5 papers
ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory
Jianchao Wang, Qingfeng Li, Pengcheng Zheng +2
Training deep neural networks on real-world datasets is often hampered by the presence of noisy labels, which can be memorized by over-parameterized models, leading to significant…
Joint Lossless Compression and Steganography for Medical Images via Large Language Models
Pengcheng Zheng, Xiaorong Pu, Kecheng Chen +8
Recently, large language models (LLMs) have driven promising progress in lossless image compression. However, directly adopting existing paradigms for medical images suffers from a…
Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior
Pengcheng Zheng, Kecheng Chen, Jiaxin Huang +4
Medical image restoration tasks aim to recover high-quality images from degraded observations, exhibiting emergent desires in many clinical scenarios, such as low-dose CT image den…
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering
Zichen Wen, Tianyi Wu, Yazhou Ren +4
Multi-view clustering is an important machine learning task for multi-media data, encompassing various domains such as images, videos, and texts. Moreover, with the growing abundan…
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering
Jianpeng Chen, Yawen Ling, Yazhou Ren +4
With the increasing prevalence of graph-structured data, multi-view graph clustering has been widely used in various downstream applications. Existing approaches primarily rely on…