Ocean Wu

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Top Venues

Publications

Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares
Online Air Pollution Inference using Concept Recurrence and Transfer Learning. DSAA (2022)
Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. AsiaCCS (2022)
Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. CoRR (2022)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Cost-Effective Transfer Learning for Data Streams. ICDM (2022)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Probabilistic exact adaptive random forest for recurrent concepts in data streams. Int. J. Data Sci. Anal. 13 (1) (2022)
Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. IJCNN (2021)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. IJCNN (2021)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. ACML (2021)
Ocean Wu, Yun Sing Koh, Giovanni Russello
GPU-based State Adaptive Random Forest for Evolving Data Streams. IJCNN (2020)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. PAKDD (2) (2020)
Aaron Keesing, Matthew Ooi, Ocean Wu, Xinghao Ye, Lindsay Alexander Shaw, Burkhard C. Wünsche
HIIT With Hits: Using Music and Gameplay to Induce HIIT in Exergames. ACSW (2019)