18 citations · 22 across the 5 of their papers we have counts for
5 papers
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
Xingchen Zhou, Ying He, F. Richard Yu +2
The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world. However, it is still a very demanding ta…
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin, You Li, Ning Gui +2
Unsupervised graph representation learning(GRL) aims to distill diverse graph information into task-agnostic embeddings without label supervision. Due to a lack of support from lab…
Graph Representation Learning Beyond Node and Homophily
You Li, Bei Lin, Binli Luo +1
Unsupervised graph representation learning aims to distill various graph information into a downstream task-agnostic dense vector embedding. However, existing graph representation…
Pair-view Unsupervised Graph Representation Learning
You Li, Binli Luo, Ning Gui
Low-dimension graph embeddings have proved extremely useful in various downstream tasks in large graphs, e.g., link-related content recommendation and node classification tasks, et…
Melody Classifier with Stacked-LSTM
You Li, Zhuowen Lin
Attempts to use generative models for music generation have been common in recent years, and some of them have achieved good results. Pieces generated by some of these models are a…