ProfessorsProfessors of Carnegie Mellon UniversityWei Dai

Wei Dai

Carnegie Mellon University

H-index: 30

North America-United States

About Wei Dai

Wei Dai, With an exceptional h-index of 30 and a recent h-index of 25 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Computer Vision, Machine Learning, Statistics, Artificial Intelligence.

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

System for automated data engineering for large scale machine learning

Structure correcting adversarial network for chest x-rays organ segmentation

System with hybrid communication strategy for large-scale distributed deep learning

Holistic Transfer to Rank for Top-N Recommendation

Benchmarking Deep Learning Robustness on Images with Two-Factor Corruption

Context-Aware Collaborative Ranking

Operating System for Distributed Enterprise Artificial Intelligence Programs on Data Centers and the Clouds

PAT: Preference-aware transfer learning for recommendation with heterogeneous feedback

Wei Dai Information

University	Carnegie Mellon University
Position	Apple;
Citations(all)	4701
Citations(since 2020)	3599
Cited By	2841
hIndex(all)	30
hIndex(since 2020)	25
i10Index(all)	37
i10Index(since 2020)	33
Email	Access Email
University Profile Page	Carnegie Mellon University
Google Scholar	View Google Scholar Profile

Wei Dai Skills & Research Interests

Computer Vision

Machine Learning

Statistics

Artificial Intelligence

Top articles of Wei Dai

Title	Journal	Author(s)	Publication Date
System for automated data engineering for large scale machine learning			2022/4/12
Structure correcting adversarial network for chest x-rays organ segmentation			2020/6/30
System with hybrid communication strategy for large-scale distributed deep learning			2021/11/18
Holistic Transfer to Rank for Top-N Recommendation	ACM Transactions on Interactive Intelligent Systems (TiiS)	Wanqi Ma Xiaoxiao Liao Wei Dai Weike Pan Zhong Ming	2021/3/15
Benchmarking Deep Learning Robustness on Images with Two-Factor Corruption		Wei Dai	2020
Context-Aware Collaborative Ranking		Wei Dai Weike Pan Zhong Ming	2020
Operating System for Distributed Enterprise Artificial Intelligence Programs on Data Centers and the Clouds			2020/12/3
PAT: Preference-aware transfer learning for recommendation with heterogeneous feedback		Feng Liang Wei Dai Yunfeng Huang Weike Pan Zhong Ming	2020/7/19
Conditional restricted Boltzmann machine for item recommendation	Neurocomputing	Zixiang Chen Wanqi Ma Wei Dai Weike Pan Zhong Ming	2020/4/14