters while keeping fast iterations is an increasingly adopted strategy and trend for developing better performing Deep Neural Network (DNN) models. This necessitates increased memory footprint and computational requirements for training. Here we introduce a novel…

Cited by 63 Source ↗Scholar ↗