Ian En-Hsu Yen

Carnegie Mellon University

H-index: 19

North America-United States

About Ian En-Hsu Yen

Ian En-Hsu Yen, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Optimization, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty

Rethinking Network Pruning--under the Pre-train and Fine-tune Paradigm

Sparse progressive distillation: Resolving overfitting under pretrain-and-finetune paradigm

Minimizing flops to learn efficient sparse representations

Ian En-Hsu Yen Information

University	Carnegie Mellon University
Position	PhD Machine Learning Department
Citations(all)	1412
Citations(since 2020)	1117
Cited By	923
hIndex(all)	19
hIndex(since 2020)	16
i10Index(all)	26
i10Index(since 2020)	19
Email	Access Email
University Profile Page	Carnegie Mellon University
Google Scholar	View Google Scholar Profile

Ian En-Hsu Yen Skills & Research Interests

Machine Learning

Optimization

Artificial Intelligence

Top articles of Ian En-Hsu Yen

Title	Journal	Author(s)	Publication Date
Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty		Ta-Chun Shen Chun-Pai Yang Ian En-Hsu Yen Shou-De Lin	2022/10/13
Rethinking Network Pruning--under the Pre-train and Fine-tune Paradigm	arXiv preprint arXiv:2104.08682	Dongkuan Xu Ian EH Yen Jinxi Zhao Zhibin Xiao	2021/4/18
Sparse progressive distillation: Resolving overfitting under pretrain-and-finetune paradigm	arXiv preprint arXiv:2110.08190	Shaoyi Huang Dongkuan Xu Ian EH Yen Yijue Wang Sung-En Chang ...	2021/10/15
Minimizing flops to learn efficient sparse representations	arXiv preprint arXiv:2004.05665	Biswajit Paria Chih-Kuan Yeh Ian EH Yen Ning Xu Pradeep Ravikumar ...	2020/4/12