ProfessorsProfessors of University of AucklandOcean Wu

Ocean Wu

University of Auckland

H-index: 4

Oceania-New Zealand

About Ocean Wu

Ocean Wu, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Machine Learning, Data Stream Mining, Distributed Systems.

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

Learning and Adapting Continuously for Data Streams

Online Air Pollution Inference using Concept Recurrence and Transfer Learning

Enclavetree: Privacy-preserving data stream training and inference using tee

Probabilistic exact adaptive random forest for recurrent concepts in data streams

Cost-effective transfer learning for data streams

Transfer learning with adaptive online tradaboost for data streams

Nacre: Proactive recurrent concept drift detection in data streams

A meta-learning approach for automated hyperparameter tuning in evolving data streams

Ocean Wu Information

University	University of Auckland
Position	The
Citations(all)	33
Citations(since 2020)	33
Cited By	0
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	0
i10Index(since 2020)	0
Email	Access Email
University Profile Page	University of Auckland
Google Scholar	View Google Scholar Profile

Ocean Wu Skills & Research Interests

Machine Learning

Data Stream Mining

Distributed Systems

Top articles of Ocean Wu

Title	Journal	Author(s)	Publication Date
Learning and Adapting Continuously for Data Streams		Ocean Wu	2023
Online Air Pollution Inference using Concept Recurrence and Transfer Learning		Bowen Chen Yun Sing Koh Gillian Dobbie Ocean Wu Guy Coulson ...	2022/10/13
Enclavetree: Privacy-preserving data stream training and inference using tee		Qifan Wang Shujie Cui Lei Zhou Ocean Wu Yonghua Zhu ...	2022/5/30
Probabilistic exact adaptive random forest for recurrent concepts in data streams	International Journal of Data Science and Analytics	Ocean Wu Yun Sing Koh Gillian Dobbie Thomas Lacombe	2022/1
Cost-effective transfer learning for data streams		Ocean Wu Yun Sing Koh Gillian Dobbie Thomas Lacombe	2022/11/28
Transfer learning with adaptive online tradaboost for data streams		Ocean Wu Yun Sing Koh Gillian Dobbie Thomas Lacombe	2021/11/28
Nacre: Proactive recurrent concept drift detection in data streams		Ocean Wu Yun Sing Koh Gillian Dobbie Thomas Lacombe	2021/7/18
A meta-learning approach for automated hyperparameter tuning in evolving data streams		Thomas Lacombe Yun Sing Koh Gillian Dobbie Ocean Wu	2021/7/18
Gpu-based state adaptive random forest for evolving data streams		Ocean Wu Yun Sing Koh Giovanni Russello	2020/7/19
Pearl: Probabilistic exact adaptive random forest with lossy counting for data streams		Ocean Wu Yun Sing Koh Gillian Dobbie Thomas Lacombe	2020