Ocean Wu

11 papers A* 1A 1B 4C 1Journal 2Unranked 2
YearRankTypeTitle / Venue / Authors
2022 A* conf
Cost-Effective Transfer Learning for Data Streams.
ICDM
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2022 A conf
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE.
AsiaCCS
Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello
2022 J jnl
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE.
CoRR
Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello
2022 B conf
Online Air Pollution Inference using Concept Recurrence and Transfer Learning.
DSAA
Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares
2022 J jnl
Probabilistic exact adaptive random forest for recurrent concepts in data streams.
Int. J. Data Sci. Anal.
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2021 B conf
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams.
IJCNN
Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu
2021 B conf
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams.
IJCNN
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2021 C conf
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams.
ACML
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2020 B conf
GPU-based State Adaptive Random Forest for Evolving Data Streams.
IJCNN
Ocean Wu, Yun Sing Koh, Giovanni Russello
2020 — conf
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams.
PAKDD (2)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
2019 — conf
HIIT With Hits: Using Music and Gameplay to Induce HIIT in Exergames.
ACSW
Aaron Keesing, Matthew Ooi, Ocean Wu, Xinghao Ye, Lindsay Alexander Shaw, Burkhard C. Wünsche