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JiaHang Tu

3 accepted papers

2026

Mass Concept Erasure in Diffusion Models with Concept Hierarchy

AAAI 2026technical

The success of diffusion models has raised concerns about the generation of unsafe or harmful content, prompting concept erasure approaches that fine-tune modules to suppress specific concepts while preserving general generative capabilities. However, as the number of erased concepts grows, these me

Cited by 0SourcePDFScholar
2025

FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning

ICCV 2025poster

Incremental unlearning (IU) is critical for pre-trained models to comply with sequential data deletion requests, yet existing methods primarily suppress parameters or confuse knowledge without explicit constraints on both feature and gradient level, resulting in superficial forgetting where residual…

Cited by 0SourcePDFScholar
2025

TextToucher: Fine-Grained Text-to-Touch Generation

AAAI 2025technical

Tactile sensation plays a crucial role in the development of multi-modal large models and embodied intelligence. To collect tactile data with minimal cost as possible, a series of studies have attempted to generate tactile images by vision-to-touch image translation. However, compared to text modali…