2 citations · 2 across the 4 of their papers we have counts for
4 papers
ResDynUNet++: A nested U-Net with residual dynamic convolution blocks for dual-spectral CT
Ze Yuan, Wenbin Li, Shusen Zhao
We propose a hybrid reconstruction framework for dual-spectral CT (DSCT) that integrates iterative methods with deep learning models. The reconstruction process consists of two com…
Continuous Speech Tokens Makes LLMs Robust Multi-Modality Learners
Ze Yuan, Yanqing Liu, Shujie Liu +1
Recent advances in GPT-4o like multi-modality models have demonstrated remarkable progress for direct speech-to-speech conversation, with real-time speech interaction experience an…
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
He Zhu, Junran Wu, Ruomei Liu +5
Existing self-supervised methods in natural language processing (NLP), especially hierarchical text classification (HTC), mainly focus on self-supervised contrastive learning, extr…
A new semi-supervised inductive transfer learning framework: Co-Transfer
Zhe Yuan, Yimin Wen
In many practical data mining scenarios, such as network intrusion detection, Twitter spam detection, and computer-aided diagnosis, a source domain that is different from but relat…