3 papers
cs.CL2026
Representation-Guided Parameter-Efficient LLM Unlearning
Zeguan Xiao, Lang Mo, Yun Chen +4
Large Language Models (LLMs) often memorize sensitive or harmful information, necessitating effective machine unlearning techniques. While existing parameter-efficient unlearning m…
cs.LG2025
LRTuckerRep: Low-rank Tucker Representation Model for Multi-dimensional Data Completion
Wenwu Gong, Lili Yang
Multi-dimensional data completion is a critical problem in computational sciences, particularly in domains such as computer vision, signal processing, and scientific computing. Exi…
cs.CV2025
3DeepRep: 3D Deep Low-rank Tensor Representation for Hyperspectral Image Inpainting
Yunshan Li, Wenwu Gong, Qianqian Wang +2
Recent approaches based on transform-based tensor nuclear norm (TNN) have demonstrated notable effectiveness in hyperspectral image (HSI) inpainting by leveraging low-rank structur…