7 citations · 11 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
Zhen Long, Qiyuan Wang, Yazhou Ren +2
Anchor-based large-scale multi-view clustering has attracted considerable attention for its effectiveness in handling massive datasets. However, current methods mainly seek the con…
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
Zichen Wen, Yawen Ling, Yazhou Ren +5
Recently there is a growing focus on graph data, and multi-view graph clustering has become a popular area of research interest. Most of the existing methods are only applicable to…