1 citations · 2 across the 4 of their papers we have counts for
4 papers
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
Zhe Li, Laurence T. Yang, Bocheng Ren +4
The scarcity of annotated data has sparked significant interest in unsupervised pre-training methods that leverage medical reports as auxiliary signals for medical visual represent…
General Point Model with Autoencoding and Autoregressive
Zhe Li, Zhangyang Gao, Cheng Tan +2
The pre-training architectures of large language models encompass various types, including autoencoding models, autoregressive models, and encoder-decoder models. We posit that any…
Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification
Xiao Shen, Mengqiu Shao, Shirui Pan +2
Graph neural networks (GNNs) have shown great ability in modeling graphs, however, their performance would significantly degrade when there are noisy edges connecting nodes from di…
IMRSim: A Disk Simulator for Interlaced Magnetic Recording Technology
Zhimin Zeng, Xinyu Chen, Laurence T Yang +1
The emerging interlaced magnetic recording (IMR) technology achieves a higher areal density for hard disk drive (HDD) over the conventional magnetic recording (CMR) technology. IMR…