Yun Sing Koh

Yun Sing Koh

University of Auckland

H-index: 27

Oceania-New Zealand

About Yun Sing Koh

Yun Sing Koh, With an exceptional h-index of 27 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Data Mining and Machine Learning, Data Stream Mining, Continual Learning.

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

Quantile-regression-ensemble: A deep learning algorithm for downscaling extreme precipitation

Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models

Regional Bias in Monolingual English Language Models

Harnessing the Power of Graph Representation in Climate Forecasting: Predicting Global Monthly Mean Sea Surface Temperatures and Anomalies

Symmetric Self-Paced Learning for Domain Generalization

Using Flexible Memories to Reduce Catastrophic Forgetting

HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference

Yun Sing Koh Information

University

Position

The

Citations(all)

3075

Citations(since 2020)

1945

Cited By

1908

hIndex(all)

27

hIndex(since 2020)

20

i10Index(all)

53

i10Index(since 2020)

37

Email

University Profile Page

University of Auckland

Google Scholar

View Google Scholar Profile

Yun Sing Koh Skills & Research Interests

Data Mining and Machine Learning

Data Stream Mining

Continual Learning

Top articles of Yun Sing Koh

Title

Journal

Author(s)

Publication Date

Quantile-regression-ensemble: A deep learning algorithm for downscaling extreme precipitation

Proceedings of the AAAI Conference on Artificial Intelligence

Thomas Bailie

Yun Sing Koh

Neelesh Rampal

Peter B Gibson

2024/3/24

Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models

arXiv preprint arXiv:2402.11989

Zihao Luo

Xilie Xu

Feng Liu

Yun Sing Koh

Di Wang

...

2024/2/19

Regional Bias in Monolingual English Language Models

Jiachen Lyu

Katharina Dost

Yun Sing Koh

Jörg Wicker

2024/1/24

Harnessing the Power of Graph Representation in Climate Forecasting: Predicting Global Monthly Mean Sea Surface Temperatures and Anomalies

Earth and Space Science

Ding Ning

Varvara Vetrova

Karin R. Bryan

Yun Sing Koh

2024

Symmetric Self-Paced Learning for Domain Generalization

Proceedings of the AAAI Conference on Artificial Intelligence

Di Zhao

Yun Sing Koh

Gillian Dobbie

Hongsheng Hu

Philippe Fournier-Viger

2024/3/24

Using Flexible Memories to Reduce Catastrophic Forgetting

Wernsen Wong

Yun Sing Koh

Gillian Dobbie

2023/5/25

HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE

Computers & Security

Qifan Wang

Lei Zhou

Jianli Bai

Yun Sing Koh

Shujie Cui

...

2023/12/1

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference

arXiv preprint arXiv:2305.00645

Qifan Wang

Shujie Cui

Lei Zhou

Ye Dong

Jianli Bai

...

2023/5/1

Emotion recognition toolkit (ertk): Standardising tools for emotion recognition research

Aaron Keesing

Yun Sing Koh

Vithya Yogarajan

Michael Witbrock

2023/10/26

SoK: Human-centered phishing susceptibility

ACM Transactions on Privacy and Security

Sijie Zhuo

Robert Biddle

Yun Sing Koh

Danielle Lottridge

Giovanni Russello

2023/4/14

Towards Personalized AI: Early-stopping Low-Rank Adaptation of Foundation Models

LUO Zihao

Di Wang

Yun Sing Koh

Jingfeng Zhang

2023/10/13

FALL: A Modular Adaptive Learning Platform for Streaming Data

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2023/4/3

Time-Sensitive Replay for Continual Learning

Jack Colin Julian

Yun Sing Koh

Albert Bifet

2023/10/13

What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility

arXiv preprint arXiv:2304.00664

Sijie Zhuo

Robert Biddle

Lucas Betts

Nalin Asanka Gamagedara Arachchilage

Yun Sing Koh

...

2023/4/3

Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata

Empirical Software Engineering

Peter Devine

Yun Sing Koh

Kelly Blincoe

2023/3

Data Science and Machine Learning: 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings

Diana Benavides-Prado

Sarah Erfani

Philippe Fournier-Viger

Yee Ling Boo

Yun Sing Koh

2023/12/4

Combining diverse meta-features to accurately identify recurring concept drift in data streams

ACM Transactions on Knowledge Discovery from Data

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2023/5/12

Semi-Supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation

Olivier Graffeuille

Yun Sing Koh

Jörg Wicker

Moritz Lehmann

2022

Online Air Pollution Inference using Concept Recurrence and Transfer Learning

Bowen Chen

Yun Sing Koh

Gillian Dobbie

Ocean Wu

Guy Coulson

...

2022/10/13

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

See List of Professors in Yun Sing Koh University(University of Auckland)

Co-Authors

H-index: 60
Philippe Fournier-Viger

Philippe Fournier-Viger

Harbin Institute of Technology

H-index: 59
Bernhard Pfahringer

Bernhard Pfahringer

University of Waikato

H-index: 50
Mykola Pechenizkiy

Mykola Pechenizkiy

Technische Universiteit Eindhoven

H-index: 34
Gillian Dobbie

Gillian Dobbie

University of Auckland

H-index: 4
Ocean Wu

Ocean Wu

University of Auckland

H-index: 4
Ben Halstead

Ben Halstead

University of Auckland

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