Dr Yun Sing Koh

Biography

Dr Yun Sing Koh is a Senior Lecturer at the School of Computer Science, The University of Auckland, New Zealand. Her research is in the area of machine learning. Within the broad research realm, she is currently focusing on three strands of research: data stream mining, lifelong and transfer learning, and pattern mining. She has published more than 80 research papers in this field at top venues.  She has been active in research community including serving as the Program Co-Chair of the Australasian Data Mining Conference 2018 and as the  Workshop Chair for the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining.  She has just been awarded a Marsden Fast-Start grant in the 2018 round.

Research | Current

My current research interests include

  • Data Mining specifically Pattern Mining,
  • Data Stream Mining,
  • Machine Learning,
  • Information Retrieval.

 

Postgraduate supervision

Current PhD Supervision / Co-Supervision

Ben Halstead (2019) Adapative Predictive System for Life-long Learning

Shuxiang Zhang (2018) Concept Drift Detection (co-supervised with Prof Gill Dobbie & Dr David Huang)

Jason Chen (2018) Interpretting Changes in Data Streams (co-supervised with Prof Gill Dobbie)

Alex (Yuxuan) Peng (2017) Deep Learning (co-supervised with Dr Pat Riddle)

Diana Benavides Prado (2016) - Meta Learning and Transfer Learning (co-supervised with Dr Pat Riddle)

Robert Anderson (2016) - Data Stream Mining (co-supervised with Prof Gill Dobbie)

Monica Bian (2015) - Social Network Mining (co-supervised with Prof Gill Dobbie)

Ian Wong (2016) - Feature Selection and Engineering (co-supervised with Prof Gill Dobbie)

Areas of expertise

Machine learning specifically in the area of unsupervised learning, data stream mining, anomaly detection, transfer learning.

Selected publications and creative works (Research Outputs)

  • Anderson, R., Koh, Y. S., Dobbie, G., & Bifet, A. (2019). Recurring concept meta-learning for evolving data streams. Expert Systems with Applications, 138.10.1016/j.eswa.2019.112832
    Other University of Auckland co-authors: Gill Dobbie
  • Fournier-Viger, P., Zhang, Y., Lin, J. C.-W., Fujita, H., & Koh, Y. S. (2019). Mining local and peak high utility itemsets. INFORMATION SCIENCES, 481, 344-367. 10.1016/j.ins.2018.12.070
  • Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Identifying Top-k Nodes in Social Networks: A Survey. ACM COMPUTING SURVEYS, 52 (1)10.1145/3301286
    Other University of Auckland co-authors: Gill Dobbie
  • Rajagopal, P., Ravana, S. D., Koh, Y. S., & Balakrishnan, V. (2019). Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment. ASLIB JOURNAL OF INFORMATION MANAGEMENT, 71 (1), 2-17. 10.1108/AJIM-04-2018-0086
  • Huang, D. T. J., Koh, Y. S., & Dobbie, G. (2019). Interpreting intermittent bugs in mozilla applications using change angle. Communications in Computer and Information Science. 10.1007/978-981-13-6661-1_25
    Other University of Auckland co-authors: David Huang, Gill Dobbie
  • Huggard, H., Koh, Y. S., Riddle, P., & Olivares, G. (2019). Predicting air quality from low-cost sensor measurements. Communications in Computer and Information Science. 10.1007/978-981-13-6661-1_8
  • Peng, A. Y., Sing Koh, Y., Riddle, P., & Pfahringer, B. (2019). Using supervised pretraining to improve generalization of neural networks on binary classification problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-10925-7_25
    Other University of Auckland co-authors: Alex Peng
  • Wong, I. S., Dobbie, G., & Koh, Y. S. (2019). Items2Data: Generating synthetic boolean datasets from itemsets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-12079-5_6
    Other University of Auckland co-authors: Gill Dobbie

Identifiers

Contact details

Primary office location

SCIENCE CENTRE 303S - Bldg 303S
Level 4, Room 485
38 PRINCES ST
AUCKLAND 1010
New Zealand

Web links