Chen Dun

GIST: Distributed Training for Large-Scale Graph Convolutional Networks

2021 · arXiv (Cornell University)

The graph convolutional network (GCN) is a go-to solution for machine learning on graphs, but its training is notoriously difficult to scale both in terms of graph size and the number of model parameters. Although …

Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size

2023 · arXiv (Cornell University)

Advances in Semi-Supervised Learning (SSL) have almost entirely closed the gap between SSL and Supervised Learning at a fraction of the number of labels. However, recent performance improvements have often come \textit{at the cost of …

SciDA: Scientific Dynamic Assessor of LLMs

2025 · arXiv (Cornell University)

Advancement in Large Language Models (LLMs) reasoning capabilities enables them to solve scientific problems with enhanced efficacy. Thereby, a high-quality benchmark for comprehensive and appropriate assessment holds significance, while existing ones either confront the risk …