2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2025
AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents
Shangheng Du, Xiangchao Yan, Dengyang Jiang +6
Large language models (LLMs) have shown impressive performance in general programming tasks. However, in Machine Learning Engineering (MLE) scenarios such as AutoML and Kaggle comp…
cs.LG2025
FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
Yushan Zhao, Jinyuan He, Donglai Chen +5
Federated learning (FL) is a decentralized collaborative machine learning (ML) technique. It provides a solution to the issues of isolated data islands and data privacy leakage in…
cond-mat.mtrl-sci2025★ 2 cited
The 2D Materials Roadmap
Wencai Ren, Peter Bøggild, Joan Redwing +70
Over the past two decades, 2D materials have rapidly evolved into a diverse and expanding family of material platforms. Many members of this materials class have demonstrated their…