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

Wernsen Wong (2020) Transfer Deep Learning for Data Stream (co-supervised with Prof Gill Dobbie)

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)

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)

  • Zhang, S., Jung Huang, D. T., Dobbie, G., & Koh, Y. S. (2020). SLED: Semi-supervised locally-weighted ensemble detector. Proceedings - International Conference on Data Engineering. 10.1109/ICDE48307.2020.00183
    Other University of Auckland co-authors: Gill Dobbie
  • Zhuo, S., Sherlock, L., Dobbie, G., Koh, Y. S., Russello, G., & Lottridge, D. (2020). REAL-Time Smartphone Activity Classification Using Inertial Sensors-Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking. Sensors (Basel, Switzerland), 20 (3).10.3390/s20030655
    Other University of Auckland co-authors: Gill Dobbie, Giovanni Russello, Danielle Lottridge
  • Benavides-Prado, D., Koh, Y. S., & Riddle, P. (2020). Towards Knowledgeable Supervised Lifelong Learning Systems. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 68, 159-224.
    Other University of Auckland co-authors: Patricia Riddle
  • Wu, O., Koh, Y. S., Dobbie, G., & Lacombe, T. (2020). PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-47436-2_2
    Other University of Auckland co-authors: Ocean Wu, Gill Dobbie
  • Anderson, R., Koh, Y. S., Dobbie, G., & Bifet, A. (2019). Recurring concept meta-learning for evolving data streams. EXPERT SYSTEMS WITH APPLICATIONS, 13810.1016/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

Identifiers

Contact details

Primary office location

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

Web links