Weilin Cong

Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks

Weilin Cong, Rana Forsati, Mahmut Kandemir et al. · 2020 · 70 citations

Graph Sparsity, Engineering, Machine Learning +16

Scene Graph Generation via Conditional Random Fields

Weilin Cong, William Yang Wang, Wang-Chien Lee · arXiv (Cornell University) · 2018 · 18 citations · Full text

Scene Analysis, Engineering, Machine Learning +16

Do We Really Need Complicated Model Architectures For Temporal Networks?

Weilin Cong, Si Zhang, Jian Kang et al. · arXiv (Cornell University) · 2023 · 18 citations · Full text

Geometric Learning, Engineering, Machine Learning +19

On Provable Benefits of Depth in Training Graph Convolutional Networks

Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi · arXiv (Cornell University) · 2021 · 17 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +16

GCN meets GPU: Decoupling “When to Sample” from “How to Sample”

Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi et al. · Neural Information Processing Systems · 2020 · 11 citations

Gpu Architecture, Gcn Meets Gpu, Engineering +9