13 citations · 23 across the 5 of their papers we have counts for
5 papers
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
Fan Zhang, Xin Zhang
Massive number of applications involve data with underlying relationships embedded in non-Euclidean space. Graph neural networks (GNNs) are utilized to extract features by capturin…
Speech-driven Personalized Gesture Synthetics: Harnessing Automatic Fuzzy Feature Inference
Fan Zhang, Zhaohan Wang, Xin Lyu +8
Speech-driven gesture generation is an emerging field within virtual human creation. However, a significant challenge lies in accurately determining and processing the multitude of…
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Quan Sun, Jinsheng Wang, Qiying Yu +4
Scaling up contrastive language-image pretraining (CLIP) is critical for empowering both vision and multimodal models. We present EVA-CLIP-18B, the largest and most powerful open-s…
Label-Free Multi-Domain Machine Translation with Stage-wise Training
Fan Zhang, Mei Tu, Sangha Kim +2
Most multi-domain machine translation models rely on domain-annotated data. Unfortunately, domain labels are usually unavailable in both training processes and real translation sce…
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR
Luning Bi, Yunlong Wang, Fan Zhang +3
In the past decade, with the development of big data technology, an increasing amount of patient information has been stored as electronic health records (EHRs). Leveraging these d…