| 2026 | WACV | Zero-Shot Domain Generalisation via Prompt-Driven Feature Refinement. | Tingrui Qiao, Di Zhao, Caroline Walker, Chris Cunningham, Yun Sing Koh |
| 2026 | WACV | Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment. | Yihao Wu, Di Zhao, Yuzhuo Li, Matthew Alajas, Alistair S. Glen, Jingfeng Zhang, Gillian Dobbie, Daniel Wilson, Yun Sing Koh |
| 2026 | WSDM | HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling. | Thomas Bailie, Yun Sing Koh, Surya Karthik Mukkavilli |
| 2025 | AAAI | Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models. | Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang |
| 2025 | CIKM | Thematic Bottleneck Models for Multimodal Analysis of School Attendance. | Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam Jang-Jones, Susan M. B. Morton, Kane Meissel, Yun Sing Koh |
| 2025 | ECIR | LIBRA: Measuring Bias of Large Language Model from a Local Context. | Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh |
| 2025 | ICCV | GloPER: Unsupervised Animal Pattern Extraction from Local Reconstruction. | Bowen Chen, Yun Sing Koh, Gillian Dobbie |
| 2025 | ICDM | Message-Passing Under Heterophily for Graph Classification. | Callum Cory, Miao Qiao, Diana Benavides-Prado, Yun Sing Koh |
| 2025 | IJCAI | CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments. | Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh |
| 2025 | IJCAI | Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation. | Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh |
| 2025 | WWW | Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis. | Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh |
| 2024 | AAAI | Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation. | Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B. Gibson |
| 2024 | AAAI | Symmetric Self-Paced Learning for Domain Generalization. | Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger |
| 2024 | AusDM | Glucose Forecasting Through Physiological Modelling. | Dane Lyttinen, Ivana Sequeira-Bisson, Jennifer Miles-Chan, Yun Sing Koh |
| 2024 | ECAI | Learning After Learning: Positive Backward Transfer in Continual Learning. | Wernsen Wong, Yun Sing Koh, Gillian Dobbie |
| 2024 | IJCAI | Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach. | Olivier Graffeuille, Yun Sing Koh, Jrg Wicker, Moritz K. Lehmann |
| 2024 | IJCAI | Recurrent Concept Drifts on Data Streams. | Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh |
| 2024 | IJCAI | Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. | Yun Sing Koh, Albert Bifet, Karin R. Bryan, Guilherme Weigert Cassales, Olivier Graffeuille, Nick Jin Sean Lim, Phil Mourot, Ding Ning, Bernhard Pfahringer, Varvara Vetrova, Heitor Murilo Gomes |
| 2024 | KDD | Sketch-Based Replay Projection for Continual Learning. | Jack Julian, Yun Sing Koh, Albert Bifet |
| 2024 | WWW | Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand. | Bowen Chen, Gillian Dobbie, Neelesh Rampal, Yun Sing Koh |
| 2024 | TrustCom | GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference. | Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello |
| 2023 | ICDE | FALL: A Modular Adaptive Learning Platform for Streaming Data. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2023 | OZCHI | A Large-Scale Study of Device and Link Presentation in Email Phishing Susceptibility. | Sijie Zhuo, Robert Biddle, Lucas Betts, Nalin A. G. Arachchilage, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello |
| 2023 | PAKDD | Using Flexible Memories to Reduce Catastrophic Forgetting. | Wernsen Wong, Yun Sing Koh, Gillian Dobbie |
| 2022 | AAAI | Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. | Olivier Graffeuille, Yun Sing Koh, Jrg Wicker, Moritz K. Lehmann |
| 2022 | AusDM | Measuring Difficulty of Learning Using Ensemble Methods. | Bowen Chen, Yun Sing Koh, Ben Halstead |
| 2022 | AusDM | Investigation of Explainability Techniques for Multimodal Transformers. | Krithik Ramesh, Yun Sing Koh |
| 2022 | DSAA | Online Air Pollution Inference using Concept Recurrence and Transfer Learning. | Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares |
| 2022 | DSAA | A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet |
| 2022 | ICDM | Cost-Effective Transfer Learning for Data Streams. | Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe |
| 2022 | IJCNN | Measuring Drift Severity by Tree Structure Classifiers. | Di Zhao, Yun Sing Koh, Philippe Fournier-Viger |
| 2022 | RE | What's Inside a Cluster of Software User Feedback: A Study of Characterisation Methods. | Peter Devine, James Tizard, Hechen Wang, Yun Sing Koh, Kelly Blincoe |
| 2021 | ACML | Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. | Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe |
| 2021 | DSAA | Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson |
| 2021 | ICDE | Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. | Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears |
| 2021 | IJCNN | Continual Correction of Errors Using Smart Memory Replay. | Callum Cory, Diana Benavides Prado, Yun Sing Koh |
| 2021 | IJCNN | A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. | Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu |
| 2021 | IJCNN | Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. | Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe |
| 2021 | Interspeech | Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. | Aaron Keesing, Yun Sing Koh, Michael Witbrock |
| 2021 | RE | Evaluating Unsupervised Text Embeddings on Software User Feedback. | Peter Devine, Yun Sing Koh, Kelly Blincoe |
| 2020 | DEXA | Feature Drift Detection in Evolving Data Streams. | Di Zhao, Yun Sing Koh |
| 2020 | DSAA | Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text. | Balkaran Singh, Quan Sun, Yun Sing Koh, Junjae Lee, Edmond Zhang |
| 2020 | ICDE | SLED: Semi-supervised Locally-weighted Ensemble Detector. | Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh |
| 2020 | IJCNN | GPU-based State Adaptive Random Forest for Evolving Data Streams. | Ocean Wu, Yun Sing Koh, Giovanni Russello |
| 2020 | PAKDD | PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. | Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe |
| 2020 | SIGIR | Detecting Concept Drift In Medical Triage. | Hamish Huggard, Yun Sing Koh, Gillian Dobbie, Edmond Zhang |
| 2019 | ACML | Investigating the effect of novel classes in semi-supervised learning. | Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer |
| 2019 | ADC | Items2Data: Generating Synthetic Boolean Datasets from Itemsets. | Ian Shane Wong, Gillian Dobbie, Yun Sing Koh |
| 2019 | AusDM | Classifying Imbalanced Road Accident Data Using Recurring Concept Drift. | Robert Anderson, Yun Sing Koh, Gillian Dobbie |
| 2019 | AusDM | Using Transfer Learning to Detect Phishing in Countries with a Small Population. | Wernsen Wong, Yun Sing Koh, Gillian Dobbie |
| 2019 | IJCNN | Selective Hypothesis Transfer for Lifelong Learning. | Diana Benavides Prado, Yun Sing Koh, Patricia Riddle |
| 2019 | PRICAI | Supervised Clinical Abbreviations Detection and Normalisation Approach. | Xiaolong Huang, Edmond Zhang, Yun Sing Koh |
| 2019 | PRICAI | Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. | Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger |
| 2019 | SIGIR | Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. | Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli |
| 2018 | ADMA | Discovering High Utility Change Points in Customer Transaction Data. | Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Yun Sing Koh |
| 2018 | AusDM | Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle. | David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie |
| 2018 | AusDM | Predicting Air Quality from Low-Cost Sensor Measurements. | Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares |
| 2018 | DEXA | Mining Local High Utility Itemsets. | Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh |
| 2018 | ICDM | Volatility Drift Prediction for Transactional Data Streams. | Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie |
| 2018 | IJCNN | Predicting Concept Drift in Data Streams Using Metadata Clustering. | Robert Anderson, Yun Sing Koh, Gillian Dobbie |
| 2018 | SAC | Vehicle emission prediction using remote sensing data and machine learning techniques. | Jiazhen Chen, Gillian Dobbie, Yun Sing Koh, Elizabeth Somervell, Gustavo Olivares |
| 2017 | IJCAI | AccGenSVM: Selectively Transferring from Previous Hypotheses. | Diana Benavides Prado, Yun Sing Koh, Patricia Riddle |
| 2017 | PAKDD | Volatility Adaptive Classifier System. | Ruolin Jia, Yun Sing Koh, Gillian Dobbie |
| 2017 | PAKDD | mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. | Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle |
| 2016 | IJCNN | Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. | Kylie Chen, Yun Sing Koh, Patricia Riddle |
| 2016 | IJCNN | CD-TDS: Change detection in transactional data streams for frequent pattern mining. | Yun Sing Koh |
| 2016 | PAKDD | Phishing Detection on Twitter Streams. | Se Yeong Jeong, Yun Sing Koh, Gillian Dobbie |
| 2015 | DaWaK | Unsupervised Semantic and Syntactic Based Classification of Scientific Citations. | Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie |
| 2015 | DaWaK | StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams. | Robert Anderson, Yun Sing Koh |
| 2015 | DaWaK | HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values. | Yun Sing Koh, Russel Pears |
| 2014 | CEC | Web bots detection using Particle Swarm Optimization based clustering. | Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle |
| 2014 | DaWaK | Drift Detector for Memory-Constrained Environments. | Timothy D. Robinson, David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie |
| 2014 | ICDM | Detecting Volatility Shift in Data Streams. | David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears |
| 2014 | IJCNN | Attack detection in recommender systems based on target item analysis. | Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie |
| 2014 | PAKDD | Detecting Changes in Rare Patterns from Data Streams. | David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears |
| 2014 | SIGIR | Detection of abnormal profiles on group attacks in recommender systems. | Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie |
| 2013 | ADMA | Tracking Drift Types in Changing Data Streams. | David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears |
| 2013 | ADMA | Change Itemset Mining in Data Streams. | Minmin Zhang, Gillian Dobbie, Yun Sing Koh |
| 2013 | CIKM | Verb selection using semantic role labeling for citation classification. | Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie, Shafiq Alam |
| 2013 | DaWaK | Finding Maximal Overlapping Communities. | Eileen H.-C. Wei, Yun Sing Koh, Gillian Dobbie |
| 2013 | PAAMS | Analysis of Web Usage Data for Clustering Based Recommender System. | Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh |
| 2013 | PAKDD | One Pass Concept Change Detection for Data Streams. | Sripirakas Sakthithasan, Russel Pears, Yun Sing Koh |
| 2012 | AusDM | Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations. | Yun Sing Koh, Gillian Dobbie |
| 2012 | CEC | Hierarchical PSO clustering based recommender system. | Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh |
| 2012 | DaWaK | Rare Pattern Mining on Data Streams. | David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie |
| 2012 | DaWaK | Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model. | Yun Sing Koh, Russel Pears, Gillian Dobbie |
| 2012 | ICDM | Evaluating Fraud Detection Algorithms Using an Auction Data Generator. | Sidney Tsang, Gillian Dobbie, Yun Sing Koh |
| 2012 | PAKDD | WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights. | Yun Sing Koh, Russel Pears, Gillian Dobbie |
| 2011 | ADMA | Discriminatory Confidence Analysis in Pattern Mining. | Russel Pears, Yun Sing Koh, Gillian Dobbie |
| 2011 | DaWaK | SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining. | Yun Sing Koh, Gillian Dobbie |
| 2011 | DaWaK | RP-Tree: Rare Pattern Tree Mining. | Sidney Tsang, Yun Sing Koh, Gillian Dobbie |
| 2011 | PAKDD | Automatic Assignment of Item Weights for Pattern Mining on Data Streams. | Yun Sing Koh, Russel Pears, Gillian Dobbie |
| 2011 | PAKDD | Weighted Association Rule Mining Using Particle Swarm Optimization. | Russel Pears, Yun Sing Koh |
| 2010 | ADMA | EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining. | Russel Pears, Yun Sing Koh, Gillian Dobbie |
| 2010 | PAKDD | Valency Based Weighted Association Rule Mining. | Yun Sing Koh, Russel Pears, Wai-Kiang Yeap |
| 2009 | AusDM | Non-Redundant Rare Itemset Generation. | Yun Sing Koh, Russel Pears |
| 2009 | PAKDD | CBDT: A Concept Based Approach to Data Stream Mining. | Stefan Hoeglinger, Russel Pears, Yun Sing Koh |
| 2008 | AusDM | Rare Association Rule Mining via Transaction Clustering. | Yun Sing Koh, Russel Pears |
| 2008 | PAKDD | Mining Non-coincidental Rules without a User Defined Support Threshold. | Yun Sing Koh |
| 2008 | PAKDD | Transaction Clustering Using a Seeds Based Approach. | Yun Sing Koh, Russel Pears |
| 2006 | PAKDD | Mining Interesting Imperfectly Sporadic Rules. | Yun Sing Koh, Nathan Rountree, Richard A. O'Keefe |
| 2005 | PAKDD | Finding Sporadic Rules Using Apriori-Inverse. | Yun Sing Koh, Nathan Rountree |